Description
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
cos 20 cos 30+ sin 20 sin 30 =cos (20-30)=cos (-10) = cos 10 = 0.98
Completion Status:
100%
Review
Review
Anonymous
Excellent resource! Really helped me get the gist of things.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
Meta Analysis of Observational Studies in Epidemiology Summary
Write a 2 page APA format summary of your informed opinion regarding the validity of the use of meta-analysis in epidemiol ...
Meta Analysis of Observational Studies in Epidemiology Summary
Write a 2 page APA format summary of your informed opinion regarding the validity of the use of meta-analysis in epidemiological research. Include at least two strengths or limitations of meta-analysis as a systematic review technique. Provide evidence from at least one of the articles (attached) and justify your position.
Howard University Sample College Data Analytical Review
In this project you will chose a data set that interests you and investigate a possible association between two variables ...
Howard University Sample College Data Analytical Review
In this project you will chose a data set that interests you and investigate a possible association between two variables within that data set. This project will give you an opportunity to use StatCrunch to apply the skills and techniques you have learned in this class and to produce a professional report. To produce a successful project you must:Read and follow the instructions carefully.Give yourself sufficient time to work on the project.Write clearly, using appropriate statistical terminology and correct mathematical notation. College-level writing is expected, as is the use of proper grammar.Use StatCrunch to complete all calculations and graphs.Create original work. The following link describes, in detail, plagiarism, fair use and HCC’s academic policy: Fair Use and Academic Honesty (Links to an external site.) Furthermore, this means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.Submit a professional report that is typed and formatted and organized well.SUBMISSION PROTOCOLSubmit your project via Canvas as a PDF or Word file.10% will be deducted for each calendar day the project is submitted after the due date. A project is considered “submitted” when it is available for the professor to grade in Canvas. No credit is given after a submission 5 days late. This assignment utilizes Unicheck, a tool that checks for plagiarism. Unicheck is integrated into the Canvas submission process. All submissions will be compared against a database and receive an originality rating. PROJECT INSTRUCTIONSFor this project you are going to choose one data set from the list below that you find interesting and investigate an association between two variables within that data set. You will then examine the data and write a two page report. In your report you should:Introduce the data set and explain why you chose it.Describe the variables you chose and thoroughly explain what you are investigating. Be sure to define which variable is the explanatory variable and which is the response variable.Using StatCrunch, create an appropriate graph for the association you are investigating and calculate the correlation coefficient and the linear model. Be sure your graph is appropriately labeled and that it includes a title and then copy it into your paper.Report the correlation coefficient.Describe the association you are investigating using correct statistical terminology. Reference your graph and the correlation coefficient, and be sure to note any possible outliers.Report the linear model using correct notation.Interpret the slope and vertical intercept of your model, and discuss the appropriateness of your model.Summarize your findings and draw a conclusion.DATA SETSBelow is a list of data sets - choose one for your project. The links will not work directly, so please follow these directions: In Canvas, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website --> Open StatCrunch (yellow button at top of page, it will auto login)Then copy/paste a URL below into either the current tab or a new tabTo save your data and work, go to the Data tab and choose SaveTo Re-open your saved file, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website -->MyStatCrunch (on the right side)-->My Data U.S. CBP Drug Seizure Statistics: https://www.statcrunch.com/app/index.php?dataid=28...This data set summarizes the pounds of drugs seized at ports of entry and between points of entry by the U.S. Customs and Border Protection Agency. https://www.cbp.gov/newsroom/stats/cbp-enforcement...U.S. Presidential Data: https://www.statcrunch.com/app/index.php?dataid=31...This data set contains information on the U.S. Presidents from 1789-2019.Fatal Encounters Updated September 2018: https://www.statcrunch.com/app/index.php?dataid=30...This data set contains information on fatal encounters. Fatal Encounters is a non-profit organization that collects data on police involved deaths. Note: This is a volunteer agency collecting the data from people who are scouring new articles for evidence of these fatal encounters. Thus, this is not a complete population of fatal encounters, only a large sample. https://fatalencounters.org/College Basketball Arenas: https://www.statcrunch.com/app/index.php?dataid=29...This data set contains information on college basketball arenas throughout the country.Marriage vs. the Economy: https://www.statcrunch.com/app/index.php?dataid=28...This data set compares the number of marriages in the last 30 years to several factors of the economy.Medical Costs: https://www.statcrunch.com/app/index.php?dataid=26...This data set contains a variety of personal data in regards to medical costs.MLB August 2019 Batting: https://www.statcrunch.com/app/index.php?dataid=31...This data set contains MLB batter statistics and are year-to-date as of August 18, 2019.Sample College Data: https://www.statcrunch.com/app/index.php?dataid=31...This data set contains a variety of data for colleges and universities in Delaware, DC, Maryland, Pennsylvania, Virginia, and West Virginia. Data is for the year 2011.Fast Food Nutritional Data: https://www.statcrunch.com/app/index.php?dataid=25...This data set contains nutritional information on a variety of fast food items. Data was collected in January 2017 from online sources for each restaurant.Marvel vs. DC at the Box Office: https://www.statcrunch.com/app/index.php?dataid=31...This data set contains information on how the two comic book companies have fared at the box office. Note: The Adjusted column modifies the total Worldwide gross for inflation.NFL Player Data 2016: https://www.statcrunch.com/app/index.php?dataid=27...This data set lists the 2,764 NFL players for all team rosters as of July 22, 2016Car Details 2019 Models: https://www.statcrunch.com/app/index.php?dataid=32...This data set contains information on the 2019 models of widely-known sold cars. MSRP stands for Manufacturer Suggested Retail Price and MPG stands for Miles Per Gallon.Super Heroes: https://www.statcrunch.com/app/index.php?dataid=26...This data set contains various physical characteristics for over 700 fictional comic book superheroes. https://www.kaggle.com/claudiodavi/superhero-setMovie Budgets & Box Office Earnings (Updated Spring 2018): https://www.statcrunch.com/app/index.php?dataid=21...This data comes from the following website that tracks the financial performance of movies: https://www.the-numbers.com/movie/budgets/all; columns each are in millions of dollars COMPLETION CHECKLISTUse the following checklist when proofreading your project.For each aspect below, an excellent report will: IntroductionGive the name of the data set chosen as well as some details describing the data set. (This may require following links or referencing the text)Include a clear justification for why the data set was chosen.Involve two quantitative variables.Clearly and thoroughly describe the variables chosen. (This may require following links or referencing the text)Clearly and correctly assign explanatory and response variables.Thoroughly explain the association being investigated and give a logical justification for why the author believes the association exists.GraphInclude an appropriate scatterplot generated using StatCrunch.Accurately assign and clearly label the axes for the scatterplot.Include an appropriate title for the scatterplot. Include the appropriate correlation coefficient for the association generated using StatCrunch.Include an accurate and thorough description of the association with reference to the graph, correlation coefficient and any outliers. Linear Association ModelInclude an appropriate linear regression model generated using StatCrunch and written using correct notation and typesetting.Give an accurate and detailed interpretation of the slope of the linear regression model.Give an accurate and detailed interpretation of the y-intercept of the linear regression model.Thoroughly discuss the appropriateness of the linear regression model with reference to other aspects of the report.ConclusionIncludes a summary of the findings and a clear conclusion regarding the association.Appear highly professional, be easy to read and comprehend, and use correct statistical vocabulary. ASSISTANCEFor this project, you may consult any resource for general help and advice provided that your computations, explanations, and embedded diagrams are your own work.The Math Center is a drop-in tutoring center for math located in HR230. For more information, click the following link: MaC (Links to an external site.) HOWL, the HCC Online Writing Lab, offers assistance with writing assignments. For more information, click on the following link: HOWL (Links to an external site.) RubricLinear Regression RubricLinear Regression RubricCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeIntroduction: Data SetAn excellent report will give the name of the data set chosen as well as some details describing the data set.2.0 ptsFull CreditName of the data set chosen as well as some details describing the data set.1.0 ptsHalf CreditName of data set is given but no further description or details.0.0 ptsNo CreditData Set chosen is not identified.2.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Justification for Data SetAn excellent report will include a clear justification for why the author chose the data set.2.0 ptsFull CreditClear and logical justification given.1.0 ptsHalf CreditJustification is overly vague or not logical.0.0 ptsNo CreditNo justification given.2.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Two Quantitative VariablesAn excellent report will involve two quantitative variables.2.0 ptsFull CreditBoth variables chosen are quantitative.1.0 ptsHalf CreditOnly one of the chosen variables is quantitative.0.0 ptsNo CreditNeither variable chosen is quantitative.2.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Description of VariablesAn excellent report will include a clear and thorough description of the chosen variables .4.0 ptsFull CreditClear and thorough description of variables given.2.0 ptsHalf CreditDescription of variables is unclear or nondescript.0.0 ptsNo CreditNo description of variables given.4.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Explanation of InvestigationAn excellent report will include a clear and thorough explanation and justification of the association being investigated.6.0 ptsFull CreditClear and thorough explanation of what is being investigated including logical justification.3.0 ptsHalf CreditDescription of what is being investigated is vague or illogical.0.0 ptsNo CreditDescription of what is being investigated is missing.6.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Explanatory and Response VariablesAn excellent report will clearly and correctly assign the explanatory and response variables.2.0 ptsFull CreditExplanatory and Response variables are clearly and appropriately assigned.1.0 ptsHalf CreditExplanatory and response variables are assigned incorrectly.0.0 ptsNo CreditIt is not clear which is the explanatory variable and which is the response variable.2.0 ptsThis criterion is linked to a Learning OutcomeGraph: Scatterplot Generated using StatCrunchAn excellent report will include an appropriate scatterplot generated using StatCrunch.6.0 ptsFull CreditReport includes an appropriate scatterplot generated using StatCrunch.3.0 ptsHalf CreditA scatterplot is present but it was not generated using StatCrunch.0.0 ptsNo CreditNo scatterplot given or scatterplot was created by hand.6.0 ptsThis criterion is linked to a Learning OutcomeGraph: Appropriately Assigned AxesAn excellent report will include appropriately assigned and clearly labeled axes for the scatterplot.2.0 ptsFull CreditAxes are appropriately assigned and labeled.1.0 ptsHalf CreditAxes are assigned incorrectly.0.0 ptsNo CreditAxes are not labeled.2.0 ptsThis criterion is linked to a Learning OutcomeGraph: TitleAn excellent report will include an appropriate title for the scatterplot.2.0 ptsFull CreditScatterplot includes an appropriate title.1.0 ptsHalf CreditA title is present but it does not accurately describe the graph.0.0 ptsNo CreditScatterplot does not have a title.2.0 ptsThis criterion is linked to a Learning OutcomeCorrelation CoefficientAn excellent report will include the appropriate correlation coefficient generated using StatCrunch.4.0 ptsFull CreditAppropriate correlation coefficient is generated using StatCrunch and it is clear that the student knows which value outputted by StatCrunch is the correlation coefficient.2.0 ptsHalf CreditStudent includes what was generated by StatCrunch, but it is unclear that they know which value is the correlation coefficient.0.0 ptsNo CreditNo correlation coefficient is given.4.0 ptsThis criterion is linked to a Learning OutcomeDescription of AssociationAn excellent report will include an accurate and thorough description of the association with reference to the graph, the correlation coefficient and any outliers.8.0 ptsFull CreditAn accurate and thorough description of the association is given with references to the scatterplot, the correlation coefficient and any outliers.6.0 ptsPartial CreditDescription of association is correct but there is no reference to either the graph, the correlation coefficient or any outliers.4.0 ptsHalf CreditDescription of association is given but it is partially incomplete or incorrect.2.0 ptsPartial CreditThe description of the association has many errors and does not reference the scatterplot, the correlation coefficient or any outliers.0.0 ptsNo CreditNo description of the association given.8.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression ModelAn excellent report will include an appropriate linear regression model generated using StatCrunch.4.0 ptsFull CreditAppropriate model is generated using StatCrunch and it is clear that the student knows the equation for the model outputted by StatCrunch.2.0 ptsHalf CreditStudent includes what was generated by StatCrunch, but it is unclear that they know what the linear regression model is.0.0 ptsNo CreditNo linear regression model is given.4.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression Model: Correctly TypedAn excellent report includes the linear regression model written using correct notation and typesetting.3.0 ptsFull CreditLinear regression model is correct and written using proper notation.2.0 ptsPartial CreditLinear regression model is correct but not written using proper notation.1.0 ptsPartial CreditLinear regression model is not correct.0.0 ptsNo CreditNo linear regression model is given.3.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression Model: Interpretation of SlopeAn excellent report will include an accurate and detailed interpretation of the slope.2.0 ptsFull CreditInterpretation of the slope of the model is correct and precise.1.0 ptsHalf CreditInterpretation of the slope is vague or has minor errors.0.0 ptsNo CreditInterpretation of slope is missing or completely incorrect.2.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression Model: Interpretation of InterceptAn excellent report will include an accurate and detailed interpretation of the intercept.2.0 ptsFull CreditInterpretation of the intercept of the model is correct and precise.1.0 ptsHalf CreditInterpretation of the intercept is vague or has minor errors.0.0 ptsNo CreditInterpretation of the intercept is missing or completely incorrect.2.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression Model: Appropriateness of ModelAn excellent report will include a detailed and thorough discussion of the linear regression model with reference to other aspects of the report.4.0 ptsFull CreditDiscussion of appropriateness of linear regression model is detailed and thorough and references other aspects of the report.2.0 ptsHalf CreditDiscussion is vague and/or doesn't reference other aspects of report.0.0 ptsNo CreditNo discussion of the appropriateness of the model is given.4.0 ptsThis criterion is linked to a Learning OutcomeConclusion: Summary of FindingsAn excellent report includes an accurate summary of the findings.2.0 ptsFull CreditA sufficient summary of the findings is given.1.0 ptsHalf CreditThe summary of findings is incorrect or incomplete.0.0 ptsNo CreditNo summary is given.2.0 ptsThis criterion is linked to a Learning OutcomeConclusion: Final ConclusionAn excellent report includes a clear and accurate final conclusion on the association being investigated.4.0 ptsFull CreditFinal conclusion on the association being investigated is clear and accurate.2.0 ptsHalf CreditFinal conclusion is incomplete or partially incorrect.0.0 ptsNo CreditNo final conclusion is given.4.0 ptsThis criterion is linked to a Learning OutcomeProfessionalismAn excellent report is highly professional in appearance, easy to read and comprehend, and uses correct statistical vocabulary.4.0 ptsFull CreditReport is highly professional in appearance, easy to read and comprehend, and uses correct statistical vocabulary.2.0 ptsHalf CreditReport demonstrates some professionalism but contains distracting errors or problems with formatting, organization, vocabulary or grammar.0.0 ptsNo CreditReport is severely lacking in professionalism and/or errors or problems with formatting, organization, vocabulary or grammar make report far too difficult to read.4.0 ptsTotal Points: 65.0
4 pages
One Tailed Test
Finer Diner claims that on any given night, the average number of tables served is 80. A food services researcher feels th ...
One Tailed Test
Finer Diner claims that on any given night, the average number of tables served is 80. A food services researcher feels that this average is ...
17 pages
Final Exam Math 180 70
Show work on all story problems, u-substitution and implicit For the function f whose graph is given, state the value of e ...
Final Exam Math 180 70
Show work on all story problems, u-substitution and implicit For the function f whose graph is given, state the value of each quantity, if it exists. ...
20 question statistics, homework help
1. The following is suppose to represent probability distribution table. What is the missing value?XP(X)30.450.59?2. Find ...
20 question statistics, homework help
1. The following is suppose to represent probability distribution table. What is the missing value?XP(X)30.450.59?2. Find the expected value of X using the table below.XP(X)00.410.3─10.33. If the standard deviation of a random variable is 5,what is its variance?4. Any normal distribution iscontinuousdiscrete5. some are discrete, some are continuousa binomial distribution6. is Poisson distribution5. Let X be a binomial random variable with number of trials 100 and expected value 20. What is the probability of success of X?6. There are 17 blue, 5 green, and 3 red balls in a jar. We randomly select a ball and return it back to the jar. We repeat it 8 times. To find the probability of the event that every time we get a green ball we need to use the following distribution:binomial with number of trials 8 and probability of success 0.2binomial with number of trials 25 and probability of success 0.5binomial with number of trials 5 and probability of success 0.2binomial with number of trials 8 and probability of success 0.8binomial with number of trials 8 and probability of success 1/3Poisson Distribution with average 5Poisson Distribution with average 8binomial with number of trials 25 and probability of success 0.27. The average number of homes with 3 or more bedrooms sold by Acme Reality is 14 homes per week. To find the probability that exactly 3 such homes will be sold tomorrow we need to use the following distribution:Poisson distribution with mean 2Poisson distribution with mean 14Poisson distribution with mean 7Poisson distribution with mean 3Binomial with number of trials 7 and probability of success 2/7Binomial with number of trials 2 and probability of success 2/7Binomial with number of trials 7 and probability of success 1/7Standard normal distribution8. A random variable X assumes values 1,2,3,..., 8,9,and 10, each with the same probability, namely the probability 0.1. Find the probability of X getting at least 3.9. A random variable X assumes values 1,2,3,..., 8,9,10, each with the same probability, namely the probability 0.1. Find the probability of X getting no more than 4.10. A card is drawn, with replacement, from a regular deck of cards 16 times. Let random variable X represent number of clubs among those 16 cards selected (there are 13 clubs in every deck; there are 52 cards in a deck). Find the variance of X,11. The length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2 months. Find the probability that an instrument produced by this machine will last less than 7 months.Round to the nearest thousandth.12. The length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2 months.Find the probability that an instrument produced by this machine will last between 7 and 12 months. Round to the nearest thousandth.13. The length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2 months. Find how long an instrument that separates the bottom 83.398% will last? Round to the nearest hundredth.14. The length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2 months. What is the probability that the average number of months that these 100 instruments will last is greater than 12.2 months? Round to the nearest thousandth.15. A die is rolled 360 times. If you want to use normal approximation to find the probability that the number of 4 was rolled at least 100 times,what is the mean of the normal distribution that you would use in this case.16. A die is rolled 180 times. If you want to use normal approximation to find the probability that the number of 4 was rolled at least 20 times,what is the standard deviation of the normal distribution that you would use in this case17. A die is rolled 360 times. Let say that you want to use normal approximation to find the probability that the number of 4 was rolled less than 100 times. You need to find the probability that X<100. Explain how you would use continuity correction in this case.18. A die is rolled 360 times. Let say that you want to use normal approximation to find the probability that the number of 4 was rolled exactly 100 times. You need to find the probability that X=100. Explain how you would use continuity correction in this case.19. What is the name of the theorem that states that the sampling distribution of the sample mean is approximately normal when the sample is large?20. Determine whether the following random variables have a binomial distribution:A) Ten students are chosen from a statistics class (with replacement) of 400 students. Let X be the number of students who passed the class.B) A die is tossed three times. Let X be the sum of the three numbers obtained.C) A coin is tossed until a head appears. Let X be the number of tosses.only A is a binomial distributiononly B is a binomial distributiononly C is a binomial distributiononly A and B is a binomial distributiononly A and C is a binomial distributiononly B and C is a binomial distributionall A, B, and C are binomial distributionsnone is a binomial
Similar Content
Transformasi Geometri
Lembar Kerja Peserta Didik Lingkup Materi Translasi...
Probability Quiz
Please answer all questions! and show work!!! if you have any questions, feel free to message me....
Singapore Institute of Technology Linear Programming Worksheet
Please refer to document attached.1a) Discuss among the two alternatives proposed by Axel, which one NewCrest will choose....
math please its difficult
john and O'Neal are playing a board game in which they roll two number cubes. John needs to get a sum of 8 on the number c...
MATH 1680 Elementary Probability and Statistics Worksheet
HIST 2620 SECTION 004 - UNITED STATES HISTORY SINCE 1865 (FALL 2022 1)
Calendar Event HIST 2620 Section 004 - Julia Ortiz ...
Writing Assignment: Graphing Trigonometric Functions 50 Points
Writing Assignment: Graphing Trigonometric Functions 50 Points
It is now time for you to practice graphing trigonometric ...
Applied Graph Theory
...
Math Calculus Apr 2021 Studypool
d) -9.8 represents the instantaneous rate of change of a) Re-writing the tangent line in the slope-intercept form to Sure...
Why Confidence Intervals Are Wider With
Why confidence intervals are wider with (a) larger confidence levels, (b) smaller sample sizes. Confidence intervals are a...
Related Tags
Book Guides
100 Side Hustles
by Chris Guillebeau
Death on the Nile
by Agatha Christie
Oliver Twist
by Charles Dickens
Dracula
by Bram Stoker
The Outsiders
by S.E. Hinton
The Underground Railroad
by Colson Whitehead
Cat on a Hot Tin Roof
by Tennessee Williams
The Atlantis Gene
by S. A. Beck
The Second Sex
by Simone de Beauvoir
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Meta Analysis of Observational Studies in Epidemiology Summary
Write a 2 page APA format summary of your informed opinion regarding the validity of the use of meta-analysis in epidemiol ...
Meta Analysis of Observational Studies in Epidemiology Summary
Write a 2 page APA format summary of your informed opinion regarding the validity of the use of meta-analysis in epidemiological research. Include at least two strengths or limitations of meta-analysis as a systematic review technique. Provide evidence from at least one of the articles (attached) and justify your position.
Howard University Sample College Data Analytical Review
In this project you will chose a data set that interests you and investigate a possible association between two variables ...
Howard University Sample College Data Analytical Review
In this project you will chose a data set that interests you and investigate a possible association between two variables within that data set. This project will give you an opportunity to use StatCrunch to apply the skills and techniques you have learned in this class and to produce a professional report. To produce a successful project you must:Read and follow the instructions carefully.Give yourself sufficient time to work on the project.Write clearly, using appropriate statistical terminology and correct mathematical notation. College-level writing is expected, as is the use of proper grammar.Use StatCrunch to complete all calculations and graphs.Create original work. The following link describes, in detail, plagiarism, fair use and HCC’s academic policy: Fair Use and Academic Honesty (Links to an external site.) Furthermore, this means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.Submit a professional report that is typed and formatted and organized well.SUBMISSION PROTOCOLSubmit your project via Canvas as a PDF or Word file.10% will be deducted for each calendar day the project is submitted after the due date. A project is considered “submitted” when it is available for the professor to grade in Canvas. No credit is given after a submission 5 days late. This assignment utilizes Unicheck, a tool that checks for plagiarism. Unicheck is integrated into the Canvas submission process. All submissions will be compared against a database and receive an originality rating. PROJECT INSTRUCTIONSFor this project you are going to choose one data set from the list below that you find interesting and investigate an association between two variables within that data set. You will then examine the data and write a two page report. In your report you should:Introduce the data set and explain why you chose it.Describe the variables you chose and thoroughly explain what you are investigating. Be sure to define which variable is the explanatory variable and which is the response variable.Using StatCrunch, create an appropriate graph for the association you are investigating and calculate the correlation coefficient and the linear model. Be sure your graph is appropriately labeled and that it includes a title and then copy it into your paper.Report the correlation coefficient.Describe the association you are investigating using correct statistical terminology. Reference your graph and the correlation coefficient, and be sure to note any possible outliers.Report the linear model using correct notation.Interpret the slope and vertical intercept of your model, and discuss the appropriateness of your model.Summarize your findings and draw a conclusion.DATA SETSBelow is a list of data sets - choose one for your project. The links will not work directly, so please follow these directions: In Canvas, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website --> Open StatCrunch (yellow button at top of page, it will auto login)Then copy/paste a URL below into either the current tab or a new tabTo save your data and work, go to the Data tab and choose SaveTo Re-open your saved file, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website -->MyStatCrunch (on the right side)-->My Data U.S. CBP Drug Seizure Statistics: https://www.statcrunch.com/app/index.php?dataid=28...This data set summarizes the pounds of drugs seized at ports of entry and between points of entry by the U.S. Customs and Border Protection Agency. https://www.cbp.gov/newsroom/stats/cbp-enforcement...U.S. Presidential Data: https://www.statcrunch.com/app/index.php?dataid=31...This data set contains information on the U.S. Presidents from 1789-2019.Fatal Encounters Updated September 2018: https://www.statcrunch.com/app/index.php?dataid=30...This data set contains information on fatal encounters. Fatal Encounters is a non-profit organization that collects data on police involved deaths. Note: This is a volunteer agency collecting the data from people who are scouring new articles for evidence of these fatal encounters. Thus, this is not a complete population of fatal encounters, only a large sample. https://fatalencounters.org/College Basketball Arenas: https://www.statcrunch.com/app/index.php?dataid=29...This data set contains information on college basketball arenas throughout the country.Marriage vs. the Economy: https://www.statcrunch.com/app/index.php?dataid=28...This data set compares the number of marriages in the last 30 years to several factors of the economy.Medical Costs: https://www.statcrunch.com/app/index.php?dataid=26...This data set contains a variety of personal data in regards to medical costs.MLB August 2019 Batting: https://www.statcrunch.com/app/index.php?dataid=31...This data set contains MLB batter statistics and are year-to-date as of August 18, 2019.Sample College Data: https://www.statcrunch.com/app/index.php?dataid=31...This data set contains a variety of data for colleges and universities in Delaware, DC, Maryland, Pennsylvania, Virginia, and West Virginia. Data is for the year 2011.Fast Food Nutritional Data: https://www.statcrunch.com/app/index.php?dataid=25...This data set contains nutritional information on a variety of fast food items. Data was collected in January 2017 from online sources for each restaurant.Marvel vs. DC at the Box Office: https://www.statcrunch.com/app/index.php?dataid=31...This data set contains information on how the two comic book companies have fared at the box office. Note: The Adjusted column modifies the total Worldwide gross for inflation.NFL Player Data 2016: https://www.statcrunch.com/app/index.php?dataid=27...This data set lists the 2,764 NFL players for all team rosters as of July 22, 2016Car Details 2019 Models: https://www.statcrunch.com/app/index.php?dataid=32...This data set contains information on the 2019 models of widely-known sold cars. MSRP stands for Manufacturer Suggested Retail Price and MPG stands for Miles Per Gallon.Super Heroes: https://www.statcrunch.com/app/index.php?dataid=26...This data set contains various physical characteristics for over 700 fictional comic book superheroes. https://www.kaggle.com/claudiodavi/superhero-setMovie Budgets & Box Office Earnings (Updated Spring 2018): https://www.statcrunch.com/app/index.php?dataid=21...This data comes from the following website that tracks the financial performance of movies: https://www.the-numbers.com/movie/budgets/all; columns each are in millions of dollars COMPLETION CHECKLISTUse the following checklist when proofreading your project.For each aspect below, an excellent report will: IntroductionGive the name of the data set chosen as well as some details describing the data set. (This may require following links or referencing the text)Include a clear justification for why the data set was chosen.Involve two quantitative variables.Clearly and thoroughly describe the variables chosen. (This may require following links or referencing the text)Clearly and correctly assign explanatory and response variables.Thoroughly explain the association being investigated and give a logical justification for why the author believes the association exists.GraphInclude an appropriate scatterplot generated using StatCrunch.Accurately assign and clearly label the axes for the scatterplot.Include an appropriate title for the scatterplot. Include the appropriate correlation coefficient for the association generated using StatCrunch.Include an accurate and thorough description of the association with reference to the graph, correlation coefficient and any outliers. Linear Association ModelInclude an appropriate linear regression model generated using StatCrunch and written using correct notation and typesetting.Give an accurate and detailed interpretation of the slope of the linear regression model.Give an accurate and detailed interpretation of the y-intercept of the linear regression model.Thoroughly discuss the appropriateness of the linear regression model with reference to other aspects of the report.ConclusionIncludes a summary of the findings and a clear conclusion regarding the association.Appear highly professional, be easy to read and comprehend, and use correct statistical vocabulary. ASSISTANCEFor this project, you may consult any resource for general help and advice provided that your computations, explanations, and embedded diagrams are your own work.The Math Center is a drop-in tutoring center for math located in HR230. For more information, click the following link: MaC (Links to an external site.) HOWL, the HCC Online Writing Lab, offers assistance with writing assignments. For more information, click on the following link: HOWL (Links to an external site.) RubricLinear Regression RubricLinear Regression RubricCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeIntroduction: Data SetAn excellent report will give the name of the data set chosen as well as some details describing the data set.2.0 ptsFull CreditName of the data set chosen as well as some details describing the data set.1.0 ptsHalf CreditName of data set is given but no further description or details.0.0 ptsNo CreditData Set chosen is not identified.2.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Justification for Data SetAn excellent report will include a clear justification for why the author chose the data set.2.0 ptsFull CreditClear and logical justification given.1.0 ptsHalf CreditJustification is overly vague or not logical.0.0 ptsNo CreditNo justification given.2.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Two Quantitative VariablesAn excellent report will involve two quantitative variables.2.0 ptsFull CreditBoth variables chosen are quantitative.1.0 ptsHalf CreditOnly one of the chosen variables is quantitative.0.0 ptsNo CreditNeither variable chosen is quantitative.2.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Description of VariablesAn excellent report will include a clear and thorough description of the chosen variables .4.0 ptsFull CreditClear and thorough description of variables given.2.0 ptsHalf CreditDescription of variables is unclear or nondescript.0.0 ptsNo CreditNo description of variables given.4.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Explanation of InvestigationAn excellent report will include a clear and thorough explanation and justification of the association being investigated.6.0 ptsFull CreditClear and thorough explanation of what is being investigated including logical justification.3.0 ptsHalf CreditDescription of what is being investigated is vague or illogical.0.0 ptsNo CreditDescription of what is being investigated is missing.6.0 ptsThis criterion is linked to a Learning OutcomeIntroduction: Explanatory and Response VariablesAn excellent report will clearly and correctly assign the explanatory and response variables.2.0 ptsFull CreditExplanatory and Response variables are clearly and appropriately assigned.1.0 ptsHalf CreditExplanatory and response variables are assigned incorrectly.0.0 ptsNo CreditIt is not clear which is the explanatory variable and which is the response variable.2.0 ptsThis criterion is linked to a Learning OutcomeGraph: Scatterplot Generated using StatCrunchAn excellent report will include an appropriate scatterplot generated using StatCrunch.6.0 ptsFull CreditReport includes an appropriate scatterplot generated using StatCrunch.3.0 ptsHalf CreditA scatterplot is present but it was not generated using StatCrunch.0.0 ptsNo CreditNo scatterplot given or scatterplot was created by hand.6.0 ptsThis criterion is linked to a Learning OutcomeGraph: Appropriately Assigned AxesAn excellent report will include appropriately assigned and clearly labeled axes for the scatterplot.2.0 ptsFull CreditAxes are appropriately assigned and labeled.1.0 ptsHalf CreditAxes are assigned incorrectly.0.0 ptsNo CreditAxes are not labeled.2.0 ptsThis criterion is linked to a Learning OutcomeGraph: TitleAn excellent report will include an appropriate title for the scatterplot.2.0 ptsFull CreditScatterplot includes an appropriate title.1.0 ptsHalf CreditA title is present but it does not accurately describe the graph.0.0 ptsNo CreditScatterplot does not have a title.2.0 ptsThis criterion is linked to a Learning OutcomeCorrelation CoefficientAn excellent report will include the appropriate correlation coefficient generated using StatCrunch.4.0 ptsFull CreditAppropriate correlation coefficient is generated using StatCrunch and it is clear that the student knows which value outputted by StatCrunch is the correlation coefficient.2.0 ptsHalf CreditStudent includes what was generated by StatCrunch, but it is unclear that they know which value is the correlation coefficient.0.0 ptsNo CreditNo correlation coefficient is given.4.0 ptsThis criterion is linked to a Learning OutcomeDescription of AssociationAn excellent report will include an accurate and thorough description of the association with reference to the graph, the correlation coefficient and any outliers.8.0 ptsFull CreditAn accurate and thorough description of the association is given with references to the scatterplot, the correlation coefficient and any outliers.6.0 ptsPartial CreditDescription of association is correct but there is no reference to either the graph, the correlation coefficient or any outliers.4.0 ptsHalf CreditDescription of association is given but it is partially incomplete or incorrect.2.0 ptsPartial CreditThe description of the association has many errors and does not reference the scatterplot, the correlation coefficient or any outliers.0.0 ptsNo CreditNo description of the association given.8.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression ModelAn excellent report will include an appropriate linear regression model generated using StatCrunch.4.0 ptsFull CreditAppropriate model is generated using StatCrunch and it is clear that the student knows the equation for the model outputted by StatCrunch.2.0 ptsHalf CreditStudent includes what was generated by StatCrunch, but it is unclear that they know what the linear regression model is.0.0 ptsNo CreditNo linear regression model is given.4.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression Model: Correctly TypedAn excellent report includes the linear regression model written using correct notation and typesetting.3.0 ptsFull CreditLinear regression model is correct and written using proper notation.2.0 ptsPartial CreditLinear regression model is correct but not written using proper notation.1.0 ptsPartial CreditLinear regression model is not correct.0.0 ptsNo CreditNo linear regression model is given.3.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression Model: Interpretation of SlopeAn excellent report will include an accurate and detailed interpretation of the slope.2.0 ptsFull CreditInterpretation of the slope of the model is correct and precise.1.0 ptsHalf CreditInterpretation of the slope is vague or has minor errors.0.0 ptsNo CreditInterpretation of slope is missing or completely incorrect.2.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression Model: Interpretation of InterceptAn excellent report will include an accurate and detailed interpretation of the intercept.2.0 ptsFull CreditInterpretation of the intercept of the model is correct and precise.1.0 ptsHalf CreditInterpretation of the intercept is vague or has minor errors.0.0 ptsNo CreditInterpretation of the intercept is missing or completely incorrect.2.0 ptsThis criterion is linked to a Learning OutcomeLinear Regression Model: Appropriateness of ModelAn excellent report will include a detailed and thorough discussion of the linear regression model with reference to other aspects of the report.4.0 ptsFull CreditDiscussion of appropriateness of linear regression model is detailed and thorough and references other aspects of the report.2.0 ptsHalf CreditDiscussion is vague and/or doesn't reference other aspects of report.0.0 ptsNo CreditNo discussion of the appropriateness of the model is given.4.0 ptsThis criterion is linked to a Learning OutcomeConclusion: Summary of FindingsAn excellent report includes an accurate summary of the findings.2.0 ptsFull CreditA sufficient summary of the findings is given.1.0 ptsHalf CreditThe summary of findings is incorrect or incomplete.0.0 ptsNo CreditNo summary is given.2.0 ptsThis criterion is linked to a Learning OutcomeConclusion: Final ConclusionAn excellent report includes a clear and accurate final conclusion on the association being investigated.4.0 ptsFull CreditFinal conclusion on the association being investigated is clear and accurate.2.0 ptsHalf CreditFinal conclusion is incomplete or partially incorrect.0.0 ptsNo CreditNo final conclusion is given.4.0 ptsThis criterion is linked to a Learning OutcomeProfessionalismAn excellent report is highly professional in appearance, easy to read and comprehend, and uses correct statistical vocabulary.4.0 ptsFull CreditReport is highly professional in appearance, easy to read and comprehend, and uses correct statistical vocabulary.2.0 ptsHalf CreditReport demonstrates some professionalism but contains distracting errors or problems with formatting, organization, vocabulary or grammar.0.0 ptsNo CreditReport is severely lacking in professionalism and/or errors or problems with formatting, organization, vocabulary or grammar make report far too difficult to read.4.0 ptsTotal Points: 65.0
4 pages
One Tailed Test
Finer Diner claims that on any given night, the average number of tables served is 80. A food services researcher feels th ...
One Tailed Test
Finer Diner claims that on any given night, the average number of tables served is 80. A food services researcher feels that this average is ...
17 pages
Final Exam Math 180 70
Show work on all story problems, u-substitution and implicit For the function f whose graph is given, state the value of e ...
Final Exam Math 180 70
Show work on all story problems, u-substitution and implicit For the function f whose graph is given, state the value of each quantity, if it exists. ...
20 question statistics, homework help
1. The following is suppose to represent probability distribution table. What is the missing value?XP(X)30.450.59?2. Find ...
20 question statistics, homework help
1. The following is suppose to represent probability distribution table. What is the missing value?XP(X)30.450.59?2. Find the expected value of X using the table below.XP(X)00.410.3─10.33. If the standard deviation of a random variable is 5,what is its variance?4. Any normal distribution iscontinuousdiscrete5. some are discrete, some are continuousa binomial distribution6. is Poisson distribution5. Let X be a binomial random variable with number of trials 100 and expected value 20. What is the probability of success of X?6. There are 17 blue, 5 green, and 3 red balls in a jar. We randomly select a ball and return it back to the jar. We repeat it 8 times. To find the probability of the event that every time we get a green ball we need to use the following distribution:binomial with number of trials 8 and probability of success 0.2binomial with number of trials 25 and probability of success 0.5binomial with number of trials 5 and probability of success 0.2binomial with number of trials 8 and probability of success 0.8binomial with number of trials 8 and probability of success 1/3Poisson Distribution with average 5Poisson Distribution with average 8binomial with number of trials 25 and probability of success 0.27. The average number of homes with 3 or more bedrooms sold by Acme Reality is 14 homes per week. To find the probability that exactly 3 such homes will be sold tomorrow we need to use the following distribution:Poisson distribution with mean 2Poisson distribution with mean 14Poisson distribution with mean 7Poisson distribution with mean 3Binomial with number of trials 7 and probability of success 2/7Binomial with number of trials 2 and probability of success 2/7Binomial with number of trials 7 and probability of success 1/7Standard normal distribution8. A random variable X assumes values 1,2,3,..., 8,9,and 10, each with the same probability, namely the probability 0.1. Find the probability of X getting at least 3.9. A random variable X assumes values 1,2,3,..., 8,9,10, each with the same probability, namely the probability 0.1. Find the probability of X getting no more than 4.10. A card is drawn, with replacement, from a regular deck of cards 16 times. Let random variable X represent number of clubs among those 16 cards selected (there are 13 clubs in every deck; there are 52 cards in a deck). Find the variance of X,11. The length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2 months. Find the probability that an instrument produced by this machine will last less than 7 months.Round to the nearest thousandth.12. The length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2 months.Find the probability that an instrument produced by this machine will last between 7 and 12 months. Round to the nearest thousandth.13. The length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2 months. Find how long an instrument that separates the bottom 83.398% will last? Round to the nearest hundredth.14. The length of life of an instrument produced by a machine has a normal distribution with a mean of 12 months and standard deviation of 2 months. What is the probability that the average number of months that these 100 instruments will last is greater than 12.2 months? Round to the nearest thousandth.15. A die is rolled 360 times. If you want to use normal approximation to find the probability that the number of 4 was rolled at least 100 times,what is the mean of the normal distribution that you would use in this case.16. A die is rolled 180 times. If you want to use normal approximation to find the probability that the number of 4 was rolled at least 20 times,what is the standard deviation of the normal distribution that you would use in this case17. A die is rolled 360 times. Let say that you want to use normal approximation to find the probability that the number of 4 was rolled less than 100 times. You need to find the probability that X<100. Explain how you would use continuity correction in this case.18. A die is rolled 360 times. Let say that you want to use normal approximation to find the probability that the number of 4 was rolled exactly 100 times. You need to find the probability that X=100. Explain how you would use continuity correction in this case.19. What is the name of the theorem that states that the sampling distribution of the sample mean is approximately normal when the sample is large?20. Determine whether the following random variables have a binomial distribution:A) Ten students are chosen from a statistics class (with replacement) of 400 students. Let X be the number of students who passed the class.B) A die is tossed three times. Let X be the sum of the three numbers obtained.C) A coin is tossed until a head appears. Let X be the number of tosses.only A is a binomial distributiononly B is a binomial distributiononly C is a binomial distributiononly A and B is a binomial distributiononly A and C is a binomial distributiononly B and C is a binomial distributionall A, B, and C are binomial distributionsnone is a binomial
Earn money selling
your Study Documents