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University of Nevada Las Vegas Mathematical Equations Exam Practice
Hello? Can you help me do these 21 questions of math please?You also need to use excel files to finish these questions too ...
University of Nevada Las Vegas Mathematical Equations Exam Practice
Hello? Can you help me do these 21 questions of math please?You also need to use excel files to finish these questions too.You may only use Excel and this Word document.You will put all of your answers and support in THIS Word file. This means do not use the words “look at my Excel file” for the answer. The evaluator will not be looking at your Excel file except in rare circumstances where an answer does not make sense and the Excel file is being used to evaluate partial credit. In other words, “Excel file consulted = less than full points on question.”When asked to put mathematical equations, you may either put in actual mathematical equations or approximate mathematical equations (e.g., B0 or β0 are acceptable)Round all answers to 2 decimal places.Save often. Submitting the correct and completed file is your own responsibility.When you complete your exam submit your Word and Excel documents within the Canvas quizso I will need the excel file tooI attached filesone file is for the paper of questions, the other one is for data
Rasmussen College Scatterplot Statistics Presentation
Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the ...
Rasmussen College Scatterplot Statistics Presentation
Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF). As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work. Concept being Studied Correlation and regression Creating scatterplots Constructing and interpreting a Hypothesis Test for Correlation using r as the test statistic You are given a spreadsheet that contains the following information: Magnitude measured on the Richter scale Depth in km Using the spreadsheet, you will answer the problems below in a PowerPoint presentation. What to Submit The PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above. Slide 1: Title slide Slide 2: Introduce your scenario and data set including the variables provided. Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot. Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values. Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain. Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation. Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units. Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario. Along with your PowerPoint presentation, you should include your Excel document which shows all calculations. Which of the following is not a correct value for a linear correlation coefficient for sample data r? Select one: a. 0.0012 b. 1/7 c. - 0.95 d. 1.0002 A correlation coefficient of -0.95 indicates what kind of relations between the two variables? Select one: a. Strong positive correlation b. Weak negative correlation c. Strong negative correlation d. No correlation Question 3 The relationship between coefficient of correlation and coefficient of determination is that: Select one: a. They are unrelated b. The coefficient of determination is the coefficient of correlation squared c. The coefficient of correlation is the coefficient of determination squared d. They are equal Question 4 When determining whether a correlation exists, it is a good idea to first explore the data by plotting a scatter plot. Select one: True False Question 5 a. The strength of correlation between the dependent and independent variables b. The difference between two variables c. Standard error of estimate d. The percent of variations in the dependent variable explained by the independent variables Question 6 Regression equations are often useful for predicting the value of one variable, given a value of the other variable. Select one: True False Question 7 Which one of the following values is not required to calculate the correlation coefficient r? Select one: a. The number of pairs of sample data n b. The sum of all values of x Σx c. The sum of all values of x2y2 Σx2y2 d. The sum of x multiplied by y Σxy Question 8 The most commonly used formula to describe the linear regression is: Select one: a. b. c. d. Question 9 Which of the following is not a name for the straight line that best fits the scatter plot of paired sample data? Select one: a. Regression line b. Line of best fit c. Scatter line d. Least-squares line Question 10 A correlation exists between two variables only when the values of one variable are very strongly associated with the values of the other variable. Select one: True False Question 11 Which of the following is not a property of the linear correlation coefficient r? Select one: a. - 1 ≤ r ≤ 1 b. x and y are interchangeable c. r is a measurement of the strength of a linear relationship d. r is not sensitive to outliers Question 12 If we determine that there is a correlation between poverty rate and crime rate in a city, then we can conclude that the increase in poverty causes people to commit more crime. Select one: True False Question 13 If the regression equation is not a good model, means there is no linear correlation, how can we use a sample to find the predicted value of y? Select one: a. Use the mean of the actual y values b. Use the mode of the actual y values c. Use the median of the actual y values d. We cannot use sample data to make any predictions Question 14 If the absolute value of correlation coefficient |r| is bigger than the critical value, which of the following conclusions is correct? Select one: a. There is no sufficient evidence to support the claim of a linear correlation. b. There is sufficient evidence to support the claim of a linear correlation. c. There may or may not be a linear correlation between the two variables. d. There is sufficient evidence to support the claim of a non-linear correlation. Question 15 When we interpret the determination coefficient r2, we are saying that Select one: a. For each unit increase in x, we will see an increase or decrease in the predicted variable y b. The sample is significantly different from the population c. There is a strong positive or negative relationship between the variables d. Some portion of the dependent variable co-varies with some portion of the independent variable Question 16 Predicted y = 20000 + 650x, where x = years of post-secondary educations and y = starting annual income. How is this regression equation interpreted? Select one: a. For every year increase in income, education increases by $650. b. For every year increase in education, expected starting income increases by $650. c. For every year increase in education, expected starting income decreases by $650. d. If x were equal to zero, income would be predicted to be $650. Question 17 When two variables are not related at all, how would you attach a quantitative measure to that situation? Select one: a. Correlation coefficient r<0 b. Correlation coefficient r≤0 c. Correlation coefficient r=0 d. No quantitative measure exists Question 18 How will you construct a hypothesis test for correlation using r as the test statistic? Select one: a. H0: ρ = 0 (no correlation); Ha: ρ ≠ 0 (there is a correlation) b. H0: r = 0 (no correlation); Ha: r ≠ 0 (there is a correlation) c. H0: ρ≠ 0 (no correlation); Ha: ρ = 0 (there is a correlation) d. H0: ρ≠ 0 (there is a correlation); Ha: ρ = 0 (no correlation) Question 19 The value of determination coefficient r2 indicates the proportion of the variation in y that is explained by the linear relationship between x and y. Select one: True False Question 20 What is a correct conclusion when | r | ≤ critical value? Select one: a. Reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation. b. Fail to reject the null hypothesis and conclude that there is no sufficient evidence to support the claim of a linear correlation. c. Fail to reject the null hypothesis and conclude there is sufficient evidence to support the claim of a linear correlation. d. Reject the null hypothesis and conclude that there is no sufficient evidence to support the claim of a linear correlation.
Business profits 4-5 page, scholarly sources
The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare ...
Business profits 4-5 page, scholarly sources
The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare among four variables:2015 Profit in millions of dollars2016 Profit in millions of dollars2015-2016 Two-Year Change in Daily Average Customer Visits Two-Year Average Number of EmployeesData collected for the sample of 200 businesses is contained in the file named Businesses, linked at the bottom of the page. Use all 200 data points.Managerial ReportPrepare a report (see below) using the numerical methods of descriptive statistics presented in this module to learn how each of the variables contributes to the success of a client business. Be sure to include the following three items in your report.Find descriptive sample statistics (mean, median, two quartiles Q1 and Q3, minimum, maximum, range, sample standard deviation, and coefficient of variation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the client businesses.Compute the percent change in profit from 2015 to 2016 for each business. Then use the z-score to determine which businesses were outliers with respect to percent change in profit.Compute the sample correlation coefficient, showing the relationship between percent change in profit and each of the other two variables (2015-2016 Two-Year Change in Daily Average Customer Visits and Two-Year Average Number of Employees). Explain what the correlation coefficients tell us about the three pairs of relationships. Use tables, charts, or graphs to support your conclusions. Write a report that adheres to the Written Assignment Requirements under the heading “Expectations for CSU-Global Written Assignments” found in the CSU-Global Guide to Writing and APA Requirements. As with all written assignments at CSU-Global, you should have in-text citations and a reference page. An example paper is provided in the MTH410 Guide to Writing with Statistics. (link provided at the bottom of the page)Submit your Excel file in addition to your report.Requirements:Paper must be written in third person.Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU-Global Library is a great place to find resources.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.Document formatting, citations, and style should conform to the CSU-Global Virtual Library CSU-Global Guide to Writing and APA: Introduction. A short summary containing much that you need to know about paper formatting, citations, and references is contained in the New Sample APA Paper. In addition, information in the CSU-Global Virtual Library under the Writing Center/APA Resources tab has many helpful areas (Writing Center, Writing Tips, Template & Examples/Papers & Essays, and others).
8 pages
Data Analysis And Application T Test
The goal of the analysis is to evaluate the correlation or the strength of relationship between the two variables: Gender ...
Data Analysis And Application T Test
The goal of the analysis is to evaluate the correlation or the strength of relationship between the two variables: Gender and GPA. This analysis ...
Negatively skewed distribution
In a negatively skewed distribution, Alisha scored the mean, Ken scored the median, and Catherine scored the mode. Wh ...
Negatively skewed distribution
In a negatively skewed distribution, Alisha scored the mean, Ken scored the median, and Catherine scored the mode. Who had the highest score?
Exchange Paradox, statistics homework help
Rest of the problems are in the attached file. I also attached book.1.(the Exchange Paradox) You’re playing the followin ...
Exchange Paradox, statistics homework help
Rest of the problems are in the attached file. I also attached book.1.(the Exchange Paradox) You’re playing the following game against an opponent,
with a referee also taking part. The referee has two envelopes (numbered 1 and 2 for the sake of
this problem, but when the game is played the envelopes have no markings on them), and (without
you or your opponent seeing what she does) she puts $m in envelope 1 and $2 m in envelope 2 for
some m > 0 (treat m as continuous in this problem even though in practice it would have to be
rounded to the nearest dollar or penny). You and your opponent each get one of the envelopes
at random. You open your envelope secretly and find $x (your opponent also looks secretly in his
envelope), and the referee then asks you if you want to trade envelopes with your opponent. You
reason that if you trade, you will get either $ x
2 or $2 x, each with probability 1
2 . This makes the
expected value of the amount of money you’ll get if you trade equal to
1
2
$x
2
+
1
2
($2 x) = $5x
4 ,
which is greater than the $x you currently have, so you o↵er to trade. The paradox is that your
opponent is capable of making exactly the same calculation. How can the trade be advantageous
for both of you?
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University of Nevada Las Vegas Mathematical Equations Exam Practice
Hello? Can you help me do these 21 questions of math please?You also need to use excel files to finish these questions too ...
University of Nevada Las Vegas Mathematical Equations Exam Practice
Hello? Can you help me do these 21 questions of math please?You also need to use excel files to finish these questions too.You may only use Excel and this Word document.You will put all of your answers and support in THIS Word file. This means do not use the words “look at my Excel file” for the answer. The evaluator will not be looking at your Excel file except in rare circumstances where an answer does not make sense and the Excel file is being used to evaluate partial credit. In other words, “Excel file consulted = less than full points on question.”When asked to put mathematical equations, you may either put in actual mathematical equations or approximate mathematical equations (e.g., B0 or β0 are acceptable)Round all answers to 2 decimal places.Save often. Submitting the correct and completed file is your own responsibility.When you complete your exam submit your Word and Excel documents within the Canvas quizso I will need the excel file tooI attached filesone file is for the paper of questions, the other one is for data
Rasmussen College Scatterplot Statistics Presentation
Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the ...
Rasmussen College Scatterplot Statistics Presentation
Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF). As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work. Concept being Studied Correlation and regression Creating scatterplots Constructing and interpreting a Hypothesis Test for Correlation using r as the test statistic You are given a spreadsheet that contains the following information: Magnitude measured on the Richter scale Depth in km Using the spreadsheet, you will answer the problems below in a PowerPoint presentation. What to Submit The PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above. Slide 1: Title slide Slide 2: Introduce your scenario and data set including the variables provided. Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot. Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values. Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain. Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation. Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units. Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario. Along with your PowerPoint presentation, you should include your Excel document which shows all calculations. Which of the following is not a correct value for a linear correlation coefficient for sample data r? Select one: a. 0.0012 b. 1/7 c. - 0.95 d. 1.0002 A correlation coefficient of -0.95 indicates what kind of relations between the two variables? Select one: a. Strong positive correlation b. Weak negative correlation c. Strong negative correlation d. No correlation Question 3 The relationship between coefficient of correlation and coefficient of determination is that: Select one: a. They are unrelated b. The coefficient of determination is the coefficient of correlation squared c. The coefficient of correlation is the coefficient of determination squared d. They are equal Question 4 When determining whether a correlation exists, it is a good idea to first explore the data by plotting a scatter plot. Select one: True False Question 5 a. The strength of correlation between the dependent and independent variables b. The difference between two variables c. Standard error of estimate d. The percent of variations in the dependent variable explained by the independent variables Question 6 Regression equations are often useful for predicting the value of one variable, given a value of the other variable. Select one: True False Question 7 Which one of the following values is not required to calculate the correlation coefficient r? Select one: a. The number of pairs of sample data n b. The sum of all values of x Σx c. The sum of all values of x2y2 Σx2y2 d. The sum of x multiplied by y Σxy Question 8 The most commonly used formula to describe the linear regression is: Select one: a. b. c. d. Question 9 Which of the following is not a name for the straight line that best fits the scatter plot of paired sample data? Select one: a. Regression line b. Line of best fit c. Scatter line d. Least-squares line Question 10 A correlation exists between two variables only when the values of one variable are very strongly associated with the values of the other variable. Select one: True False Question 11 Which of the following is not a property of the linear correlation coefficient r? Select one: a. - 1 ≤ r ≤ 1 b. x and y are interchangeable c. r is a measurement of the strength of a linear relationship d. r is not sensitive to outliers Question 12 If we determine that there is a correlation between poverty rate and crime rate in a city, then we can conclude that the increase in poverty causes people to commit more crime. Select one: True False Question 13 If the regression equation is not a good model, means there is no linear correlation, how can we use a sample to find the predicted value of y? Select one: a. Use the mean of the actual y values b. Use the mode of the actual y values c. Use the median of the actual y values d. We cannot use sample data to make any predictions Question 14 If the absolute value of correlation coefficient |r| is bigger than the critical value, which of the following conclusions is correct? Select one: a. There is no sufficient evidence to support the claim of a linear correlation. b. There is sufficient evidence to support the claim of a linear correlation. c. There may or may not be a linear correlation between the two variables. d. There is sufficient evidence to support the claim of a non-linear correlation. Question 15 When we interpret the determination coefficient r2, we are saying that Select one: a. For each unit increase in x, we will see an increase or decrease in the predicted variable y b. The sample is significantly different from the population c. There is a strong positive or negative relationship between the variables d. Some portion of the dependent variable co-varies with some portion of the independent variable Question 16 Predicted y = 20000 + 650x, where x = years of post-secondary educations and y = starting annual income. How is this regression equation interpreted? Select one: a. For every year increase in income, education increases by $650. b. For every year increase in education, expected starting income increases by $650. c. For every year increase in education, expected starting income decreases by $650. d. If x were equal to zero, income would be predicted to be $650. Question 17 When two variables are not related at all, how would you attach a quantitative measure to that situation? Select one: a. Correlation coefficient r<0 b. Correlation coefficient r≤0 c. Correlation coefficient r=0 d. No quantitative measure exists Question 18 How will you construct a hypothesis test for correlation using r as the test statistic? Select one: a. H0: ρ = 0 (no correlation); Ha: ρ ≠ 0 (there is a correlation) b. H0: r = 0 (no correlation); Ha: r ≠ 0 (there is a correlation) c. H0: ρ≠ 0 (no correlation); Ha: ρ = 0 (there is a correlation) d. H0: ρ≠ 0 (there is a correlation); Ha: ρ = 0 (no correlation) Question 19 The value of determination coefficient r2 indicates the proportion of the variation in y that is explained by the linear relationship between x and y. Select one: True False Question 20 What is a correct conclusion when | r | ≤ critical value? Select one: a. Reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation. b. Fail to reject the null hypothesis and conclude that there is no sufficient evidence to support the claim of a linear correlation. c. Fail to reject the null hypothesis and conclude there is sufficient evidence to support the claim of a linear correlation. d. Reject the null hypothesis and conclude that there is no sufficient evidence to support the claim of a linear correlation.
Business profits 4-5 page, scholarly sources
The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare ...
Business profits 4-5 page, scholarly sources
The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare among four variables:2015 Profit in millions of dollars2016 Profit in millions of dollars2015-2016 Two-Year Change in Daily Average Customer Visits Two-Year Average Number of EmployeesData collected for the sample of 200 businesses is contained in the file named Businesses, linked at the bottom of the page. Use all 200 data points.Managerial ReportPrepare a report (see below) using the numerical methods of descriptive statistics presented in this module to learn how each of the variables contributes to the success of a client business. Be sure to include the following three items in your report.Find descriptive sample statistics (mean, median, two quartiles Q1 and Q3, minimum, maximum, range, sample standard deviation, and coefficient of variation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the client businesses.Compute the percent change in profit from 2015 to 2016 for each business. Then use the z-score to determine which businesses were outliers with respect to percent change in profit.Compute the sample correlation coefficient, showing the relationship between percent change in profit and each of the other two variables (2015-2016 Two-Year Change in Daily Average Customer Visits and Two-Year Average Number of Employees). Explain what the correlation coefficients tell us about the three pairs of relationships. Use tables, charts, or graphs to support your conclusions. Write a report that adheres to the Written Assignment Requirements under the heading “Expectations for CSU-Global Written Assignments” found in the CSU-Global Guide to Writing and APA Requirements. As with all written assignments at CSU-Global, you should have in-text citations and a reference page. An example paper is provided in the MTH410 Guide to Writing with Statistics. (link provided at the bottom of the page)Submit your Excel file in addition to your report.Requirements:Paper must be written in third person.Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU-Global Library is a great place to find resources.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.Document formatting, citations, and style should conform to the CSU-Global Virtual Library CSU-Global Guide to Writing and APA: Introduction. A short summary containing much that you need to know about paper formatting, citations, and references is contained in the New Sample APA Paper. In addition, information in the CSU-Global Virtual Library under the Writing Center/APA Resources tab has many helpful areas (Writing Center, Writing Tips, Template & Examples/Papers & Essays, and others).
8 pages
Data Analysis And Application T Test
The goal of the analysis is to evaluate the correlation or the strength of relationship between the two variables: Gender ...
Data Analysis And Application T Test
The goal of the analysis is to evaluate the correlation or the strength of relationship between the two variables: Gender and GPA. This analysis ...
Negatively skewed distribution
In a negatively skewed distribution, Alisha scored the mean, Ken scored the median, and Catherine scored the mode. Wh ...
Negatively skewed distribution
In a negatively skewed distribution, Alisha scored the mean, Ken scored the median, and Catherine scored the mode. Who had the highest score?
Exchange Paradox, statistics homework help
Rest of the problems are in the attached file. I also attached book.1.(the Exchange Paradox) You’re playing the followin ...
Exchange Paradox, statistics homework help
Rest of the problems are in the attached file. I also attached book.1.(the Exchange Paradox) You’re playing the following game against an opponent,
with a referee also taking part. The referee has two envelopes (numbered 1 and 2 for the sake of
this problem, but when the game is played the envelopes have no markings on them), and (without
you or your opponent seeing what she does) she puts $m in envelope 1 and $2 m in envelope 2 for
some m > 0 (treat m as continuous in this problem even though in practice it would have to be
rounded to the nearest dollar or penny). You and your opponent each get one of the envelopes
at random. You open your envelope secretly and find $x (your opponent also looks secretly in his
envelope), and the referee then asks you if you want to trade envelopes with your opponent. You
reason that if you trade, you will get either $ x
2 or $2 x, each with probability 1
2 . This makes the
expected value of the amount of money you’ll get if you trade equal to
1
2
$x
2
+
1
2
($2 x) = $5x
4 ,
which is greater than the $x you currently have, so you o↵er to trade. The paradox is that your
opponent is capable of making exactly the same calculation. How can the trade be advantageous
for both of you?
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