Description
Unformatted Attachment Preview
(1 p Explain in words what the integral represents and give units:
f* )
a(t)dt, where a(t) is the acceleration in km/hr’ and t is time in hours.
(a) What does the integral represent?
A. The velocity reached at hour 6.
B. The change in acceleration from hour to hour 6.
C. The position reached at hour 6.
D. The change in position from hour to hour 6.
E. The change in velocity from hour to hour 6.
F. None of the above.
(b) What are the units of the integral?
A. km/hr?
B, km/hr
c. km
D. km hr
E. None of the above.
Purchase answer to see full attachment
Purchase answer to see full attachment
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
Review
Review
Anonymous
Great study resource, helped me a lot.
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
Discussion: Correlation
Question 8 APick any two variables that you feel may be related and estimate what you think the strength of the correlatio ...
Discussion: Correlation
Question 8 APick any two variables that you feel may be related and estimate what you think the strength of the correlation coefficient would be for those two variables. In your response, estimate the value of r. For example, specify a strong (.7 to .9), medium (.4 to .6), or low (0 to .3) value for r. The value of the coefficient can be positive or negative. For example, consider an increase in police patrols in a neighborhood and the number of burglaries that occur in that neighborhood. I would say that would be a strong inverse relationship with an r-value of -0.8; as one (patrols) increases, the other (burglary rate) goes down. Describe the factors that you think would contribute to why the variables would have the relationship that you estimate it to be.Question 8 BNow that you have completed this course in Statistics, please describe a concept covered in the course that you feel might be of assistance to you now or in the future. For example, using charts and graphs to graphically describe data at your job, or using one of the sampling methods discussed at the beginning of the course to generate sample data. Please be specific in explaining how you would use what you have learned in class to your benefit.
SPSS, histogram, descriptive
PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICSYour first IBM SSPS assessment includes two sections:Create two histograms an ...
SPSS, histogram, descriptive
PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICSYour first IBM SSPS assessment includes two sections:Create two histograms and provide interpretations.Calculate measures of central tendency and dispersion and provide interpretations.Key Details and InstructionsSubmit your assessment as an attached Word document.Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See theCopy/Export Output Instructions in the Resources for instructions on how to do this).Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.For additional help in completing this assessment, refer to the IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics document, linked in the Required Resources.Section 1: Histograms and Visual InterpretationSection 1 will include one histogram of "total" scores for all the males in the data set, and one histogram of "total" scores for all the females in the data set.Create two histograms using the totaland gendervariables in your grades.savdata set:A histogram for male students.A histogram for female students.Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:Skew.Kurtosis.Outlier.Symmetry.Modality.Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.Section 2: Calculate and Interpret Measures of Central Tendency and DispersionUsing the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness, and kurtosisfor the following variables:id.gender.ethnicity.gpa.quiz3.total.Below the Descriptives table, complete the following:Indicate which variable(s) are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.Next, indicate which variable(s) are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.Specify any variables that are acceptable but not excellent.Specify any variables that are unacceptable. Explain your decisions.For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).PART 2: DATA SCREENINGFor this part of the assessment, respond to the following questions:What are the goals of data screening? How can you identify and remedy the following?Errors in data entry.Outliers.Missing data.PART 3: Z-SCORES, TYPE I AND II ERROR, NULL HYPOTHESIS TESTINGThis IBM SPSS assessment includes three sections:Generate z-scores for a variable in grades.sav and report/interpret them.Analyze cases of Type I and Type II error.Analyze cases to either reject or not reject a null hypothesis.The format of this assessment should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document). See the Copy/Export Output Instructionsfor instructions on how to do this.Download the z-Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:Section 1: z-Scores in SPSS.Section 2: Case Studies of Type I and Type II Error.Section 3: Case Studies of Null Hypothesis Testing.ReferenceGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate z-scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several course files to complete this assessment.By successfully completing this assignment, you will demonstrate your proficiency in the following areas:Analyze the computation, application, strengths and limitations of various statistical tests.Analyze the strengths and limitations of examining a distribution of scores with a histogram.Analyze the relevant data from the computation, interpretation, and application of z-scores.Analyze real-world application of Type I and Type II errors, and the research decisions that influence the relative risk of each.Analyze the decision-making process of data analysis.Analyze meaningful versus meaningless variables reported in descriptive statistics.Apply the logic of null hypothesis testing to cases.Interpret the results of statistical analyses.Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.Interpret descriptive statistics for meaningful variables.Apply a statistical program's procedure to data.Apply the appropriate SPSS procedures for creating histograms to generate relevant output.Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.Communicate in a manner that is scholarly, professional and consistent with expectations for members of the identified field of study.IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.) but it must be version 22 or higher. Be sure to use the version that is compatible with your operating system (PC or Mac).SUGGESTED RESOURCESThe resources provided here are optional. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid.ResourcesGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Internet ResourcesLane, D. M. (2013). HyperStat online: An introductory statistics textbook and online tutorial for help in statistics courses. Retrieved from http://davidmlane.com/hyperstatStatSoft, Inc. (2013). Electronic statistics textbook. Tulsa, OK: StatSoft. Retrieved fromhttp://www.statsoft.com/textbookSophia. (2014). Retrieved from http://www.sophia.org/Browse Sophia for tutorials that explore statistical topics.StatisticsLectures.com. (2012). Free statistics lectures. Retrieved fromhttp://statisticslectures.com/Khan Academy. (2013). Retrieved from https://www.khanacademy.orgThis Web site offers resources covering a range of subjects, including statisticsHall, R. (1998). Between subjects one-way ANOVA example. Psychology World. Retrieved from http://web.mst.edu/~psyworld/anovaexample.htmElliot, A. C. (2012). ANOVA using Microsoft Excel: One-way analysis of variance. Excel Tutorials for Statistical Data Analysis. Retrieved fromhttp://www.stattutorials.com/EXCEL/EXCEL_ANOVA.htm...Onwuegbuzie, T. (Producer). (2009). Mixed methods research[Video] | Transcript. Available from http://videolectures.net/ssmt09_onwuegbuzie_mmrPREPARATIONThis assessment has three parts, each of which is described below. Submit all three parts as Word documents.Note:All the course documents you will need for the assignment are attached.This assessment uses the grades.savfile. The grades.savfile is a sample SPSS data set that is converted from the grades2.datfile. (Use the Data Set Instructionsto convert thegrades2.datfile to the grades.savfile that you will use throughout this course.)The fictional data in the grades.savfile represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).There are 21 variables in grades.sav. To prepare for this assessment, complete the following:Open your grades.sav file and navigate to the "Variable View" tab.Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.
Milestone Three Draft of Recommendations
Overview: This assignment represents the last draft assignment before submitting your final project in Module Nine. Once y ...
Milestone Three Draft of Recommendations
Overview: This assignment represents the last draft assignment before submitting your final project in Module Nine. Once you review the data set below, refer to
the assignment guidelines below. Once you submit your milestone upload your draft to the Module Four 8-1 Discussion: Draft of Recommendations for peer
feedback in the next module.
Pre-Assignment: The following data set will be needed to complete this assignment:
Empirical Data
Assignment Guidelines
Make recommendations for continuous program improvement based upon the empirical data analysis.
Analyze the program for indicators that necessitate changes in program process or procedures. Was the goal met or exceeded? If not, what activities
should be performed to help identify issues/problems? What other information would be helpful in analyzing the indicators?
Recommend actions or strategies for continuous program improvement, based upon the empirical data analysis. What continuous improvement
strategies can be implemented short-term? What continuous improvement strategies will require additional time, resources, and support? What other
information would be helpful in making these recommendations?
Guidelines for Submission: Your paper must be submitted as a Microsoft Word document with double spacing, 12-point Times New Roman font, and one-inch
margins. Your submission must contain graphs as appropriate for presentation materials. Completion of this draft and the peer review in Module Eight will inform your final project submission.
1-1 Discussion: Applications of Probability
A professor states that in the United States the proportion of college students who own iPhones is .66. She then splits th ...
1-1 Discussion: Applications of Probability
A professor states that in the United States the proportion of college students who own iPhones is .66. She then splits the class into two groups: Group 1 with students whose last name begins with A-K and Group 2 with students whose last name begins with L-Z. She then asks each group to count how many in that group own iPhones and to calculate the group proportion of iPhone ownership. For Group 1 the proportion is p1 and for Group 2 the proportion is p2. To calculate the proportion you take the number of iPhone owners and divide by the total number of students in the group. You will get a number between 0 and 1.
What would you expect p1 and p2 to be?
Do you expect either of these proportions to be vastly different from the population proportion of .66?
Would you be surprised if p1 was different than p2?
Would you be surprised if they were the same or similar?
What statistical concept describes the relationship between the first letter of someone's last name and whether or not they own an iPhone?
Similar Content
Binghamton University Business Statistic Multivitamin Supplement Question
to write the process of the question and give it to me, this is a statistic for business and econ question....
California State Polytechnic University Intuitive and Physical Approach Question
If f(x)=x^2+5x+9, find f'(x). ...
calculus 1 problems world math problems
I uploaded the problemscalculus test need to be solvedit is a sample test I need you to solve the problems and also write ...
Related Tags
Book Guides
Where'd You Go Bernadette
by Maria Semple
The Age Of Light
by Whitney Scharer
Pachinko
by Min Jin Lee
The Turn of the Screw
by Henry James
2001 A Space Odyssey
by Arthur Clarke
100 Side Hustles
by Chris Guillebeau
The Secret Garden
by Frances Hodgson Burnett
Black Beauty
by Anna Sewell
The Joy Luck Club
by Amy Tan
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Discussion: Correlation
Question 8 APick any two variables that you feel may be related and estimate what you think the strength of the correlatio ...
Discussion: Correlation
Question 8 APick any two variables that you feel may be related and estimate what you think the strength of the correlation coefficient would be for those two variables. In your response, estimate the value of r. For example, specify a strong (.7 to .9), medium (.4 to .6), or low (0 to .3) value for r. The value of the coefficient can be positive or negative. For example, consider an increase in police patrols in a neighborhood and the number of burglaries that occur in that neighborhood. I would say that would be a strong inverse relationship with an r-value of -0.8; as one (patrols) increases, the other (burglary rate) goes down. Describe the factors that you think would contribute to why the variables would have the relationship that you estimate it to be.Question 8 BNow that you have completed this course in Statistics, please describe a concept covered in the course that you feel might be of assistance to you now or in the future. For example, using charts and graphs to graphically describe data at your job, or using one of the sampling methods discussed at the beginning of the course to generate sample data. Please be specific in explaining how you would use what you have learned in class to your benefit.
SPSS, histogram, descriptive
PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICSYour first IBM SSPS assessment includes two sections:Create two histograms an ...
SPSS, histogram, descriptive
PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICSYour first IBM SSPS assessment includes two sections:Create two histograms and provide interpretations.Calculate measures of central tendency and dispersion and provide interpretations.Key Details and InstructionsSubmit your assessment as an attached Word document.Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See theCopy/Export Output Instructions in the Resources for instructions on how to do this).Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.For additional help in completing this assessment, refer to the IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics document, linked in the Required Resources.Section 1: Histograms and Visual InterpretationSection 1 will include one histogram of "total" scores for all the males in the data set, and one histogram of "total" scores for all the females in the data set.Create two histograms using the totaland gendervariables in your grades.savdata set:A histogram for male students.A histogram for female students.Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:Skew.Kurtosis.Outlier.Symmetry.Modality.Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.Section 2: Calculate and Interpret Measures of Central Tendency and DispersionUsing the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness, and kurtosisfor the following variables:id.gender.ethnicity.gpa.quiz3.total.Below the Descriptives table, complete the following:Indicate which variable(s) are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.Next, indicate which variable(s) are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.Specify any variables that are acceptable but not excellent.Specify any variables that are unacceptable. Explain your decisions.For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).PART 2: DATA SCREENINGFor this part of the assessment, respond to the following questions:What are the goals of data screening? How can you identify and remedy the following?Errors in data entry.Outliers.Missing data.PART 3: Z-SCORES, TYPE I AND II ERROR, NULL HYPOTHESIS TESTINGThis IBM SPSS assessment includes three sections:Generate z-scores for a variable in grades.sav and report/interpret them.Analyze cases of Type I and Type II error.Analyze cases to either reject or not reject a null hypothesis.The format of this assessment should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document). See the Copy/Export Output Instructionsfor instructions on how to do this.Download the z-Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:Section 1: z-Scores in SPSS.Section 2: Case Studies of Type I and Type II Error.Section 3: Case Studies of Null Hypothesis Testing.ReferenceGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate z-scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several course files to complete this assessment.By successfully completing this assignment, you will demonstrate your proficiency in the following areas:Analyze the computation, application, strengths and limitations of various statistical tests.Analyze the strengths and limitations of examining a distribution of scores with a histogram.Analyze the relevant data from the computation, interpretation, and application of z-scores.Analyze real-world application of Type I and Type II errors, and the research decisions that influence the relative risk of each.Analyze the decision-making process of data analysis.Analyze meaningful versus meaningless variables reported in descriptive statistics.Apply the logic of null hypothesis testing to cases.Interpret the results of statistical analyses.Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.Interpret descriptive statistics for meaningful variables.Apply a statistical program's procedure to data.Apply the appropriate SPSS procedures for creating histograms to generate relevant output.Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.Communicate in a manner that is scholarly, professional and consistent with expectations for members of the identified field of study.IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.) but it must be version 22 or higher. Be sure to use the version that is compatible with your operating system (PC or Mac).SUGGESTED RESOURCESThe resources provided here are optional. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid.ResourcesGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Internet ResourcesLane, D. M. (2013). HyperStat online: An introductory statistics textbook and online tutorial for help in statistics courses. Retrieved from http://davidmlane.com/hyperstatStatSoft, Inc. (2013). Electronic statistics textbook. Tulsa, OK: StatSoft. Retrieved fromhttp://www.statsoft.com/textbookSophia. (2014). Retrieved from http://www.sophia.org/Browse Sophia for tutorials that explore statistical topics.StatisticsLectures.com. (2012). Free statistics lectures. Retrieved fromhttp://statisticslectures.com/Khan Academy. (2013). Retrieved from https://www.khanacademy.orgThis Web site offers resources covering a range of subjects, including statisticsHall, R. (1998). Between subjects one-way ANOVA example. Psychology World. Retrieved from http://web.mst.edu/~psyworld/anovaexample.htmElliot, A. C. (2012). ANOVA using Microsoft Excel: One-way analysis of variance. Excel Tutorials for Statistical Data Analysis. Retrieved fromhttp://www.stattutorials.com/EXCEL/EXCEL_ANOVA.htm...Onwuegbuzie, T. (Producer). (2009). Mixed methods research[Video] | Transcript. Available from http://videolectures.net/ssmt09_onwuegbuzie_mmrPREPARATIONThis assessment has three parts, each of which is described below. Submit all three parts as Word documents.Note:All the course documents you will need for the assignment are attached.This assessment uses the grades.savfile. The grades.savfile is a sample SPSS data set that is converted from the grades2.datfile. (Use the Data Set Instructionsto convert thegrades2.datfile to the grades.savfile that you will use throughout this course.)The fictional data in the grades.savfile represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).There are 21 variables in grades.sav. To prepare for this assessment, complete the following:Open your grades.sav file and navigate to the "Variable View" tab.Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.
Milestone Three Draft of Recommendations
Overview: This assignment represents the last draft assignment before submitting your final project in Module Nine. Once y ...
Milestone Three Draft of Recommendations
Overview: This assignment represents the last draft assignment before submitting your final project in Module Nine. Once you review the data set below, refer to
the assignment guidelines below. Once you submit your milestone upload your draft to the Module Four 8-1 Discussion: Draft of Recommendations for peer
feedback in the next module.
Pre-Assignment: The following data set will be needed to complete this assignment:
Empirical Data
Assignment Guidelines
Make recommendations for continuous program improvement based upon the empirical data analysis.
Analyze the program for indicators that necessitate changes in program process or procedures. Was the goal met or exceeded? If not, what activities
should be performed to help identify issues/problems? What other information would be helpful in analyzing the indicators?
Recommend actions or strategies for continuous program improvement, based upon the empirical data analysis. What continuous improvement
strategies can be implemented short-term? What continuous improvement strategies will require additional time, resources, and support? What other
information would be helpful in making these recommendations?
Guidelines for Submission: Your paper must be submitted as a Microsoft Word document with double spacing, 12-point Times New Roman font, and one-inch
margins. Your submission must contain graphs as appropriate for presentation materials. Completion of this draft and the peer review in Module Eight will inform your final project submission.
1-1 Discussion: Applications of Probability
A professor states that in the United States the proportion of college students who own iPhones is .66. She then splits th ...
1-1 Discussion: Applications of Probability
A professor states that in the United States the proportion of college students who own iPhones is .66. She then splits the class into two groups: Group 1 with students whose last name begins with A-K and Group 2 with students whose last name begins with L-Z. She then asks each group to count how many in that group own iPhones and to calculate the group proportion of iPhone ownership. For Group 1 the proportion is p1 and for Group 2 the proportion is p2. To calculate the proportion you take the number of iPhone owners and divide by the total number of students in the group. You will get a number between 0 and 1.
What would you expect p1 and p2 to be?
Do you expect either of these proportions to be vastly different from the population proportion of .66?
Would you be surprised if p1 was different than p2?
Would you be surprised if they were the same or similar?
What statistical concept describes the relationship between the first letter of someone's last name and whether or not they own an iPhone?
Earn money selling
your Study Documents