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Assignment: SPSS – Analysis of Variance (ANOVA)
In Week 3, you ran the independent-samples t-test to compare the mean of two groups. However, there may be circumstances w ...
Assignment: SPSS – Analysis of Variance (ANOVA)
In Week 3, you ran the independent-samples t-test to compare the mean of two groups. However, there may be circumstances where you need to compare more than two group means. An ANOVA is a statistical method used to compare the means of two or more groups. For example, an IT manager wants to determine whether the mean (average) times required to complete a certain IT task differ based on the three types of employee training. The IT manager randomly selects 10 employees who have undergone the three types of training (three groups). Using an ANOVA, the IT manager could analyze data to verify whether the mean times required to complete the same IT task varies based on the three types of training.
For this Assignment, you will run a one-way ANOVA using the Week 4 Data File for One-way ANOVA.sav data file.
To prepare for this Assignment, review Lesson 25 from the Green and Salkind (2017) text, the Week 4 Assignment Exemplar and Week 4 Assignment Template documents, and the tutorial videos provided in this week’s Resources. Review the Roy and Saha (2016) article. Be sure to review the footnotes in the Week 4 Assignment Exemplar, as they provide additional explanatory information. Consider how you would extend your quantitative research to be appropriate for a one-way ANOVA. Download Week 4 Data File for One-way ANOVA.sav from the weekly resources.
By Day 7
Submit a synthesis of statistical findings derived from ANOVA that follows the Week 4 Assignment Template. Your paper must include the following:
A description and justification for using the one-way ANOVA
A properly formatted research question
A properly formatted H0(null) and H1 (alternate) hypothesis
An APA-formatted “Results” section for the one-way ANOVA
Identification of the statistical test
Identification of independent and dependent variables, including the identification of the number of levels for the independent variable
Identification of data assumptions and assessment outcome
Inferential results in correct APA statistical notation format
A properly formatted box plot
A discussion on how you would extend the one-way ANOVA to a two-way ANOVA using the variables in the Week 4 Data File for One-way ANOVA.sav dataset.
Properly APA-formatted references
Appendix containing SPSS output (see Week 4 Assignment Exemplar)
Note: You will cut and paste the appropriate SPSS output into the Appendix. The SPSS output is not in APA format, so you will need to type the information from the SPSS output to the appropriate sections of the APA table. Be sure to use the Week 4 Assignment Template to complete this Assignment. Also, refer to the Week 4 Assignment Rubric for specific grading elements and criteria. Your Instructor will use this rubric to assess your work.
MT 131 AOU Discrete Mathematics Integers & Encryption Function Worksheet
Q−2: [2+3+3 marks] Find integers and such that .Find the GCD and LCM for the numbers 2772 and 37800.Encrypt the mess ...
MT 131 AOU Discrete Mathematics Integers & Encryption Function Worksheet
Q−2: [2+3+3 marks] Find integers and such that .Find the GCD and LCM for the numbers 2772 and 37800.Encrypt the message “I NEED HELP” by translating the letters into numbers, applying the encryption function ,and then translating the numbers back into letters. Q−3: [4×2] Let and be the functions from to .Find .Is onto? Is g one-to-one? Explain you answer.Check whether exists. If it is so, define . Otherwise, provide a reason for not existence of .Check whether exists. If it is so, define . Otherwise, provide a reason for not existence of . Q−4: [4+4 marks] Of 32 people who save paper or bottles (or both) for recycling, 30 save paper and 14 save bottles. Find the number of people whoStudents need to answer 8 out of 10 questions in biology exam.save bothsave only paper, andsave only bottles.Find the number of the ways a student can choose the 8 questions.In how many ways can a student choose 8 questions if the first three questions are mandatory?In how many ways can a student choose 8 questions if at least 4 of the first 5 questions must be answered? Q−5: [2+3+3 marks] Consider an experiment of rolling two dice, and assume that each simple event in the sample space is as likely as any other find the probability that:A sum of 7 turns up;A sum of 7 or 11 turns up; A sum is greater than
MM 305 Purdue Global University Statistics and Quantitative Analysis Discussion
Visit the dataset link to view the datasets that accompany our textbook. Review the dataset titles and select a data set o ...
MM 305 Purdue Global University Statistics and Quantitative Analysis Discussion
Visit the dataset link to view the datasets that accompany our textbook. Review the dataset titles and select a data set of interest to you. (Note: You may need to use more than one data set to complete this Discussion.) State the dataset that you selected. For each variable in your data, identify it as either qualitative or quantitative. (If your dataset does not have both types of variables, please pick an additional dataset to share at least one qualitative and one quantitative variable.)Select one of your quantitative variables and determine whether it is discrete or continuous. (Please do not select the same variable as a classmate.)For that same variable create a frequency distribution table including frequency, relative frequency and cumulative relative frequency. Copy and paste the table directly into your discussion post or attach it as a separate file.Please let me know if the links don't work so I can get you the datasets needed
Assignment 1: Binary Logistic Regression in SPSS
Please use the following data set (attached) and template (listed below and attached) to conduct the following assignment ...
Assignment 1: Binary Logistic Regression in SPSS
Please use the following data set (attached) and template (listed below and attached) to conduct the following assignment,In this Assignment, you apply what you learned to answer a social research question using logistic regression.To prepareReview the datasets provided.Construct a research question based on one of those datasets.Remember that your dependent variable must be dichotomous.Think about how you might use the odds ratio in your analysis to simplify the interpretation of your results.The AssignmentUse SPSS to answer the research question you constructed. Then, compose a 1- to 2-paragraph analysis in APA format in which you answer the following questions:What is the null hypothesis for your question?What research design(s) would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?How well did the model fit?If you found significance, what is the strength of the effect?What is the answer to your research question?What are the possible implications of social change?Be sure to include your data output with your analysis. See page 1032 in your Warner textbook for an excellent APA-compliant write-up of a binary logistic regression analysis.
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, co ...
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately.In this discussion, you will work with a cars data set that includes two variables:Miles per gallon (coded as mpg in the data set)Weight of the car (coded as wt in the data set)The random sample will be drawn from a CSV file. This data will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.In your initial post, address the following items:You created a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any trend? If yes, is the trend what you expected? Why or why not? See Step 2 in the Python script.What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script.Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model? See Step 4 in the Python script.What is the slope coefficient? Is this coefficient significant at a 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in the Python output.) See Step 4 in the Python script.In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their plots and correlation coefficients compare with yours?Would you recommend this regression model to the car rental company? Why or why not?Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.PART 2 For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.1.Python Script: To complete the tasks listed below, open the Project Two Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:oHypothesis tests for a population parameter§Hypothesis tests for a population mean§Hypothesis test for a population proportionoHypothesis test for the difference between two population parameters§Hypothesis test for difference between two population means2.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:oIntroduction: Set the context for your scenario and the analyses you will be performing.oHypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.oHypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.oHypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.oConclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Python ScriptYour Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.Summary ReportUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.
4 pages
Statistics
Upon understanding correlation, we realize that it entails a single numerical value that defines the relationship between ...
Statistics
Upon understanding correlation, we realize that it entails a single numerical value that defines the relationship between two different values. ...
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Assignment: SPSS – Analysis of Variance (ANOVA)
In Week 3, you ran the independent-samples t-test to compare the mean of two groups. However, there may be circumstances w ...
Assignment: SPSS – Analysis of Variance (ANOVA)
In Week 3, you ran the independent-samples t-test to compare the mean of two groups. However, there may be circumstances where you need to compare more than two group means. An ANOVA is a statistical method used to compare the means of two or more groups. For example, an IT manager wants to determine whether the mean (average) times required to complete a certain IT task differ based on the three types of employee training. The IT manager randomly selects 10 employees who have undergone the three types of training (three groups). Using an ANOVA, the IT manager could analyze data to verify whether the mean times required to complete the same IT task varies based on the three types of training.
For this Assignment, you will run a one-way ANOVA using the Week 4 Data File for One-way ANOVA.sav data file.
To prepare for this Assignment, review Lesson 25 from the Green and Salkind (2017) text, the Week 4 Assignment Exemplar and Week 4 Assignment Template documents, and the tutorial videos provided in this week’s Resources. Review the Roy and Saha (2016) article. Be sure to review the footnotes in the Week 4 Assignment Exemplar, as they provide additional explanatory information. Consider how you would extend your quantitative research to be appropriate for a one-way ANOVA. Download Week 4 Data File for One-way ANOVA.sav from the weekly resources.
By Day 7
Submit a synthesis of statistical findings derived from ANOVA that follows the Week 4 Assignment Template. Your paper must include the following:
A description and justification for using the one-way ANOVA
A properly formatted research question
A properly formatted H0(null) and H1 (alternate) hypothesis
An APA-formatted “Results” section for the one-way ANOVA
Identification of the statistical test
Identification of independent and dependent variables, including the identification of the number of levels for the independent variable
Identification of data assumptions and assessment outcome
Inferential results in correct APA statistical notation format
A properly formatted box plot
A discussion on how you would extend the one-way ANOVA to a two-way ANOVA using the variables in the Week 4 Data File for One-way ANOVA.sav dataset.
Properly APA-formatted references
Appendix containing SPSS output (see Week 4 Assignment Exemplar)
Note: You will cut and paste the appropriate SPSS output into the Appendix. The SPSS output is not in APA format, so you will need to type the information from the SPSS output to the appropriate sections of the APA table. Be sure to use the Week 4 Assignment Template to complete this Assignment. Also, refer to the Week 4 Assignment Rubric for specific grading elements and criteria. Your Instructor will use this rubric to assess your work.
MT 131 AOU Discrete Mathematics Integers & Encryption Function Worksheet
Q−2: [2+3+3 marks] Find integers and such that .Find the GCD and LCM for the numbers 2772 and 37800.Encrypt the mess ...
MT 131 AOU Discrete Mathematics Integers & Encryption Function Worksheet
Q−2: [2+3+3 marks] Find integers and such that .Find the GCD and LCM for the numbers 2772 and 37800.Encrypt the message “I NEED HELP” by translating the letters into numbers, applying the encryption function ,and then translating the numbers back into letters. Q−3: [4×2] Let and be the functions from to .Find .Is onto? Is g one-to-one? Explain you answer.Check whether exists. If it is so, define . Otherwise, provide a reason for not existence of .Check whether exists. If it is so, define . Otherwise, provide a reason for not existence of . Q−4: [4+4 marks] Of 32 people who save paper or bottles (or both) for recycling, 30 save paper and 14 save bottles. Find the number of people whoStudents need to answer 8 out of 10 questions in biology exam.save bothsave only paper, andsave only bottles.Find the number of the ways a student can choose the 8 questions.In how many ways can a student choose 8 questions if the first three questions are mandatory?In how many ways can a student choose 8 questions if at least 4 of the first 5 questions must be answered? Q−5: [2+3+3 marks] Consider an experiment of rolling two dice, and assume that each simple event in the sample space is as likely as any other find the probability that:A sum of 7 turns up;A sum of 7 or 11 turns up; A sum is greater than
MM 305 Purdue Global University Statistics and Quantitative Analysis Discussion
Visit the dataset link to view the datasets that accompany our textbook. Review the dataset titles and select a data set o ...
MM 305 Purdue Global University Statistics and Quantitative Analysis Discussion
Visit the dataset link to view the datasets that accompany our textbook. Review the dataset titles and select a data set of interest to you. (Note: You may need to use more than one data set to complete this Discussion.) State the dataset that you selected. For each variable in your data, identify it as either qualitative or quantitative. (If your dataset does not have both types of variables, please pick an additional dataset to share at least one qualitative and one quantitative variable.)Select one of your quantitative variables and determine whether it is discrete or continuous. (Please do not select the same variable as a classmate.)For that same variable create a frequency distribution table including frequency, relative frequency and cumulative relative frequency. Copy and paste the table directly into your discussion post or attach it as a separate file.Please let me know if the links don't work so I can get you the datasets needed
Assignment 1: Binary Logistic Regression in SPSS
Please use the following data set (attached) and template (listed below and attached) to conduct the following assignment ...
Assignment 1: Binary Logistic Regression in SPSS
Please use the following data set (attached) and template (listed below and attached) to conduct the following assignment,In this Assignment, you apply what you learned to answer a social research question using logistic regression.To prepareReview the datasets provided.Construct a research question based on one of those datasets.Remember that your dependent variable must be dichotomous.Think about how you might use the odds ratio in your analysis to simplify the interpretation of your results.The AssignmentUse SPSS to answer the research question you constructed. Then, compose a 1- to 2-paragraph analysis in APA format in which you answer the following questions:What is the null hypothesis for your question?What research design(s) would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?How well did the model fit?If you found significance, what is the strength of the effect?What is the answer to your research question?What are the possible implications of social change?Be sure to include your data output with your analysis. See page 1032 in your Warner textbook for an excellent APA-compliant write-up of a binary logistic regression analysis.
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, co ...
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately.In this discussion, you will work with a cars data set that includes two variables:Miles per gallon (coded as mpg in the data set)Weight of the car (coded as wt in the data set)The random sample will be drawn from a CSV file. This data will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.In your initial post, address the following items:You created a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any trend? If yes, is the trend what you expected? Why or why not? See Step 2 in the Python script.What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script.Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model? See Step 4 in the Python script.What is the slope coefficient? Is this coefficient significant at a 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in the Python output.) See Step 4 in the Python script.In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their plots and correlation coefficients compare with yours?Would you recommend this regression model to the car rental company? Why or why not?Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.PART 2 For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.1.Python Script: To complete the tasks listed below, open the Project Two Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:oHypothesis tests for a population parameter§Hypothesis tests for a population mean§Hypothesis test for a population proportionoHypothesis test for the difference between two population parameters§Hypothesis test for difference between two population means2.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:oIntroduction: Set the context for your scenario and the analyses you will be performing.oHypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.oHypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.oHypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.oConclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Python ScriptYour Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.Summary ReportUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.
4 pages
Statistics
Upon understanding correlation, we realize that it entails a single numerical value that defines the relationship between ...
Statistics
Upon understanding correlation, we realize that it entails a single numerical value that defines the relationship between two different values. ...
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