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Module 5 SPSS Data Interpretation, assignment help
Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this as ...
Module 5 SPSS Data Interpretation, assignment help
Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this assignment, you will review the SPSS output for an ANOVA and use it to answer questions about the means of the groups.General Requirements: Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download “SPSS Data Set Legend" for use with this assignment.Download "Module 5 SPSS Output" for use with this assignment.Directions:Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file:Looking at the descriptives (first information), do you see differences in the mean alcohol contents for the three levels of quality? Explain.Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to proceed with the ANOVA? Is the assumption met, or violated? How do you know?Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______.The pairwise post hoc tests indicate which quality groups' means are statistically significantly different for the others. Using the results of the Tukey HSD post hoc test, what two quality rating groups had significantly different mean alcohol by volume levels? How do you know?Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.
Ashford University Diane Vaughan Theory of Normalization of Deviance Discussion
Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and economics (17th ed.). Retrieve ...
Ashford University Diane Vaughan Theory of Normalization of Deviance Discussion
Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and economics (17th ed.). Retrieved from http://connect.mheducation.com/class/
50 pages
20200806214710stats Answers Final
The National Institute of Health randomly selected 520 individuals who gave blood during the month of May in order to dete ...
20200806214710stats Answers Final
The National Institute of Health randomly selected 520 individuals who gave blood during the month of May in order to determine their blood types. The ...
statistics
Week 3 Project - STAT 3001 Student Name: <Type your name here> Date:<Enter the date on which you began workin ...
statistics
Week 3 Project - STAT 3001 Student Name: <Type your name here> Date:<Enter the date on which you began working on this assignment.> Instructions:To complete this project, you will need the following materials: STAT DISK User Manual (found in the classroom in Doc Sharing)Access to the Internet to download the STATDISK program. Part I.Analyze Data Instructions Answers Open the file Car Measurements using menu option Datasets and then Elementary Stats, 13th Edition.This file contains information on a number of measurements related to cars. How many observations are there in this file? 2-5 Analyze the data in this file and complete the following table, indicating for each variable what type of data it represents. Variable Qualitative/ Quantitative Discrete/ Continuous/ Neither Level of Measurement Size Braking (distance) City (MPG) Car 6. Would you consider this data to represent a sample or a population? Why? Part II. ScatterPlots 7. Create a scatterplot for the data in the Length (inches) and Braking distance (feet) columns.Paste it here.You may need to resize the plot once it is in this file. 8. Explain the visual relationship between Length and Braking distance. 9. Create a scatterplot for the data in Displacement (liters) and Highway (MPG) columns. Paste it here. You may need to resize the plot once it is in this file. 10. Explain the visual relationship between Displacement and Highway MPG. Part III.Correlation 11.Using Stat Disk, calculate the linear correlation between the data in the Length and Braking distance columns. List the steps used for the calculation and give the resulting correlation coefficient. 12.Explain the mathematical relationship between Length and Braking distance based on the linear correlation coefficient.Be certain to include comments about the magnitude and the direction of the correlation. 13.List the sample size and the degrees of freedom for this computation. 14.Using Stat Disk, calculate the linear correlation coefficient between the data in the Displacement and Highway MPG columns. 15.Compare and contrast these two relationships: Length and Braking distance Displacement and Highway MPG How are they similar? How are they different? [Hint: Read Page 290 “Types of Correlation”] Part IV.Simple Regression Let’s say that we wanted to be able to predict the city MPG of a car based on its Weight in pounds. Using this sample data, perform a simple-linear regression to determine the line-of-best fit. Use the Weight as your x (independent) variable and City MPG as your y (response) variable. Use 3 places after the decimal in your answer. Refer to page 13 in the Stat Disk User’s Manual. 16. Paste your results here: Answer the following questions related to this simple regression 17. What is the equation of the line-of-best fit?Insert the values for bo and b1 from above into y = bo + b1x. 18. What is the slope of the line?What does it tell you about the relationship between the Weight and City MPG data? Be sure to specify the proper units. 19.What is the y-intercept of the line?What does it tell you about the relationship between Weight and City MPG? 20. Using the regression equation, what would you predict for the City MPG of a car weighing 2250 pounds? Show your calculation and round to the nearest tenth. 21. Using the regression equation, let’s say you have a car with a City MPG of 29, what would the car weigh? Round to the nearest whole number. 22. Find the coefficient of determination (R2 value) for this data.What does this tell you about this relationship? [Hint:see definition on Page 311.] Part V.Multiple Regression Let’s say that we wanted to be able to predict the Highway MPG of a car based on DisplacementLengthBraking Using this sample data, perform a multiple-regression using Displacement, Length, Braking distance with Highway MPG as the dependent variable. Refer to page 14 in the Stat Disk User’s Manual. 23. Paste your results here: 24. What is the equation of the line-of-best fit?The form of the equation is Y = bo + b1X1 + b2X2 + b3X3 (fill in values for b0, b1, b2, and b3). [Round coefficients to 2 decimal places.] 25. Using the multiple regression equation, what would you predict for the Highway MPG of a car whose Length in inches is 184Braking distance in feet is 139Displacement in liters is 2.2 Round to the nearest tenth. 26. What is the R2 value for this regression?What does it tell you about the regression? Submit your final draft of your Word file by going to Week 3, Project, and follow the directions under Week 3 Assignment 2.Please use the naming convention "WK3Assgn2+first initial+last name" as the Submission Title.
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Module 5 SPSS Data Interpretation, assignment help
Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this as ...
Module 5 SPSS Data Interpretation, assignment help
Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this assignment, you will review the SPSS output for an ANOVA and use it to answer questions about the means of the groups.General Requirements: Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download “SPSS Data Set Legend" for use with this assignment.Download "Module 5 SPSS Output" for use with this assignment.Directions:Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file:Looking at the descriptives (first information), do you see differences in the mean alcohol contents for the three levels of quality? Explain.Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to proceed with the ANOVA? Is the assumption met, or violated? How do you know?Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______.The pairwise post hoc tests indicate which quality groups' means are statistically significantly different for the others. Using the results of the Tukey HSD post hoc test, what two quality rating groups had significantly different mean alcohol by volume levels? How do you know?Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.
Ashford University Diane Vaughan Theory of Normalization of Deviance Discussion
Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and economics (17th ed.). Retrieve ...
Ashford University Diane Vaughan Theory of Normalization of Deviance Discussion
Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical techniques in business and economics (17th ed.). Retrieved from http://connect.mheducation.com/class/
50 pages
20200806214710stats Answers Final
The National Institute of Health randomly selected 520 individuals who gave blood during the month of May in order to dete ...
20200806214710stats Answers Final
The National Institute of Health randomly selected 520 individuals who gave blood during the month of May in order to determine their blood types. The ...
statistics
Week 3 Project - STAT 3001 Student Name: <Type your name here> Date:<Enter the date on which you began workin ...
statistics
Week 3 Project - STAT 3001 Student Name: <Type your name here> Date:<Enter the date on which you began working on this assignment.> Instructions:To complete this project, you will need the following materials: STAT DISK User Manual (found in the classroom in Doc Sharing)Access to the Internet to download the STATDISK program. Part I.Analyze Data Instructions Answers Open the file Car Measurements using menu option Datasets and then Elementary Stats, 13th Edition.This file contains information on a number of measurements related to cars. How many observations are there in this file? 2-5 Analyze the data in this file and complete the following table, indicating for each variable what type of data it represents. Variable Qualitative/ Quantitative Discrete/ Continuous/ Neither Level of Measurement Size Braking (distance) City (MPG) Car 6. Would you consider this data to represent a sample or a population? Why? Part II. ScatterPlots 7. Create a scatterplot for the data in the Length (inches) and Braking distance (feet) columns.Paste it here.You may need to resize the plot once it is in this file. 8. Explain the visual relationship between Length and Braking distance. 9. Create a scatterplot for the data in Displacement (liters) and Highway (MPG) columns. Paste it here. You may need to resize the plot once it is in this file. 10. Explain the visual relationship between Displacement and Highway MPG. Part III.Correlation 11.Using Stat Disk, calculate the linear correlation between the data in the Length and Braking distance columns. List the steps used for the calculation and give the resulting correlation coefficient. 12.Explain the mathematical relationship between Length and Braking distance based on the linear correlation coefficient.Be certain to include comments about the magnitude and the direction of the correlation. 13.List the sample size and the degrees of freedom for this computation. 14.Using Stat Disk, calculate the linear correlation coefficient between the data in the Displacement and Highway MPG columns. 15.Compare and contrast these two relationships: Length and Braking distance Displacement and Highway MPG How are they similar? How are they different? [Hint: Read Page 290 “Types of Correlation”] Part IV.Simple Regression Let’s say that we wanted to be able to predict the city MPG of a car based on its Weight in pounds. Using this sample data, perform a simple-linear regression to determine the line-of-best fit. Use the Weight as your x (independent) variable and City MPG as your y (response) variable. Use 3 places after the decimal in your answer. Refer to page 13 in the Stat Disk User’s Manual. 16. Paste your results here: Answer the following questions related to this simple regression 17. What is the equation of the line-of-best fit?Insert the values for bo and b1 from above into y = bo + b1x. 18. What is the slope of the line?What does it tell you about the relationship between the Weight and City MPG data? Be sure to specify the proper units. 19.What is the y-intercept of the line?What does it tell you about the relationship between Weight and City MPG? 20. Using the regression equation, what would you predict for the City MPG of a car weighing 2250 pounds? Show your calculation and round to the nearest tenth. 21. Using the regression equation, let’s say you have a car with a City MPG of 29, what would the car weigh? Round to the nearest whole number. 22. Find the coefficient of determination (R2 value) for this data.What does this tell you about this relationship? [Hint:see definition on Page 311.] Part V.Multiple Regression Let’s say that we wanted to be able to predict the Highway MPG of a car based on DisplacementLengthBraking Using this sample data, perform a multiple-regression using Displacement, Length, Braking distance with Highway MPG as the dependent variable. Refer to page 14 in the Stat Disk User’s Manual. 23. Paste your results here: 24. What is the equation of the line-of-best fit?The form of the equation is Y = bo + b1X1 + b2X2 + b3X3 (fill in values for b0, b1, b2, and b3). [Round coefficients to 2 decimal places.] 25. Using the multiple regression equation, what would you predict for the Highway MPG of a car whose Length in inches is 184Braking distance in feet is 139Displacement in liters is 2.2 Round to the nearest tenth. 26. What is the R2 value for this regression?What does it tell you about the regression? Submit your final draft of your Word file by going to Week 3, Project, and follow the directions under Week 3 Assignment 2.Please use the naming convention "WK3Assgn2+first initial+last name" as the Submission Title.
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