The final submission can either be in Excel or in this MS Word file or with both; your answers should be based analyzing the MS Excel file Happiness_2011.xls on the Happiness Survey under Exam 4; MS Excel file is organized with multiple datasheet for you

statistics

Description

EXAM #4                                                     NAME_______________________________

BUS500C                                                    GRADES _____________________________

                                   

Warning: While it is an open book, please work on the exam by yourself and do not communicate with anyone about the exam.

 

Instruction: The final submission can either be in Excel or in this MS Word file or with both; your answers should be based analyzing the MS Excel file Happiness_2011.xls on the Happiness Survey under Exam 4; MS Excel file is organized with multiple datasheet for you in the Happiness_2011.xls file. In this exam, you can treat ordinal variables as interval variables.

 

 

1.     Please perform Hypothesis testing for two samples  on the data by doing the following (Hint: Chapter 11, total 25 points)

a. Write down one research question that you could answer using Hypothesis Testing for two samples with the Happiness_2011.xls datasetand state its null and alternative hypotheses (5 points)

b. Organize the data and show in Excel and perform F-test on the variance first to check on the variance (treat both interval variables and ordinal variables as interval variables for this exam) (5 points).

c. Perform t-test Hypothesis testing for two samples’ means using two variables from Happiness_2011.xls dataset (one quantitative variable and one qualitative group variable with only two values) and show the analysis results for the question (10 points);

d. Indicate whether you reject or accept the null hypothesis and Interpret your findings from the analysis (5 points)

Note:

                 i.          in Excel, copy and paste the interval data about a two categories into two columns and then perform analysis.

               ii.          For the test, please watch the video under Chapter 11:F Test  (Test of equal variance) in Excel using data analysis: http://www.youtube.com/watch?v=hI5VZp7Ibiw and then choose between equal variance (http://www.youtube.com/watch?v=X65pklzSUTI) and unequal variance t-test (http://www.youtube.com/watch?v=SHOSNYLrhus).

 

2.     Please Perform ANOVA One-Factor Analysis by doing the following (Hint: Chapter 12, ANOVA,, total 25 points):

a. Write down one question that you could answers using ANOVA One Factor analysis with the Happiness_2011.xls dataset and state its null and alternate hypotheses (5 points);

b. Organize the data and show them in MS Excel (5 points)

c. Perform one ANOVA One-Factor analysis using two reasonable variables from the Happiness_2011.xls dataset (one quantitative variable and one qualitative group variable) and show the analysis results for the question (10 points);

d. Indicate whether you reject or accept the null hypothesis and Interpret your findings from the analysis (5 points)

Note:

                 i.          in Excel, you may use Sort function to select the data under different categories from the dataset, and then use the organized dataset to perform the analysis.

               ii.          For one-way/factor ANOVA test, please watch the video under Chapter 12: One way/factor ANOVA: www.youtube.com/watch?v=leHOBf_-9kM)

 

 

3.     Please Perform one Chi-square Test by doing the following (Hint: Chapter 15/17, Nonparametric Methods: Chi-Square, 20 points):

a. Write down one potential question that you could answers using Chi-square test with the Happiness_2011.xls dataset  and state its null and alternate hypotheses (5 points);

b. Organize the data and show in MS Excel first and then perform one Nonparametric Methods: Chi-Square Test using any two reasonable variables from the Happiness_2011.xls dataset (two qualitative variables) and show the analysis results for the question (10 points);

d. Indicate whether you reject or accept the null hypothesis and Interpret your findings from the analysis (5 points);

Note:

             iii.          in Excel, you may use PivotTable function to build your contingency table from the dataset, and then use the table to perform the analysis. See Video under Chapter 1: How to build a PivotTable in Excel (optional): http://www.youtube.com/watch?v=7zHLnUCtfUk

              iv.          For Chi-square test, please watch the video under Chapter 15/17:: Chi-Square Test  (Test of Contingency Table or Test for Independence) In Excel using data analysis: http://www.youtube.com/watch?v=WDLMhwuNATY

 

4.     Please Perform regression analysis by doing the following (Hint: Chapter 13 on simple regression and 14 on multiple regression, 30 points):

a. Write down potential questions that you could answer using regression analysis for the Happiness_2011.xls dataset (5 points);

b. Organize the data first and then perform one simple regression using any two reasonable variables from the Happiness_2011.xls file (two quantitative variables) and show the analysis results (10 points);

c. Interpret the findings from the simple regression analysis (5 points);

d. Add one or more quantitative variable (including dummy variable that have values of 0 and 1) to the analysis in #b, perform one multiple regression analysis (5 points)

e. Interpret your findings from the multiple regression analysis (5 points).

 

Note:

                 i.          in Excel, you may copy the columns of the variables you want to analyze from the Happiness_2011 dataset and paste them next to each other in a new datasheet.

               ii.          For simple regression analysis, please watch the video under Chapter 13: simple regression basics (Excel): http://www.youtube.com/watch?v=8JOJ_7R_OWY and its interpretation explanation  of simple regression: http://www.youtube.com/watch?v=c5blVUkkjTM

             iii.          For multiple regression analysis, please watch the video under Chapter 14: Multiple regression analysis using Excel: http://www.youtube.com/watch?v=720_5tv_JDs and Multiple regression analysis interpretation:  http://www.youtube.com/watch?v=i7ml3SbWd0w; Multiple regression analysis with dummy variables: http://www.youtube.com/watch?v=F0tRzIjDoTs


Related Questions in statistics category