A1.1: Chapter 2, Problem 2.1, Check the Completed Questionnaires. Write a short narrative of your process, and an interpretation of your findings.
A1.2: Chapter 2, Problem 2.2, Define and Label the Variables. Write a short narrative of your process, and an interpretation of your findings. Include a screen shot of your Completed Variable View.
A1.3: Chapter 2, Problem 2.3, Display your Dictionary or Codebook. Write a short narrative of your process. Include a screen shot of your Codebook.
A1.3: Chapter 2, Problem 2.4, Enter Data. Write a short narrative of your process. Include a screen shot of your Data Editor with the updates included.
A1.4: Chapter 2, Problem 2.5, Run Descriptives and Check the Data. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Descriptive Statistics table directly into your document and refer to it in your interpretation.
A1.5, Application Problem, Preparing Descriptive Statistics I. Using the “college student data.sav” file, do the following problems. Write a short narrative of your process and an interpretation of your findings. Cut and paste your outputs directly into your document and refer to them in your interpretation.
a.Compute the N, minimum, maximum, and mean for all the variables in the college student data file.
• How many students have complete data?
• Identify any statistics on the output that are not meaningful. Explain your opinions.
• What is the mean height of the students?
• What about the average height of the same sex parent?
• What percentage of students are male?
g.What percentage have children?
Assignment 2
A2.1: Chapter 4, Problem 4.1, Descriptive Statistics for the Ordinal and Scale Variables. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Descriptive Statistics tables directly into your document and refer to them in your interpretation.
A2.2: Chapter 4, Problem 4.2, Boxplots for One Variable and for Multiple Variables. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Case Processing Summaries and Boxplots directly into your document and refer to them in your interpretation.
A2.3: Chapter 4, Problem 4.3, Boxplots and Stem‐and‐Leaf Plots Split by a Dichotomous Variable. Writea short narrative of your process, and an interpretation of your findings. Cut and paste the Case Processing Summary, Descriptive Statistics Table, and Boxplot directly into your document and refer to them in your interpretation.
A2.4: Chapter 4, Problem 4.4, Descriptive Statistics for the Dichotomous Variables. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Descriptive Statistics table directly into your document and refer to it in your interpretation.
A2.5: Chapter 4, Problem 4.5, Frequency Tables for a Few Variables. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Descriptive Statistics table and the Frequency Tables directly into your document and refer to them in your interpretation.
A2.6, Application Problem, Preparing Descriptive Statistics II. Using the “college student data.sav” file, do the following problems. Write a short narrative of your process and an interpretation of your findings. Cut and paste your outputs directly into your document and refer to them in your interpretation.
• For the variables with five or more ordered levels, compute the skewness and describe the results.
• Which ones are ordered but not normal?
• Prepare a stem‐and‐leaf plot for the same sex parent’s height split by gender and discuss theplots.
• Which of the variables are nominal? Run the frequencies for the nominal variables and other variables with fewer than five levels and discuss the results.
• Prepare boxplots for student height and for hours of study. Discuss a comparison of the two plots.
b.Which variables in the data set are approximately normally distributed/scale?
Assignment 3
A3.1: Chapter 5, Problem 5.1, Count Math Courses Taken. Write a short narrative of your process, and an interpretation of your findings. Cut and paste Output 5.1 directly into your document and refer to it in your interpretation.
A3.2: Chapter 5, Problem 5.2, Recode and Relabel Mother’s and Father’s Education. Write a short narrative of your process, and an interpretation of your findings. Cut and paste the Statistics Table and Frequency Tables directly into your document and refer to them in your interpretation.
A3.3: Chapter 5, Problem 5.3, Recode and Compute Pleasure Scale Score. Write a short narrative of your process, and an interpretation of your findings. Cut and paste Output 5.3a and Output 5.3b directly into your document and refer to them in your interpretation.
A3.4: Chapter 5, Problem 5.4, Compute Parent’s Revised Education with the Mean Function. Write a short narrative of your process, and an interpretation of your findings. Cut and paste Output 5.4 directly into your document and refer to it in your interpretation.
A3.5: Chapter 5, Problem 5.5, Check for Errors and Normality for the New Variables. Write a short narrative of your process, and an interpretation of your findings. Cut and paste Output 5.5 directly into your document and refer to it in your interpretation.
A3.6, Application Problem ‐ Managing Data. Using the “college student data.sav” file, do the following problems. Write a short narrative of your process and an interpretation of your findings. Cut and paste your outputs directly into your document and refer to them in your interpretation.
• Compute a new variable labeled “average overall evaluation” (aveEval) by computing the average score (evalinst + evalprog + evalphys + evalsoc)/4.
• Compute a similar variable (meanEval) using the Mean function. Compare with the aveEval score and discuss why they differ.
• Count the number and types of TV shows that each student watches.
• Recode the “student’s current gpa” into three categories: 1 = 1.00 ‐ 1.99, 2 = 2.00 ‐ 2.99, 3 = 3.00 ‐
4.00. Produce a Frequency Table for the recoded values.
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