In: Statistics and Probability
Quantitative Research Methods. Can't upload assignment data
Software: IBM SPSS Grad Pack version 25 or newer is required
Text: Morgan, G., Leech, N., Gloeckner, G., Barrett, K. (2013). IBM SPSS for Introductory Statistics (5th Ed.). New York, NY
The assignment is due Wednesday 7th November 2018
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. Write a 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.
a. For the variables with five or more ordered levels, compute the skewness and describe the results.
b. Which variables in the data set are approximately normally distributed/scale?
c. Which ones are ordered but not normal?
d. Prepare a stem‐and‐leaf plot for the same sex parent’s height split by gender and discuss the plots.
e. 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.
f. Prepare boxplots for student height and for hours of study. Discuss a comparison of the two plots.
Solution:
Here, we have to make frequency distributions for the given variables in the data set. We have to make these frequency distributions by using SPSS. Required frequency tables by using SPSS are summarised as below:
Frequencies
Statistics |
|||||
---|---|---|---|---|---|
Gender |
College |
Caffeine |
Test Prep |
||
N |
Valid |
50 |
50 |
50 |
50 |
Missing |
0 |
0 |
0 |
0 |
Gender |
|||||
---|---|---|---|---|---|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
||
Valid |
Male |
24 |
48.0 |
48.0 |
48.0 |
Female |
26 |
52.0 |
52.0 |
100.0 |
|
Total |
50 |
100.0 |
100.0 |
The proportion of the male and female is approximately same or very close. There is no significant difference in the proportion of male and female in the given data.
College |
|||||
---|---|---|---|---|---|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
||
Valid |
No College |
10 |
20.0 |
20.0 |
20.0 |
Some College |
14 |
28.0 |
28.0 |
48.0 |
|
Associate's Degree |
17 |
34.0 |
34.0 |
82.0 |
|
Bachelor's Degree |
9 |
18.0 |
18.0 |
100.0 |
|
Total |
50 |
100.0 |
100.0 |
From above table, it is observed that frequency of the persons with Associate’s Degree is more than person with any other degrees.
Caffeine |
|||||
---|---|---|---|---|---|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
||
Valid |
Yes |
41 |
82.0 |
82.0 |
82.0 |
No |
9 |
18.0 |
18.0 |
100.0 |
|
Total |
50 |
100.0 |
100.0 |
From above table, it is observed that most of persons (about 41 out of 50) included in the data set consume caffeine.
Test Prep |
|||||
---|---|---|---|---|---|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
||
Valid |
No preparation |
14 |
28.0 |
28.0 |
28.0 |
Moderate Preparation |
27 |
54.0 |
54.0 |
82.0 |
|
High Preparation |
9 |
18.0 |
18.0 |
100.0 |
|
Total |
50 |
100.0 |
100.0 |
Frequency of the persons with moderate preparation is more than the person with no preparation or high preparation.