Assignment 2.docx - QUANTITATIVE RESEARCH METHODS -...

QUANTITATIVE RESEARCH METHODS - ASSIGNEMTN 2 1
Jean Paul Francois
BUSI 820 Quantitative Research Methods – Online
05/24/2020
Assignment 2
05/24/2020

QUANTITATIVE RESEARCH METHODS - ASSIGNEMTN 2 2
Table of Contents
Pages
A2.1: Chapter 4, Problem 4.1, Descriptive Statistics for the Ordinal and Scale 3
A2.1. a. Narrative of Process 3
A2.1.b. Interpretation of Findings 3
A2.2: Chapter 4, Problem 4.2, Boxplots for One Variable and for Multiple Variables 5
A2.2.a. Narrative of Process 5
A2.2.b. Interpretation of Findings 5
A2.3: Chapter 4, Problem 4.3, Boxplots and Stem‐and‐Leaf Plots 7
A2.3.a. Narrative of Process 7
A2.3.b. Interpretation of Findings 7
A2.4: Chapter 4, Problem 4.4, Descriptive Statistics for the Dichotomous Variables 10
A2.4.a. Narrative of Findings 10
A2.4.b. Interpretation of Findings 10
A2.5: Chapter 4, Problem 4.5, Frequency Tables for a Few Variables 12
A2.5.a. Narrative of Process 12
A2.5.b. Interpretation of Findings 12
A2.6, Application Problem, Preparing Descriptive Statistics II 15
References 23
05/24/2020

QUANTITATIVE RESEARCH METHODS - ASSIGNEMTN 2 3
Assignment 2
A2.1: Chapter 4, Problem 4.1, Descriptive Statistics for the Ordinal and Scale Variables
A2.1.a. Narrative of the Process
I utilize the hsbdata.sav to generate the Descriptive Statistics tables shown in outputs 4.1.a and
4.1.b. I started by selecting analyze and highlighting all the “ordinal and moving them to the
variables box, afterwards from the “Options” box, I checked all essential boxes and hit continue
and ok to generate the Descriptive Statistics table 4.1a. I replicated the very same method but
that period with all the variables named “Scale” to generate the Descriptive Statistics table 4.1b.
I then cut and paste both tables.
A2.1b. Interpretation of the Findings
All the variables categorized as ordinal and scale are incorporated in both descriptive statistics
tables. They as well incorporate the number of subjects (N) the Minimum (lowest), and
Maximum (highest) scores, the Mean (or average) for every variable, the standard deviation and
the Skewness statistic. Error of the skewness. The Valid N is 69 for the output 4.1a. and 71 for
the output 4.1b. The variables father’s education, item01, motivation, and competence have one
or two participants with missing data.
The mean is 5.2433 for the variable visualization test. For the variable math achievement
test, the skewness is .044 and the standard error is .277. It illustrates that the math achievement
test scores are nearly normally distributed since the skewness statistic is within the range of +1 to
-1. For the mosaic pattern test, the minimum score is -4.0. It is comparable the lowest possible
score given to the mosaic pattern test. This signifies that some subjects have scored the lowest
probable score in the mosaic pattern test. For the variable Competence Scale, the skewness
statistic is -1.634. This demonstrates that the variable did not follow the normal distribution.