LB5235: Assessment 1 – Data Analysis

Running head: LB5235: ASSESSMENT 1-DATA ANALYSIS 1
LB5235: Assessment 1 – Data Analysis
By (Name of Student
(Institutional Affiliation)
(Date of Submission)

LB5235: ASSESSMENT 1-DATA ANALYSIS 2
1. Data handling
a. Enter the data in the computer. (2 marks)
b. Provide appropriate variable labels, values labels, and scaling indications to the
variables. (2)
Screenshot

LB5235: ASSESSMENT 1-DATA ANALYSIS 3
2. Descriptives
a. Use Analyze, Descriptive statistics, Descriptives to summarize metric variables. (3)
The table 1 below display the descriptive statistics of the metric variables as obtained from
SPSS output window.
Table 1: Summary Statistics for Metric Variables
Descriptive Statistics
N
Minimu
m
Maximu
m Mean
Std.
Deviation
Varianc
e Skewness Kurtosis
Statistic Statistic Statistic Statistic
Std.
Error Statistic Statistic Statistic
Std.
Error Statistic
Std.
Error
Age 24 17 35 22.96 .931 4.563 20.824 1.209 .472 .932 .918
Exam Marks 24 67 97 82.00 1.635 8.011 64.174 -.020 .472 -.568 .918
Paper Marks 24 57 95 80.33 2.098 10.277 105.623 -.669 .472 .108 .918
IQ 24 60 165 101.08 5.120 25.082 629.123 .613 .472 .295 .918

LB5235: ASSESSMENT 1-DATA ANALYSIS 4
Valid N
(listwise)
24
b. Recode the sex variable such that it is 1 for females and 0 for males. Hint: Do this
immediately in your own dataset, so do not enter M and F. (3)
Screenshot
c. Use Analyze, Descriptive statistics, Frequencies to summarize nonmetric variables. (3)
Table 2: Summary Statistics for Sex
Sex
Frequency Percent Valid Percent Cumulative Percent
Valid 0 11 45.8 45.8 45.8
1 13 54.2 54.2 100.0
Total 24 100.0 100.0
Table 3: Summary Statistics for Year in College