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Introduction To Social Statistics I Question Paper
Introduction To Social Statistics I
Course:Bachelor Of Education
Institution: Kenyatta University question papers
Exam Year:2010
KENYATTA UNIVERSITY
UNIVERSITY EXAMINATIONS 2010/2011
FIRST SEMESTER EXAMINATION FOR THE DEGREE OF BACHELOR OF
ARTS
ASC 102:INTRODUCTION TO SOCIAL STATISTICS I
DATE: Friday, 26th November, 2010
TIME: 8.00 a.m. ? 10.00 a.m.
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INSTRUCTIONS: Answer question ONE and any TWO.
Q.1
a)
What is Social Statistics?
b)
Give and explain five justifications for using secondary data.
c)
Explain five limitations of social statistics.
Q.2
a)
A test is normally distributed with a mean of 40 and a standard deviation
of 2.
i)
What score would be needed to be in 85th percentile?
ii)
What score would be needed to be in the 22nd percentile?
b)
A normal distribution is known by two parameters, what are they?
d)
Distinguish between simple random and systematic sampling?
Q.3
a)
Categorize and explain the following variables as being qualitative or
Quantitative
i)
A woman?s height
ii)
An athletes sex
iii)
Number of family members
iv)
Mother tongue
v)
Marks in statistics
b)
Categorize the above variables as either contours or discrete.
Q.4
The following raw data gives the sizes of shoes of 30 students.
2, 5, 6, 4, 5, 7, 4, 4, 6, 2
3, 5, 5, 4, 5, 6, 5, 4, 3, 2
4, 4, 5, 4, 5, 5, 3, 2, 4, 4
a)
Prepare a frequency distribution table.
b)
Explain five principles of Constructing Diagrams.
c)
The following distribution of commuter distances was obtained form a
sample of Kenyatta University Commuting Students.
Distances in KM
Frequency
1.0 ? 3.0
2
3.0 ? 5.0
6
5.0 ? 7.0
12 7.0 ? 9.0
50 9.0 ? 11.0
35 11.0 ? 13.0
15 13.0 ? 15.0
5
Find the mean and the standard deviation for the Commuting distances.
Q.5
A random sample of Kenyatta University Students is classified by age-group as
shown by the following data:
Age-group
Frequency
18 ? 24
17 24 ? 30
22 30 ? 36
25 36 ? 42
35 42 ? 48
33 48 ? 54
30 54 ? 60
30 60 ? 66
21 66 ? 72
15
Calculate:
i)
Mean of the data
ii)
Median of data
iii)
Mode of data
iv)
Variance of data
v)
Standard deviation of data
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