Business Data Analysis: Preparation Time and Exam Marks

AFE135 SP 3
Business Data Analysis
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ANS: Cross-sectional survey method could be used for collecting the
requisite fields of information. This particular survey method is generally
used to collect data for a specific issue at a particular point of time. Hence,
collecting information about preparation hours and examination marks from
100 students would be preferable by cross-sectional survey method.
ANS: Simple random sampling could be used by the researcher to collect
information from the target population of students. Choice of population
would be on the basis of convenience, but selection of sample data would
be in a random manner from the population.
ANS: Based on the research question, the dependent variable should be the
marks obtained in the examination. The preparation time spent (in hours)
should be considered as the independent variable to see the impact on
marks obtained. Marks obtained in the exam is an interval type variable
(discrete), and hours of study is ratio level data type (continuous).
ANS: Issues such as timing of the interview, total time to collect the sample
data could be the two primary problems. Probable biasness in the sample
due to the fact that exact cause and effect could not be assessed at the
time of sampling could be an important issue. Associated cost could be
another matter of concern (Nardi, 2018).
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ANS: Distribution table for Preparation Time (in hours)
Table 1: Distribution table for Preparation Time (in hours)
CLASS Lower LimitL Upper Limit MID Frequency Relative Frequency Cumulative Relative Frequency
20-30 20 30 25 1 0.01 0.01
30-40 30 40 35 8 0.08 0.09
40-50 40 50 45 16 0.16 0.25
50-60 50 60 55 20 0.2 0.45
60-70 60 70 65 21 0.21 0.66
70-80 70 80 75 18 0.18 0.84
80-90 80 90 85 16 0.16 1
90-100 90 100 95 0 0 1
Distribution table for Exam Marks
Table 2: Distribution table for Exam Marks Obtained by Students
CLASS Lower LimitL Upper Limit MID Frequency Relative Frequency Cumulative Relative Frequency
20-30 20 30 25 4 0.04 0.04
30-40 30 40 35 8 0.08 0.12
40-50 40 50 45 11 0.11 0.23
50-60 50 60 55 15 0.15 0.38
60-70 60 70 65 31 0.31 0.69
70-80 70 80 75 13 0.13 0.82
80-90 80 90 85 10 0.1 0.92
90-100 90 100 95 8 0.08 1
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Figure 1: Histogram for Frequency Distribution of Preparation Time
Shape of the frequency histogram was almost normal with small amount of negative skewness.
Insignificant frequency in the first class of 20 – 30, and presence of high frequency in the right tail
was the primary reason for this probable negative skewness (Spiegel, & Stephens, 2017).
Figure 2: Histogram for Relative Frequency Distribution of Preparation Time
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