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Decision Science
April 2025 Examination
1)
Calculate Quartile Deviation from the following
Earnings (Rs) |
Number of Persons |
25 |
25 |
26 |
70 |
27 |
210 |
28 |
275 |
29 |
430 |
30 |
550 |
31 |
340 |
32 |
130 |
33 |
90 |
34 |
55 |
35 |
25 |
(10 Marks)
Here
is a structured approach to writing the answer for the question on calculating
Quartile Deviation:
Ans
1.
Decision science involves using quantitative and analytical methods to
aid decision-making. Quartile Deviation (QD) is a statistical tool used to
measure the spread or variability in a dataset, focusing on the middle 50% of
the observations. Unlike standard deviation, which considers all values in the
dataset, QD emphasizes the interquartile range (IQR), providing a robust
measure of dispersion unaffected
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2)
Calculate Median from the following
Class - Interval |
Number of Students |
0-10 |
5 |
10-20 |
8 |
20-30 |
7 |
30-40 |
12 |
40-50 |
28 |
50-60 |
20 |
60-70 |
10 |
70-80 |
10 |
(10 Marks)
Ans
2.
Introduction
The median is a
fundamental measure in statistics, representing the middle value of a dataset
when arranged in ascending order. For grouped data, the median is the class
interval where the cumulative frequency reaches or exceeds half of the total
observations. It provides a central value that divides the data into two equal
halves, making it a robust measure of central tendency, especially for skewed distributions.
In educational
contexts, calculating the median can provide insights into the performance or
participation of students across intervals,
3.a) A bag contains 6 white and 4
black balls. Two balls are drawn at random one after another without replacement.
Find the probability that both drawn balls are white. (5 Marks)
Ans 3a.
Introduction
Probability is a fundamental concept in mathematics, used to
measure the likelihood of an event occurring. In this problem, we are
calculating the probability of drawing two white balls consecutively from a bag
containing 6 white and 4 black balls. Since the draws are without replacement,
3.b)
In an intelligence test administered on 1000 children, the average was 42 and
standard deviation was 24. Find the number of children exceeding a score of
50. (5 Marks)
Ans
3b.
Introduction
The standard normal distribution
is a critical concept in statistics used to understand data behavior and
probabilities. In this problem, we calculate the number of children scoring
above 50 in an intelligence test where the scores are normally distributed with
a mean of 42 and a standard deviation of 24. Using the Z-score and standard
normal tables, we will find the probability of exceeding a score of 50 and
determine the corresponding number of children. This calculation is
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