cs2007_2025T1_Q1_AN.pdf
Business Data Management(BDM) · Quiz 1 · Jan 2025
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Question 132 MCQ · 2.0 marks
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(1) > (2) > (3)
(1) < (2) < (3)
(3) < (1) < (2)
(2) < (3) < (1)
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Question 133 MCQ · 3.0 marks
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A published solution is not available for this question yet.
Question 134 MCQ · 3.0 marks
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A published solution is not available for this question yet.
Question 135 MSQ · 4.0 marks
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A published solution is not available for this question yet.
Question 136 MSQ · 3.0 marks
Which of the following statements is/are true?
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A published solution is not available for this question yet.
Question 137 NAT · 3.0 marks
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A published solution is not available for this question yet.
Question 138 NAT · 3.0 marks
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A published solution is not available for this question yet.
Question 139 NAT · 3.0 marks
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A published solution is not available for this question yet.
Question 140 NAT · 3.0 marks
Suppose you toss a coin four times and observe no heads. You then give the coin to your friend,
who tosses it until the first head occurs. Your friend tosses the coin a total of five times. Let p
denote the probability that the coin comes up heads. Find the maximum likelihood estimate of p.
A published solution is not available for this question yet.
Question 141 NAT · 4.0 marks
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A published solution is not available for this question yet.
Question 142 MCQ · 2.0 marks
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Based on the above data, answer the given subquestions.
Among the vectors given below, choose a representative that has unit length.

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A published solution is not available for this question yet.
Question 143 NAT · 3.0 marks
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Based on the above data, answer the given subquestions.
If standard PCA is performed on this dataset, what is the variance along the first principal
component? Enter the answer correct to two decimal places.

A published solution is not available for this question yet.
Question 144 MCQ · 2.0 marks
Suppose that 100 items are sampled from a manufacturing process and 10 are found to be
defective. Let p denote the proportion of defective items. Assume that the prior distribution for p
is Beta(1, 1).
Based on the above data, answer the given subquestions.
Select the correct options from the following:
Posterior distribution for p is Beta(91, 11).
Posterior distribution for p is Beta(11, 91).
Posterior distribution for p is Bernoulli(0.1).
Posterior distribution for p is Bernoulli(0.9).
A published solution is not available for this question yet.
Question 145 NAT · 2.0 marks
Suppose that 100 items are sampled from a manufacturing process and 10 are found to be
defective. Let p denote the proportion of defective items. Assume that the prior distribution for p
is Beta(1, 1).
Based on the above data, answer the given subquestions.
Find the posterior mean. Enter the answer correct to two decimal places.
A published solution is not available for this question yet.