Questions 51–60 of 105. Imported answers require independent review unless marked reviewed.

Topic practice 105 questionsPage 6 of 11

Question 18

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Consider a hash table of size 10 with indices

, with the hash function

where linear probing is used to handle collisions. The hash table is initially empty and the following sequence of keys is inserted into the hash table: 1, 4, 5, 6, 14, 15. The indices where the keys 14 and 15 are stored are, respectively
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Question 19

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Let

be a continuous random variable whose cumulative distribution function (CDF)

, for some

, is given as follows:

If the median of

is 3, then what is the value of

?
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Question 20

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Let

, where

is a standard normal random variable, and

are two unknown constants. It is given that

where

denotes the expectation of random variable

. The values of

are:
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Question 21

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It is given that

for an exponentially distributed random variable

with

, where

denotes the expectation of

. What is the value of

?
(ln denotes natural logarithm)
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Question 22

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Consider designing a linear classifier

on a dataset

,

. Recall that the sign function outputs +1 if the argument is positive, and −1 if the argument is non-positive. The parameters

and

are updated as per the following training algorithm:

whenever

. In other words, whenever the classifier wrongly predicts a sample

from the dataset,

gets updated to

, and likewise

gets updated to

. Consider the case

. Then
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Question 23

Open question
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Consider the following Python declarations of two lists.
A=[1,2,3]
B=[4,5,6]
Which one of the following statements results in A=[1,2,3,4,5,6]?
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Question 36

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Let

,

, where

is a normal random variable with mean

and variance

. The variance of

is
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Question 37

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Let

be such that

. Which one of the following statements is ALWAYS correct?
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Question 38

Open question
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Let

be a set of linearly independent vectors in

. Let the

-th element of matrix

be given by

,

. Which one of the following statements is correct?
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Question 39

Open question
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Consider the cumulative distribution function (CDF) of a random variable

:

The value of

is
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