First Year ICS Statistics Chapter 9 Online MCQ Test (Binomial and Hyper geometric Probability Distribution)

This online test contains MCQs about following topics:

Introduction to binomial and hypergeometric probability distribution . Binomial probability distribution . Hyperheometric distribution and hypergeometric experiment

ICS Part 1 Statistics Chapter 9 Test

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MCQ's Test For Chapter 9 "Statistics Ics Part 1 Chapter 9 Online Test"

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Statistics Ics Part 1 Chapter 9 Online Test

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Question # 1

In binomial each trial has

Question # 2

In binomial distribution trails are

Question # 3

The percentage of observations lying within the items X + 3S in the normal distribution.

Question # 4

A fair coin is tossed five the times. The probability of getting zero head is.

Question # 5

If p = q = 1/2 then distribution is called.

Question # 6

In which distribution the successive trials are with replacement

Question # 7

In a binomial expreiment with three trials, the variable can take.

Question # 8

In which distribution the probabiliyt of success remains constant from triam to triail

Question # 9

In a binomial distribution

Question # 10

the numebr of possible outcomes in a Bernoulli trial is.

Question # 11

A binomial random variable is a (an)

Question # 12

In which distribution the successive trials are without replacement.

Question # 13

The mean of a binomial distribution depends on.

Question # 14

In which distribution the successive trails are with replacement.

Question # 15

Which of the following can never be described by a binomial distributions.

Question # 16

"P" or "q" can not be greater than

Question # 17

If the probability of success p = 0.4 for a parability Beronouli trial, the expression 7!/3!4! (0.4)2 (0.6)2 given the probility of getting.

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ICS Part 1 Statistics Chapter 9 MCQs Test

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ICS Part 1 Statistics Chapter 9 Important MCQ's

Sr.# Question Answer
1 A binomial random variable is a (an)
A. Constinuous random variable
B. Discrete random variable
C. Dependent varaible
D. Independent variable
2 In binomial distribution it is impossible to find
A. P(x L)
B. P(x=0)
C. P(x > 0)
D. P(0≤ x∞)
3 In binomial each trial has
A. One outcome
B. Two outcomes
C. Three outcomes
D. Four outcomes
4 In which distribution the successive trials are without replacement.
A. Hypergometric distribution
B. Bionomial dristribution
C. Continuous distribution
D. None of these
5 The mean of a binomial dristubution depends on
A. Parability of success
B. Probability of failure
C. Number of trials
D. Botha a and c
6 In a binomial expreiment with three trials, the variable can take.
A. 2 Values
B. 3 Values
C. 4 Values
D. 5 Values
7 A four die is rolled three times. the probabiliyt of getting three area is.
A. 1/4
B. 1/6
C. 1/216
D. 1/27
8 In a bionial experiment, the successive trails are.
A. Dependent
B. Independent
C. Mutually exclusive
D. FIxed
9 The variance of binomial distribution is
A. np
B. nq
C. npq
D. pq
10 the numebr of possible outcomes in a Bernoulli trial is.
A. One
B. Two
C. Three
D. Four

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