Normal approximation to binomial distribution

Normal approximation to binomial distribution

11th - 12th Grade

20 Qs

quiz-placeholder

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Normal approximation to binomial distribution

Normal approximation to binomial distribution

Assessment

Quiz

Mathematics

11th - 12th Grade

Medium

Created by

Alex Manihuruk

Used 6+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Under what conditions is a normal probability distribution a good approximation for a

discrete binomial distribution?

np and nq greater than 5

np and nq less than 5

μ = np

continuity correction applied

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

For which of the binomial distributions listed below is the normal distribution not a reasonable approximation?

n = 50, p = 0.4

n = 40, p = 0.12

n = 75, p = 0.11

n = 40, p = 0.8

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Assuming that a normal distribution is a reasonable approximation for a binomial distribution, what value is used to approximate the mean?

nq

np

n/p

n/q

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Assuming that a normal distribution is a reasonable approximation for a binomial distribution, what value is used to approximate the standard deviation?

npq

np

√np

npq

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Under what conditions is a normal probability distribution a good approximation for a discrete binomial distribution?

Binomial test is greater than 10

Binomial test is greater than or equal to 10

Binomial test is less than or equal to 10

Binomial test is less than 10

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

For which of the binomial distributions listed below is the normal distribution not a reasonable approximation?

n = 50, p = 0.4

n = 40, p = 0.12

n = 75, p = 0.11

n = 40, p = 0.8

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Assuming that a normal distribution is a reasonable approximation for a binomial distribution, what value is used to approximate the mean?

trials times failure

trials times success

success times failure

screw it, just guess

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