For the following information, determine whether a normal sampling distribution can be used, where p is the population proportion, α is the level of significance, p is the sample proportion, and n is the sample size. If it can be used, test the claim. Claim: p≥0.34; α=0.08. Sample statistics: p=0.30, n=150 Question content area bottom Part 1 Let q=1−p and let q=1−p. A normal sampling distribution ▼ be used here, since ▼ ▼ greater than or equals≥ less than< 5 and ▼ nqnq n ModifyingAbove q with caretnq ▼ less than< greater than or equals≥ 5.

For the following information, determine whether a normal sampling distribution can be used, where p is the population proportion, α is the level of significance, p is the sample proportion, and n is the sample size. If it can be used, test the claim. Claim: p≥0.34; α=0.08. Sample statistics: p=0.30, n=150 Question content area bottom Part 1 Let q=1−p and let q=1−p. A normal sampling distribution ▼ be used here, since ▼ ▼ greater than or equals≥ less than< 5 and ▼ nqnq n ModifyingAbove q with caretnq ▼ less than< greater than or equals≥ 5.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question content area bottom

Part 1

Let

q=1−p

and let

q=1−p.

A normal sampling distribution

▼

be used here, since

▼

greater than or equals≥

less than<

and

▼

nqnq

n ModifyingAbove q with caretnq

▼

less than<

greater than or equals≥

Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.

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