Compute the standard error for sample proportions from a population with proportion p=0.40 for sample sizes of n=50, n=100, and n=1200. Round your answers to three decimal places. Sample Size Standard Error n=50: n=100: n=1200:

Compute the standard error for sample proportions from a population with proportion p=0.40 for sample sizes of n=50, n=100, and n=1200. Round your answers to three decimal places. Sample Size Standard Error n=50: n=100: n=1200:

Name: Chapter 6, Section 1-D, Exercise 007Impact of Sample Size on AccuracyC
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Description: Chapter 6, Section 1-D, Exercise 007Impact of Sample Size on AccuracyCompute the standard error for sample proportions from a population with proportion p=0.40 for sample sizes of n=50, n=100, and n=1200.Round your answers to three decimal places.Sam

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.8: Probability

Problem 21E

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Chapter 6, Section 1-D, Exercise 007

Impact of Sample Size on Accuracy

Compute the standard error for sample proportions from a population with proportion p=0.40 for sample sizes of n=50, n=100, and n=1200.

Round your answers to three decimal places.

Sample Size		Standard Error
n=50:
n=100:
n=1200:

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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