A research intern would like to estimate, with 95% confidence, the true proportion of employees who are unsatisfied with their current job. No preliminary estimate is available. The researcher wants the estimate to be within 5% of the population mean. The research intern has a table to use: z0.10 z0.05 z0.025 z0.01 z0.005 1.282 1.645 1.960 2.326 2.576 They complete the calculation for the minimum sample size as follows.... n=1.962(0.5)(0.5)52≈0.038 Which the intern then rounds up to 1. Which value in the calculation is incorrect?

A research intern would like to estimate, with 95% confidence, the true proportion of employees who are unsatisfied with their current job. No preliminary estimate is available. The researcher wants the estimate to be within 5% of the population mean. The research intern has a table to use: z0.10 z0.05 z0.025 z0.01 z0.005 1.282 1.645 1.960 2.326 2.576 They complete the calculation for the minimum sample size as follows.... n=1.962(0.5)(0.5)52≈0.038 Which the intern then rounds up to 1. Which value in the calculation is incorrect?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Question

The research intern has a table to use:

z0.10	z0.05	z0.025	z0.01	z0.005
1.282	1.645	1.960	2.326	2.576

They complete the calculation for the minimum sample size as follows....

n=1.962(0.5)(0.5)52≈0.038

Which the intern then rounds up to 1. Which value in the calculation is incorrect?

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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