Independent random samples were selected from two binomial populations, with sample sizes and the number of successes given below. Population 1 2 Sample Size 500 500 Number of Successes 123 141 Construct a 95% confidence interval for the difference in the population proportions. (Use p1 − p2. Round your answers to four decimal places.) to Construct a 99% confidence interval for the difference in the population proportions. (Use p1 − p2. Round your answers to four decimal places.) to

Independent random samples were selected from two binomial populations, with sample sizes and the number of successes given below. Population 1 2 Sample Size 500 500 Number of Successes 123 141 Construct a 95% confidence interval for the difference in the population proportions. (Use p1 − p2. Round your answers to four decimal places.) to Construct a 99% confidence interval for the difference in the population proportions. (Use p1 − p2. Round your answers to four decimal places.) to

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 11PPS

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Question

Independent random samples were selected from two binomial populations, with sample sizes and the number of successes given below.

	Population
	1	2
Sample Size	500	500
Number of Successes	123	141

Construct a 95% confidence interval for the difference in the population proportions. (Use p₁ − p₂. Round your answers to four decimal places.)

Construct a 99% confidence interval for the difference in the population proportions. (Use p₁ − p₂. Round your answers to four decimal places.)

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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