A poll of2,096randomly selected adults showed that91%of them own cell phones. The technology display below results from a test of the claim that95%of adults own cell phones. Use the normal distribution as an approximation to the binomial distribution, and assume a0.01significance level to complete parts (a) through (e). Test ofp=0.95vsp≠0.95SampleXNSample p95% CIZ-ValueP-Value119062,0960.909351(0.893198,0.925505)−8.540.000 Question content area bottomPart 1a. Is the test two-tailed, left-tailed, or right-tailed? Two-tailed testYour answer is correct. Left-tailed test Right tailed testPart 2b. What is the test statistic? The test statistic isnegative 8.54−8.54.(Round to two decimal places as needed.)Part 3c. What is the P-value? The P-value isenter your response here.(Round to three decimal places as needed.)

Answered: Image /qna-images/answer/87ddc973-418f-4ebb-b98b-97e9f5433f18.jpg

Answered: A poll of 2,096 randomly selected…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Test of p=0.95 vs p≠0.95
Sample	X	N	Sample p	95% CI	Z-Value	P-Value
1	1906	2,096	0.909351	(0.893198,0.925505)	−8.54	0.000

Question content area bottom

Part 1

a. Is the test two-tailed, left-tailed, or right-tailed?

Two-tailed test

Your answer is correct.

Left-tailed test

Right tailed test

Part 2

b. What is the test statistic?

The test statistic is

negative 8.54−8.54.

(Round to two decimal places as needed.)

Part 3

c. What is the P-value?

The P-value is

enter your response here.

(Round to three decimal places as needed.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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