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Name: In a study of cell phone usage and brain hemispheric dominance, an In
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Description: In a study of cell phone usage and brain hemispheric dominance, an Internet survey was e-mailed to 6973subjects randomly selected from an online group involved with ears. There were 1326 surveys returned. Use a 0.01 significance level to test the c

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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In a study of cell phone usage and brain hemispheric dominance, an Internet survey was e-mailed to 6973subjects randomly selected from an online group involved with ears. There were 1326 surveys returned. Use a 0.01 significance level to test the claim that the return rate is less than 20%. Use the P-value method and use the normal distribution as an approximation to the binomial distribution. Identify the null hypothesis and alternative hypothesis.

A. H0: H≠0.2

H1: p=0.2

B. H0: p=0.2

H1: p≠0.2

C. H0: p<0.2

H1: p=0.2

D. H0: p=0.2

H1: p>0.2

E. H0: p>0.2

H1: p=0.2

F. H0: p=0.2

H1: p<0.2

The test statistic is z=

(Round to two decimal places as needed.)

The P-value is

(Round to three decimal places as needed.)

Because the P-value is?

▼

-less than or

-greater than

the significance level,

▼

-reject or

-fail to reject

the null hypothesis. There is

▼

-sufficient or

-insufficient

evidence to support the claim that the return rate is less than 20%.

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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