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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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Part 1

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

Two-tailed test

Left-tailed test

Right tailed test

Part 2

b. What is the test statistic?

z=enter your response here

(Round to two decimal places as needed.)

Part 3

c. What is the P-value?

P-value=enter your response here

(Round to four decimal places as needed.)

Part 4

d. What is the null hypothesis, and what do you conclude about it?

Identify the null hypothesis.

A.Upper H 0 : p equals 0.09

H0: p=0.09

B.Upper H 0 : p less than 0.09

H0: p<0.09

C.Upper H 0 : p greater than 0.09

H0: p>0.09

D.Upper H 0 : p not equals 0.09

H0: p≠0.09

Part 5

Decide whether to reject the null hypothesis. Choose the correct answer below.

Reject

the null hypothesis because the P-value is

less than or equal to

the significance level,

α.

Fail to reject

the null hypothesis because the P-value is

less than or equal to

the significance level,

α.

Reject

the null hypothesis because the P-value is

greater than

the significance level,

α.

Fail to reject

the null hypothesis because the P-value is

greater than

the significance level,

α.

Part 6

e. What is the final conclusion?

There

is not

sufficient evidence to support the claim that less than

of treated subjects experienced headaches.

There

sufficient evidence to support the claim that less than

of treated subjects experienced headaches.

There

sufficient evidence to warrant rejection of the claim that less than

of treated subjects experienced headaches.

There

is not

sufficient evidence to warrant rejection of the claim that less than

of treated subjects experienced headaches.

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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