8. Use technology and a t-test to test the claim about the population meanμat the given level of significanceαusing the given sample statistics. Assume the population is normally distributed. Claim:μ>76;α=0.01 Sample statistics:x=76.6,s=3.5,n=29 Question content area bottomPart 1What are the null and alternative hypotheses? Choose the correct answer below. A.H0:μ≥76HA:μ<76 B.H0:μ≤76HA:μ>76Your answer is correct. C.H0:μ=76HA:μ≠76 D.H0:μ≠76HA:μ=76Part 2What is the value of the standardized test statistic? The standardized test statistic is0.92 0.92.(Round to two decimal places as needed.)Part 3What is the P-value of the test statistic? P-value=enter your response here (Round to three decimal places as needed.)

We have given that Claim: μ>76; α=0.01 Sample statistics: x=76.6, s=3.5, n=29

Answered: . Use technology and a t-test to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Question content area bottom

Part 1

What are the null and alternative hypotheses? Choose the correct answer below.

H0:

μ≥76

HA:

μ<76

H0:

μ≤76

HA:

μ>76

Your answer is correct.

H0:

μ=76

HA:

μ≠76

H0:

μ≠76

HA:

μ=76

Part 2

What is the value of the standardized test statistic?

The standardized test statistic is

0.92

0.92.

(Round to two decimal places as needed.)

Part 3

What is the P-value of the test statistic?

P-value=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.

Expert Solution