Use technology to help you test the claim about the population mean,μ,at the given level of significance,α,using the given sample statistics. Assume the population is normally distributed. Claim:μ≤1210;α=0.04;σ=204.82.Sample statistics:x=1235.97,n=250 Identify the null and alternative hypotheses. Choose the correct answer below. A.H0:μ>1235.97Ha:μ≤1235.97 B.H0:μ≥1235.97Ha:μ<1235.97 C.H0:μ≤1235.97Ha:μ>1235.97 D.H0:μ≥1210Ha:μ<1210 E.H0:μ>1210Ha:μ≤1210 F.H0:μ≤1210Ha:μ>1210Calculate the standardized test statistic. The standardized test statistic is____.(Round to two decimal places as needed.)Determine the P-value. P=___(Round to three decimal places as needed.)Determine the outcome and conclusion of the test.

Answered: Use technology to help you test the…

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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Question

Use technology to help you test the claim about the population mean,

μ,

at the given level of significance,

α,

using the given sample statistics. Assume the population is normally distributed.

Claim:

μ≤1210;

α=0.04;

σ=204.82.

Sample statistics:

x=1235.97,

n=250

Identify the null and alternative hypotheses. Choose the correct answer below.

H0:

μ>1235.97

Ha:

μ≤1235.97

H0:

μ≥1235.97

Ha:

μ<1235.97

H0:

μ≤1235.97

Ha:

μ>1235.97

H0:

μ≥1210

Ha:

μ<1210

H0:

μ>1210

Ha:

μ≤1210

H0:

μ≤1210

Ha:

μ>1210

Calculate the standardized test statistic.

The standardized test statistic is

____.

(Round to two decimal places as needed.)

Determine the P-value.

P=___

(Round to three decimal places as needed.)

Determine the outcome and conclusion of the test.

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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