Use 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=51,700;α=0.10 Sample statistics:x=52,912,s=1800,n=20 LOADING...Click the icon to view the t-distribution table.What are the null and alternative hypotheses? Choose the correct answer below. A.H0:μ=51,700Ha:μ≠51,700Your answer is correct. B.H0:μ≥51,700Ha:μ<51,700 C.H0:μ≤51,700Ha:μ>51,700 D.H0:μ≠51,700Ha:μ=51,700What is the value of the standardized test statistic? The standardized test statistic isnothing.(Round to two decimal places as needed.) MoreEnter your answer in the answer box and then click Check Answer. 2parts remaining

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Description: Use 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=51,700;α=0.10 Sample statistics:x=52,912,s=1800,n=20 LOADIN

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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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Use a t-test to test the claim about the population mean

at the given level of significance

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

Claim:

μ=51,700;

α=0.10

Sample statistics:

x=52,912,

s=1800,

n=20

Click the icon to view the t-distribution table.

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

H0:

μ=51,700

Ha:

μ≠51,700

Your answer is correct.

H0:

μ≥51,700

Ha:

μ<51,700

H0:

μ≤51,700

Ha:

μ>51,700

H0:

μ≠51,700

Ha:

μ=51,700

What is the value of the standardized test statistic?

The standardized test statistic is

nothing.

(Round to two decimal places as needed.)

Enter your answer in the answer box and then click Check Answer.

parts remaining

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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