The test statistic of z = 1.05 is obtained when testing the claim that the mean is more than 15. Use a significance level of 0.05This is what type of test? Left tailTwo tailRight tail The critical value is: 1.961.645correct answer is not given1.05 The conclusion is: Fail to reject Ho. There is not sufficent evidence to support the claim that the mean is more than 15.Fail to reject Ho. There is sufficent evidence to support the claim that the mean is more than 15.Reject Ho. There is sufficent evidence to support the claim that the mean is more than 15.Reject Ho. There is not sufficent evidence to support the claim that the mean is more than 15.

The type of test is identified below: From the given information, the claim of the test is the…

Answered: The test statistic of z = 1.05 is…

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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The test statistic of z = 1.05 is obtained when testing the claim that the mean is more than 15. Use a significance level of 0.05

This is what type of test?

Left tail
Two tail
Right tail

The critical value is:

1.96
1.645
correct answer is not given
1.05

The conclusion is:

Fail to reject Ho. There is not sufficent evidence to support the claim that the mean is more than 15.
Fail to reject Ho. There is sufficent evidence to support the claim that the mean is more than 15.
Reject Ho. There is sufficent evidence to support the claim that the mean is more than 15.
Reject Ho. There is not sufficent evidence to support the claim that the mean is more than 15.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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