Testing:H0:μ≤24H0:μ≤24H1:μ>24H1:μ>24Your sample consists of 34 values, with a sample mean of 24.8. Suppose the population standard deviation is known to be 2.36.a) Calculate the value of the test statistic, rounded to 2 decimal places.z=z=b) At α=0.08α=0.08, the rejection region isz<-1.75z<-1.75z<-1.41z<-1.41z>1.41z>1.41z>1.75z>1.75z<-1.41orz>1.41z<-1.41orz>1.41z<-1.75orz>1.75z<-1.75orz>1.75c) The decision is toReject the null hypothesisAccept the null hypothesisAccept the alternative hypotheisFail to reject the null hypothesisd) Suppose you mistakenly rejected the null hypothesis in this problem, what type of error is that?Type IIType I

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Answered: Testing: H0:μ≤24H0:μ≤24 H1:μ>24H1:μ>24…

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

Testing:

H0:μ≤24H0:μ≤24
H1:μ>24H1:μ>24

Your sample consists of 34 values, with a sample mean of 24.8. Suppose the population standard deviation is known to be 2.36.

a) Calculate the value of the test statistic, rounded to 2 decimal places.
z=z=

b) At α=0.08α=0.08, the rejection region is

z<-1.75z<-1.75
z<-1.41z<-1.41
z>1.41z>1.41
z>1.75z>1.75
z<-1.41orz>1.41z<-1.41orz>1.41
z<-1.75orz>1.75z<-1.75orz>1.75

c) The decision is to

Reject the null hypothesis
Accept the null hypothesis
Accept the alternative hypotheis
Fail to reject the null hypothesis

d) Suppose you mistakenly rejected the null hypothesis in this problem, what type of error is that?

Type II
Type I

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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