(a)What are the null hypothesis H0 and the alternative hypothesis H1 that should be used for the test?H0:H1:(b)Suppose that the union decides to reject the null hypothesis. What sort of error might it be making? ▼(Choose one) (c)Fill in the blanks to describe the Type II error that could occur if this year's true mean hourly wage for foodservice workers in the U.S. is $8.49.A Type II error would be ▼(Choose one) the hypothesis that μ is ▼(Choose one) ▼(Choose one) when, in fact, μ is ▼(Choose one) . A union of restaurant and foodservice workers would like to estimate this year's mean hourly wage, u, of foodservice workers in the U.S. Last year's meanhourly wage was $8.14, and there is good reason to believe that this year's value is different from last year's.The union decides to do a statistical test to see if the value has indeed changed. The union chooses a random sample of this year's wages, computes the meanof the sample to be $8.44, and computes the standard deviation of the sample to be $1.20.Based on this information, complete the parts below.

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Description: (a)What are the null hypothesis H0 and the alternative hypothesis H1 that should be used for the test?H0:H1:(b)Suppose that the union decides to reject the null hypothesis. What sort of error might it be making? ▼(Choose one) (c)Fill in the blanks to

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(a)	What are the null hypothesis H0 and the alternative hypothesis H1 that should be used for the test?
H0:
H1:
(b)	Suppose that the union decides to reject the null hypothesis. What sort of error might it be making?
	▼(Choose one)
(c)	Fill in the blanks to describe the Type II error that could occur if this year's true mean hourly wage for foodservice workers in the U.S. is $8.49 .
A Type II error would be ▼(Choose one) the hypothesis that μ is ▼(Choose one) ▼(Choose one) when, in fact, μ is ▼(Choose one) .

A union of restaurant and foodservice workers would like to estimate this year's mean hourly wage, u, of foodservice workers in the U.S. Last year's mean
hourly wage was $8.14, and there is good reason to believe that this year's value is different from last year's.
The union decides to do a statistical test to see if the value has indeed changed. The union chooses a random sample of this year's wages, computes the mean
of the sample to be $8.44, and computes the standard deviation of the sample to be $1.20.
Based on this information, complete the parts below.

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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