(a)State the null hypothesis H0 and the alternative hypothesis H1.H0:H1:(b)Determine the type of test statistic to use. ▼(Choose one) (c)Find the value of the test statistic. (Round to three or more decimal places.) (d)Find the two critical values at the 0.05 level of significance. (Round to three or more decimal places.)and(e)Can we support the claim that the mean number of commercials aired during prime time by the first station is not equal to the mean number of commercials aired during prime time by the second station? Yes No The histo.cul reports from two major networks showed that the mean number of commercials aired during prime time was equal for both networks last year. Inorder to find out whether they still air the same number of commercials on average or not, random and independent samples of 60 recent prime time airingsfrom both networks have been considered. The first network aired a mean of 111.0 commercials during prime time with a standard deviation of 4.5. The secondnetwork aired a mean of 109.0 commercials during prime time with a standard deviation of 5.0. Since the sample sizes are quite large, assume that thepopulation standard deviations can be estimated to be equal to the sample standard deviations, 4.5 and 5.0. At the 0.05 level of significance, is there sufficientevidence to support the claim that the mean number, u,, of commercials aired during prime time by the first station is not equal to the mean number, l, ofcommercials aired during prime time by the second station? Perform a two-tailed test. Then complete the parts below.Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.)

Name: (a)State the null hypothesis H0 and the alternative hypothesis H1.H0:H
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Description: (a)State the null hypothesis H0 and the alternative hypothesis H1.H0:H1:(b)Determine the type of test statistic to use. ▼(Choose one) (c)Find the value of the test statistic. (Round to three or more decimal places.) (d)Find the two critical values at

Given: First station: Sample size (n1) = 60 Sample mean (x1) = 111 Standard deviation (s1) = 4.5…

Answered: The histu.cul reports from two major…

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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(a)	State the null hypothesis H0 and the alternative hypothesis H1 .
H0:
H1:
(b)	Determine the type of test statistic to use.
	▼(Choose one)
(c)	Find the value of the test statistic. (Round to three or more decimal places.)

(d)	Find the two critical values at the 0.05 level of significance. (Round to three or more decimal places.)
and
(e)	Can we support the claim that the mean number of commercials aired during prime time by the first station is not equal to the mean number of commercials aired during prime time by the second station?
Yes No

The histo.cul reports from two major networks showed that the mean number of commercials aired during prime time was equal for both networks last year. In
order to find out whether they still air the same number of commercials on average or not, random and independent samples of 60 recent prime time airings
from both networks have been considered. The first network aired a mean of 111.0 commercials during prime time with a standard deviation of 4.5. The second
network aired a mean of 109.0 commercials during prime time with a standard deviation of 5.0. Since the sample sizes are quite large, assume that the
population standard deviations can be estimated to be equal to the sample standard deviations, 4.5 and 5.0. At the 0.05 level of significance, is there sufficient
evidence to support the claim that the mean number, u,, of commercials aired during prime time by the first station is not equal to the mean number, l, of
commercials aired during prime time by the second station? Perform a two-tailed test. Then complete the parts below.
Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.)

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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