. Previous studies showed that the average person watched 4.55 hours of television per day in 2005. A random sample of 20 people gave the following number of hours of television watched per day for last year. The sample mean is ?̅=4.76 hours and the sample standard deviation is ? = 2.30 hours. (See data on file: M08_Hour_Q8.xlsx) (a)Test at the 1% significance level, do the data provide sufficient evidence to conclude that the amount of television watched per day last year by the average person differed from that in 2005?(b)What is the P-value of the test in part (a)? (c)Obtain a confidence interval corresponding to the test in part (a). (d)Does the interval in part (c) support the result in part (a)? Explain your answer. umber of hours of felevision watched per day for last year. The samplemean is i =4.76 hours and the sample standard deviation is s = 2.30 hours.(See data on file: M08_Hour_Q8.xlsx)1.0 4.6 5.4 3.7 5.21.76.11.97.69.16.95.59.03.92.52.44.74.13.76.2 8. Previous studies showed that the average person watched 4.55 hours of television per day in 2005. Arandom sample of 20 people gave the following number of hours of television watched per day for lastyear. The sample mean is x=4.76 hours and the sample standard deviation is s = 2.30 hours. (See dataon file: M08_Hour_Q8.xlsx)(a)Test at the 1% significance level, do the data provide sufficient evidence to conclude that the amountof television watched per day last year by the average person differed from that in 2005?(b)What is the P-value of the test in part (a)?(c)Obtain a confidence interval corresponding to the test in part (a).(d)Does the interval in part (c) support the result in part (a)? Explain your answer.

(a) The sample size is 20, sample mean is 4.76, sample standard deviation is 2.30, and population…

Answered: a)Test at the 1% significance level, do…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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. Previous studies showed that the average person watched 4.55 hours of television per day in 2005. A random sample of 20 people gave the following number of hours of television watched per day for last year. The sample mean is ?̅=4.76 hours and the sample standard deviation is ? = 2.30 hours. (See data on file: M08_Hour_Q8.xlsx)

(a)Test at the 1% significance level, do the data provide sufficient evidence to conclude that the amount of television watched per day last year by the average person differed from that in 2005?

(b)What is the P-value of the test in part (a)?

(c)Obtain a confidence interval corresponding to the test in part (a).

(d)Does the interval in part (c) support the result in part (a)? Explain your answer.

umber of hours of felevision watched per day for last year. The sample
mean is i =4.76 hours and the sample standard deviation is s = 2.30 hours.
(See data on file: M08_Hour_Q8.xlsx)
1.0 4.6 5.4 3.7 5.2
1.7
6.1
1.9
7.6
9.1
6.9
5.5
9.0
3.9
2.5
2.4
4.7
4.1
3.7
6.2

8. Previous studies showed that the average person watched 4.55 hours of television per day in 2005. A
random sample of 20 people gave the following number of hours of television watched per day for last
year. The sample mean is x=4.76 hours and the sample standard deviation is s = 2.30 hours. (See data
on file: M08_Hour_Q8.xlsx)
(a)Test at the 1% significance level, do the data provide sufficient evidence to conclude that the amount
of television watched per day last year by the average person differed from that in 2005?
(b)What is the P-value of the test in part (a)?
(c)Obtain a confidence interval corresponding to the test in part (a).
(d)Does the interval in part (c) support the result in part (a)? Explain your answer.

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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