Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.01 to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds). Household Paper Plastic 1 6.05 2.73 2 13.05 12.31 3 16.08 14.36 4 6.98 2.65 5 2.41 1.13 6 9.45 3.02 7 9.19 3.74 8 12.32 11.17 9 11.42 12.81 10 13.61 8.95 11 9.41 3.36 12 11.08 12.47 13 16.39 9.70 14 9.83 6.26 15 17.65 11.26 16 7.57 5.92 17 12.73 14.83 18 8.82 11.89 19 20.12 18.35 20 6.67 6.09 21 11.36 10.25 22 6.33 3.86 23 15.09 9.11 24 3.27 0.63 25 8.72 9.20 26 7.72 3.86 27 13.31 19.70 28 12.43 8.57 29 6.96 7.60 30 6.16 5.88 Household Paper Plastic Click the icon to view the data. In this example, μd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the weight of discarded paper minus the weight of discarded plastic for a household. What are the null and alternative hypotheses for the hypothesis test? A. H0: μd=0 H1: μd≠0 B. H0: μd=0 H1: μd<0 C. H0: μd≠0 H1: μd>0 D. H0: μd≠0 H1: μd=0 Identify the test statistic. t=nothing (Round to two decimal places as needed.) Identify the P-value. P-value=nothing (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is ▼ less greater than the significance level, ▼ reject fail to reject the null hypothesis. There ▼ is not is sufficient evidence to support the claim that there is a difference between the weights of discarded paper and discarded plastic.

Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.01 to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds). Household Paper Plastic 1 6.05 2.73 2 13.05 12.31 3 16.08 14.36 4 6.98 2.65 5 2.41 1.13 6 9.45 3.02 7 9.19 3.74 8 12.32 11.17 9 11.42 12.81 10 13.61 8.95 11 9.41 3.36 12 11.08 12.47 13 16.39 9.70 14 9.83 6.26 15 17.65 11.26 16 7.57 5.92 17 12.73 14.83 18 8.82 11.89 19 20.12 18.35 20 6.67 6.09 21 11.36 10.25 22 6.33 3.86 23 15.09 9.11 24 3.27 0.63 25 8.72 9.20 26 7.72 3.86 27 13.31 19.70 28 12.43 8.57 29 6.96 7.60 30 6.16 5.88 Household Paper Plastic Click the icon to view the data. In this example, μd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the weight of discarded paper minus the weight of discarded plastic for a household. What are the null and alternative hypotheses for the hypothesis test? A. H0: μd=0 H1: μd≠0 B. H0: μd=0 H1: μd<0 C. H0: μd≠0 H1: μd>0 D. H0: μd≠0 H1: μd=0 Identify the test statistic. t=nothing (Round to two decimal places as needed.) Identify the P-value. P-value=nothing (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is ▼ less greater than the significance level, ▼ reject fail to reject the null hypothesis. There ▼ is not is sufficient evidence to support the claim that there is a difference between the weights of discarded paper and discarded plastic.

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

0.01

to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds).

Household	Paper	Plastic
Household	Paper	Plastic
1		6.05	2.73
2		13.05	12.31
3		16.08	14.36
4		6.98	2.65
5		2.41	1.13
6		9.45	3.02
7		9.19	3.74
8		12.32	11.17
9		11.42	12.81
10		13.61	8.95
11		9.41	3.36
12		11.08	12.47
13		16.39	9.70
14		9.83	6.26
15		17.65	11.26
16		7.57	5.92
17		12.73	14.83
18		8.82	11.89
19		20.12	18.35
20		6.67	6.09
21		11.36	10.25
22		6.33	3.86
23		15.09	9.11
24		3.27	0.63
25		8.72	9.20
26		7.72	3.86
27		13.31	19.70
28		12.43	8.57
29		6.96	7.60
30		6.16	5.88

Click the icon to view the data.

In this example,

μd

is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the weight of discarded paper minus the weight of discarded plastic for a household. What are the null and alternative hypotheses for the hypothesis test?

H0:

μd=0

H1:

μd≠0

H0:

μd=0

H1:

μd<0

H0:

μd≠0

H1:

μd>0

H0:

μd≠0

H1:

μd=0

Identify the test statistic.

t=nothing

(Round to two decimal places as needed.)

Identify the P-value.

P-value=nothing

(Round to three decimal places as needed.)

What is the conclusion based on the hypothesis test?

Since the P-value is

▼

less

greater

than the significance level,

▼

reject

fail to reject

the null hypothesis. There

▼

is not

sufficient evidence to support the claim that there is a difference between the weights of discarded paper and discarded plastic.

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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