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.

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