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 0.05 to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds). HouseholdPaperPlastic 13.270.63 27.723.86 311.3610.25 46.448.40 59.453.02 66.676.09 79.559.20 86.967.60 96.333.86 109.836.26 119.413.36 1217.6511.26 1313.3119.70 1412.7314.83 156.833.57 166.052.73 1713.0512.31 186.388.82 196.982.65 209.193.74 212.411.13 226.165.88 237.986.09 2413.618.95 257.575.92 268.729.20 275.863.91 282.805.92 2916.399.70 3020.1218.35 HouseholdPaperPlastic 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? Identify the test statistic.T=Identify the P-Value.P=

Answered: Refer to the data set in the…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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

Household	Paper	Plastic
1	3.27	0.63
2	7.72	3.86
3	11.36	10.25
4	6.44	8.40
5	9.45	3.02
6	6.67	6.09
7	9.55	9.20
8	6.96	7.60
9	6.33	3.86
10	9.83	6.26
11	9.41	3.36
12	17.65	11.26
13	13.31	19.70
14	12.73	14.83
15	6.83	3.57
16	6.05	2.73
17	13.05	12.31
18	6.38	8.82
19	6.98	2.65
20	9.19	3.74
21	2.41	1.13
22	6.16	5.88
23	7.98	6.09
24	13.61	8.95
25	7.57	5.92
26	8.72	9.20
27	5.86	3.91
28	2.80	5.92
29	16.39	9.70
30	20.12	18.35
Household	Paper	Plastic

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?

Identify the test statistic.

Identify the P-Value.

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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