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 0.10 to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds).
Household Paper Plastic
1 6.16 5.88
2 16.39 9.70
3 6.33 3.86
4 11.36 10.25
5 12.43 8.57
6 7.98 6.09
7 11.42 12.81
8 13.31 19.70
9 6.83 3.57
10 9.19 3.74
11 12.73 14.83
12 13.05 12.31
13 6.98 2.65
14 12.32 11.17
15 8.82 11.89
16 9.45 3.02
17 17.65 11.26
18 9.83 6.26
19 15.09 9.11
20 6.44 8.40
21 6.38 8.82
22 20.12 18.35
23 7.57 5.92
24 13.61 8.95
25 11.08 12.47
26 5.86 3.91
27 6.67 6.09
28 9.55 9.20
29 16.08 14.36
30 2.41 1.13
In this example, mu Subscript d 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. Upper H 0: mu Subscript dnot equals0 Upper H 1: mu Subscript dgreater than0
or
B. Upper H 0: mu Subscript dnot equals0 Upper H 1: mu Subscript dequals0
or
C. Upper H 0: mu Subscript dequals0 Upper H 1: mu Subscript dless than0
or
D. Upper H 0: mu Subscript dequals0 Upper H 1: mu Subscript dnot equals0
Identify the test statistic. tequals nothing (Round to two decimal places as needed.)
Identify the P-value. P-valueequals nothing (Round to three decimal places as needed.)
What is the conclusion based on the hypothesis test? Since the P-value is ▼ than the significance level, ▼ the null hypothesis. There ▼ sufficient evidence to support the claim that there is a difference between the weights of discarded paper and discarded plastic
first arrow option (less, greater)
second arrow option (fail to reject, reject)
third arrow option(is, is not)
The statistical software output for this problem is:
Hence,
Hypotheses: Option D is correct.
Test statistic = 2.83
P - value = 0.008
Less; Reject; is
Refer to the data set in the accompanying table. Assume that the paired sample data is...
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 13.61 8.95 2 6.98 2.65 3 6.38 8.82 4 6.67 6.09 5 7.57 5.92 6 8.82 11.89 7 3.27 0.63...
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 12.73 14.83 2 13.61 8.95 3 6.96 7.60 4 17.65 11.26 5 11.08 12.47 6 9.83 6.26 7 12.32 11.17...
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 9.41 3.36 2 15.09 9.11 3 6.83 3.57 4 7.98 6.09 5 17.65 11.26 6 7.57 5.92 7 13.31 19.7...
that's all the data i have. 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) E Click the icon to view the data. In this example, He is the mean value of the...
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Household Paper Plastic 1 9.45 3.02 2 6.33 3.86 3 8.72 9.20 4 13.05 12.31 5 12.43 8.57 6 20.12 18.35 7 11.36 10.25 8 5.86 3.91 9 16.08 14.36 10 6.44 8.40 11 11.42 12.81 12 9.55 9.20 13 6.16 5.88 14 2.41 1.13 15 16.39 9.70 16 6.67 6.09 17 6.05 2.73 18 15.09 9.11 19 12.73 14.83 20 9.19 3.74 21 13.31 19.70 22 6.96 7.60 23 7.72 3.86 24 6.98 2.65 25 2.80 5.92 26 17.65 ...
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