Is there a difference in the satisfaction rating of traditional cellphone providers who bill for service at the end of a month often under a contract and prepaid cellphone service providers who bill in advance without a contract? The accompanying table contains the satisfaction rating for 10 traditional cellphone providers and 13 prepaid cellphone service providers. Assuming that the population variances from both types of cellphone providers are equal, is there evidence of a difference in the mean ratings between the two types of cellphone providers? (Use α=0.10.) Let population 1 be the ratings of the traditional cellphone providers and let population 2 be the ratings of the prepaid cellphone providers. What are the correct null and alternative hypotheses? A. H0: μ1−μ2≥0 H1: μ1−μ2<0 B. H0: μ1−μ2≤0 H1: μ1−μ2>0 C. H0: μ1−μ2=0 H1: μ1−μ2≠0 D. H0: μ1−μ2≠0 H1: μ1−μ2=0 tSTAT=___ p-value=____ Choose the correct conclusion below. A. Reject H0. There is sufficient evidence of a difference in the mean ratings between the two types of cellphone providers. B. Do not reject H0. There is insufficient evidence of a difference in the mean ratings between the two types of cellphone providers. C. Reject H0. There is insufficient evidence of a difference in the mean ratings between the two types of cellphone providers. D. Do not reject H0. There is sufficient evidence of a difference in the mean ratings between the two types of cellphone providers. Which of the following is the correct interpretation of the p-value? A. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is no difference in the sample mean ratings between the two types of cellphone providers. B. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is no difference in the mean ratings between the two types of cellphone providers. C. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is a difference in the mean ratings between the two types of cellphone providers. D. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is a difference in the sample mean ratings between the two types of cellphone providers.

Is there a difference in the satisfaction rating of traditional cellphone providers who bill for service at the end of a month often under a contract and prepaid cellphone service providers who bill in advance without a contract? The accompanying table contains the satisfaction rating for 10 traditional cellphone providers and 13 prepaid cellphone service providers. Assuming that the population variances from both types of cellphone providers are equal, is there evidence of a difference in the mean ratings between the two types of cellphone providers? (Use α=0.10.) Let population 1 be the ratings of the traditional cellphone providers and let population 2 be the ratings of the prepaid cellphone providers. What are the correct null and alternative hypotheses? A. H0: μ1−μ2≥0 H1: μ1−μ2<0 B. H0: μ1−μ2≤0 H1: μ1−μ2>0 C. H0: μ1−μ2=0 H1: μ1−μ2≠0 D. H0: μ1−μ2≠0 H1: μ1−μ2=0 tSTAT=_ p-value=__ Choose the correct conclusion below. A. Reject H0. There is sufficient evidence of a difference in the mean ratings between the two types of cellphone providers. B. Do not reject H0. There is insufficient evidence of a difference in the mean ratings between the two types of cellphone providers. C. Reject H0. There is insufficient evidence of a difference in the mean ratings between the two types of cellphone providers. D. Do not reject H0. There is sufficient evidence of a difference in the mean ratings between the two types of cellphone providers. Which of the following is the correct interpretation of the p-value? A. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is no difference in the sample mean ratings between the two types of cellphone providers. B. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is no difference in the mean ratings between the two types of cellphone providers. C. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is a difference in the mean ratings between the two types of cellphone providers. D. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is a difference in the sample mean ratings between the two types of cellphone providers.

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Description: Is there a difference in the satisfaction rating of traditional cellphone providers who bill for service at the end of a month often under a contract and prepaid cellphone service providers who bill in advance without a contract? The accompanying ta

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Author:HOLT MCDOUGAL

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Chapter6: Ratio, Proportion, And Probability

Section6.6: Scale Drawings

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Assuming that the population variances from both types of cellphone providers are equal, is there evidence of a difference in the mean ratings between the two types of cellphone providers? (Use

α=0.10.)

Let population 1 be the ratings of the traditional cellphone providers and let population 2 be the ratings of the prepaid cellphone providers. What are the correct null and alternative hypotheses?

A. H0: μ1−μ2≥0

H1: μ1−μ2<0

B. H0: μ1−μ2≤0

H1: μ1−μ2>0

C. H0: μ1−μ2=0

H1: μ1−μ2≠0

D. H0: μ1−μ2≠0

H1: μ1−μ2=0

tSTAT=___

p-value=____

Choose the correct conclusion below.

A. Reject H0. There is sufficient evidence of a difference in the mean ratings between the two types of cellphone providers.

B. Do not reject H0. There is insufficient evidence of a difference in the mean ratings between the two types of cellphone providers.

C. Reject H0. There is insufficient evidence of a difference in the mean ratings between the two types of cellphone providers.

D. Do not reject H0. There is sufficient evidence of a difference in the mean ratings between the two types of cellphone providers.

Which of the following is the correct interpretation of the p-value?

A. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is no difference in the sample mean ratings between the two types of cellphone providers.

B. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is no difference in the mean ratings between the two types of cellphone providers.

C. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is a difference in the mean ratings between the two types of cellphone providers.

D. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result if there is a difference in the sample mean ratings between the two types of cellphone providers.

one Provider Ratings
Туре
Type of Provider
Rating
Traditional
87
88
81
Traditional
Traditional
Traditional
76
Traditional
75
Traditibnal
72
Traditional
74
Traditional
72
Traditional
69
Traditional
66
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
Prepaid
87
85
79
81
78
75
74
74
72
69
72
68

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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