/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q15BSC In Exercises 5鈥16, test the gi... [FREE SOLUTION] | 91影视

91影视

In Exercises 5鈥16, test the given claim.

Old Faithful Listed below are time intervals (min) between eruptions of the Old Faithfulgeyser. The 鈥渞ecent鈥 times are within the past few years, and the 鈥減ast鈥 times are from 1995.

Does it appear that the variation of the times between eruptions has changed?

Recent

78

91

89

79

57

100

62

87

70

88

82

83

56

81

74

102

61

Past

89

88

97

98

64

85

85

96

87

95

90

95

Short Answer

Expert verified

There is enough evidence to support the claim that the variation of the times between eruptions has changed

Step by step solution

01

Given information

Two samples are considered. One sample represents the recent time intervals between eruptions with a sample size equal to 17,and the other represents past time intervals between eruptions with a sample size equal to 12.

It is claimed that the variation inthe recent eruption times is not equal to the variation in the pasteruption times.

02

Hypotheses

Let\({\sigma _1}\)and\({\sigma _2}\)be the population standard deviationsof the recent eruption timesandthe past eruption timesrespectively.

Null hypothesis: The population standard deviation of the recent eruption timesis equal to the population standard deviation of the past eruption times.

Symbolically,

\({H_0}:{\sigma _1} = {\sigma _2}\)

Alternate Hypothesis: The population standard deviation of the recent eruption times is not equal to the population standard deviation of the past eruption times.

Symbolically,

\({H_1}:{\sigma _1} \ne {\sigma _2}\)

03

Sample mean, sample size, and sample standard deviations  

The sample variance has the following formula:

\({s^2} = \frac{1}{{n - 1}}\sum\limits_{i = 1}^n {{{\left( {x - \bar x} \right)}^2}} \)

The sample mean recent eruption time is equal to:

\(\begin{array}{c}{{\bar x}_1} = \frac{{78 + 91 + ....... + 61}}{{17}}\\ = 78.82\end{array}\)

The sample standard deviation of the recent eruption times is computed below:

\(\begin{array}{c}{s_{recent}} = \sqrt {\frac{{\sum\limits_{i = 1}^{{n_1}} {{{({x_i} - {{\bar x}_1})}^2}} }}{{{n_1} - 1}}} \\ = \sqrt {\frac{{{{\left( {78 - 78.82} \right)}^2} + {{\left( {91 - 78.82} \right)}^2} + .... + {{\left( {61 - 78.82} \right)}^2}}}{{17 - 1}}} \\ = 13.97\end{array}\)

Therefore, the standard deviation of the recent time interval between eruptions is equal to 13.97 minutes.

The sample mean past eruption time is equal to:

\(\begin{array}{c}{{\bar x}_2} = \frac{{\sum\limits_{i = 1}^{{n_2}} {{x_i}} }}{{{n_2}}}\\ = \frac{{89 + 88 + ... + 95}}{{12}}\\ = 89.08\end{array}\)

The sample standard deviation of the past eruption times is computed below:

\(\begin{array}{c}{s_{past}} = \sqrt {\frac{{\sum\limits_{i = 1}^{{n_2}} {{{({x_i} - {{\bar x}_2})}^2}} }}{{{n_2} - 1}}} \\ = \sqrt {\frac{{{{\left( {89 - 89.08} \right)}^2} + {{\left( {88 - 89.08} \right)}^2} + .... + {{\left( {95 - 89.08} \right)}^2}}}{{12 - 1}}} \\ = 9.19\end{array}\)

Therefore, the standard deviation of the past timeinterval between eruptions is equal to 9.19 minutes.

04

Compute the test statistic

Since two independent samples involve a claim about the population standard deviation, apply an F-test.

Consider the larger sample variance to be\(s_1^2\)and the corresponding sample size to be\({n_1}\).

The following values are obtained:

\({\left( {13.97} \right)^2} = 195.1609\)

\({\left( {9.19} \right)^2} = 84.4561\)

Here,\(s_1^2\)is the sample variance corresponding to recent eruption times and has a value equal to 195.1609 minutes squared.

\(s_2^2\)is the sample variance corresponding to the past eruption times and has a value equal to 84.4561 minutes squared.

Substitute the respective values to calculate the F statistic:

\(\begin{array}{c}F = \frac{{s_1^2}}{{s_2^2}}\\ = \frac{{{{\left( {13.97} \right)}^2}}}{{{{\left( {9.19} \right)}^2}}}\\ = 2.311\end{array}\)

05

State the critical value and the p-value

The value of the numerator degrees of freedom is equal to:

\(\begin{array}{c}{n_1} - 1 = 17 - 1\\ = 16\end{array}\)

The value of the denominator degrees of freedom is equal to:

\(\begin{array}{c}{n_2} - 1 = 12 - 1\\ = 11\end{array}\)

For the F test, the critical value corresponding to the right-tail is considered.

The critical value can be obtained using the F-distribution table with numerator degrees of freedom equal to 16and denominator degrees of freedom equal to 11 for a right-tailed test.

The level of significance is equal to:

\(\begin{array}{c}\frac{\alpha }{2} = \frac{{0.05}}{2}\\ = 0.025\end{array}\)

Thus, the critical value is equal to 3.3044.

The two-tailed p-value for F equal to 2.311 is equal to 0.1631.

06

Conclusion

Since the test statistic value is less than the critical value and the p-value is greater than 0.05, the null hypothesis fails to be rejected.

Thus, there is enough evidence to supportthe claimthat the variation of the times between eruptions has changed

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Independent and Dependent Samples Which of the following involve independent samples?

a. Data Set 14 鈥淥scar Winner Age鈥 in Appendix B includes pairs of ages of actresses and actors at the times that they won Oscars for Best Actress and Best Actor categories. The pair of ages of the winners is listed for each year, and each pair consists of ages matched according to the year that the Oscars were won.

b. Data Set 15 鈥淧residents鈥 in Appendix B includes heights of elected presidents along with the heights of their main opponents. The pair of heights is listed for each election.

c. Data Set 26 鈥淐ola Weights and Volumes鈥 in Appendix B includes the volumes of the contents in 36 cans of regular Coke and the volumes of the contents in 36 cans of regular Pepsi.

Verifying requirements in the largest clinical trial ever conducted, 401,974 children were randomly assigned to two groups. The treatment group considered of 201,229 children given the sulk vaccine for polio, and 33 of those children developed polio. The other 200,745 children were given a placebo, and 115 of those children developed polio. If we want to use the methods of this section to test the claim that the rate of polio is less for children given the sulk vaccine, are the requirements for a hypothesis test satisfied? Explain.

Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9-1 along with 鈥淭able鈥 answers based on Table A-3 with df equal to the smaller of and)

Regular Coke and Diet Coke Data Set 26 鈥淐ola Weights and Volumes鈥 in Appendix B includes weights (lb) of the contents of cans of Diet Coke (n= 36, x= 0.78479 lb, s= 0.00439 lb) and of the contents of cans of regular Coke (n= 36, x= 0.81682 lb, s= 0.00751 lb).

a. Use a 0.05 significance level to test the claim that the contents of cans of Diet Coke have weights with a mean that is less than the mean for regular Coke.

b. Construct the confidence interval appropriate for the hypothesis test in part (a).

c. Can you explain why cans of Diet Coke would weigh less than cans of regular Coke?

Notation for the sample data given in exercise 1, consider the salk vaccine treatment group to be the first sample. Identify the values of \({{\bf{n}}_{\bf{1}}}{\bf{,}}{{\bf{\hat p}}_{\bf{1}}}{\bf{,}}{{\bf{\hat q}}_{\bf{1}}}{\bf{,}}{{\bf{n}}_{\bf{2}}}{\bf{,}}{{\bf{\hat p}}_{\bf{2}}}{\bf{,}}{{\bf{\hat q}}_{\bf{2}}}{\bf{,\bar p}}\) and \({\bf{\bar q}}\). Round all values so that they have six significant digits.

In Exercises 5鈥20, assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9-1 along with 鈥淭able鈥 answers based on Table A-3 with df equal to the smaller of n1鈭1 and n2鈭1.)Color and Cognition Researchers from the University of British Columbia conducted a study to investigate the effects of color on cognitive tasks. Words were displayed on a computer screen with background colors of red and blue. Results from scores on a test of word recall are given below. Higher scores correspond to greater word recall.

a. Use a 0.05 significance level to test the claim that the samples are from populations with the same mean.

b. Construct a confidence interval appropriate for the hypothesis test in part (a). What is it about the confidence interval that causes us to reach the same conclusion from part (a)?

c. Does the background color appear to have an effect on word recall scores? If so, which color appears to be associated with higher word memory recall scores?

Red Background n = 35, x = 15.89, s = 5.90

Blue Background n = 36, x = 12.31, s = 5.48

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.