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In Exercises 5鈥16, use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal.

Heights of Mothers and Daughters Listed below are heights (in.) of mothers and their first daughters. The data are from a journal kept by Francis Galton. (See Data Set 5 鈥淔amilyHeights鈥 in Appendix B.) Use a 0.05 significance level to test the claim that there is no difference in heights between mothers and their first daughters.

Height of Mother

68

60

61

63.5

69

64

69

64

63.5

66

Height of Daughter

68.5

60

63.5

67.5

68

65.5

69

68

64.5

63

Short Answer

Expert verified

There is insufficient evidence to reject the claim that there is no difference in heights between mothers and their first daughters.

Step by step solution

01

Given information

The heights of pairs of mothers and the first daughters are recorded.

02

Hypotheses

It is claimed thatthere is no difference in heights between mothers and their first daughters.

Corresponding to the given claim, the following hypotheses are set up:

Null Hypothesis: The mean of the difference between the heights of the mother and the first daughter is equal to 0.

\({H_0}:{\mu _d} = 0\)

Alternative Hypothesis: The mean of the difference between the heights of the mother and the first daughter is not equal to 0.

\[{H_1}:{\mu _d} \ne 0\]

The test is two-tailed.

03

Differences in the values of each matched pair

The following table shows the differences in the heights of the mother and the first daughter for each matched pair:

Mother

68

60

61

63.5

69

64

69

64

63.5

66

Daughter

68.5

60

63.5

67.5

68

65.5

69

68

64.5

63

Differences(d)

-0.5

0

-2.5

-4

1

-1.50

0

-4

-1

3

04

Mean and standard deviation of the differences

The number of pairs (n) is equal to 10.

The mean value of the differences is computed below:

\(\begin{array}{c}\bar d = \frac{{\left( { - 0.5} \right) + 0 + \ldots + 3}}{{10}}\\ = - 0.95\end{array}\)

The standard deviation of the differences is computed below:

\[\begin{array}{c}{s_d} = \sqrt {\frac{{\sum\limits_{i = 1}^n {{{({d_i} - \bar d)}^2}} }}{{n - 1}}} \\ = \sqrt {\frac{{{{\left( {\left( { - 0.5} \right) - \left( { - 0.95} \right)} \right)}^2} + {{\left( {0 - \left( { - 0.95} \right)} \right)}^2} + ... + {{\left( {3 - \left( { - 0.95} \right)} \right)}^2}}}{{10 - 1}}} \\ = 2.18\end{array}\]

The mean value of the differences for the population of matched pairs \(\left( {{\mu _d}} \right)\) is considered to be equal to 0.

05

Test statistic

The value of the test statistic is computed as shown:

\(\begin{array}{c}t = \frac{{\bar d - {\mu _d}}}{{\frac{{{s_d}}}{{\sqrt n }}}}\\ = \frac{{ - 0.95 - 0}}{{\frac{{2.18}}{{\sqrt {10} }}}}\\ = - 1.379\end{array}\)

The degrees of freedom are computed below:

\[\begin{array}{c}df = n - 1\\ = 10 - 1\\ = 9\end{array}\]

Referring to the t-distribution table, the critical values of t at\(\alpha = 0.05\)and degrees of freedom equal to 9 for a two-tailed test are -2.2622 and 2.2622.

The p-value of t equal to -1.379 is equal to 0.2012.

06

Conclusion

Since the test statistic value lies between the two critical values and the p-value is greater than 0.05, the null hypothesis is failed to reject.

There is insufficient evidence to reject the claim that there is no difference in heights between mothers and their first daughters.

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Most popular questions from this chapter

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?

IQ and Lead Exposure Data Set 7 鈥淚Q and Lead鈥 in Appendix B lists full IQ scores for a random sample of subjects with low lead levels in their blood and another random sample of subjects with high lead levels in their blood. The statistics are summarized on the top of the next page. Use a 0.05 significance level to test the claim that IQ scores of people with low lead

levels vary more than IQ scores of people with high lead levels.

Low Lead Level: n = 78, \(\bar x\) = 92.88462, s = 15.34451

High Lead Level: n = 21, \(\bar x\) = 86.90476, s = 8.988352

Using Confidence Intervals

a. Assume that we want to use a 0.05 significance level to test the claim that p1 < p2. Which is better: A hypothesis test or a confidence interval?

b. In general, when dealing with inferences for two population proportions, which two of the following are equivalent: confidence interval method; P-value method; critical value method?

c. If we want to use a 0.05 significance level to test the claim that p1 < p2, what confidence level should we use?

d. If we test the claim in part (c) using the sample data in Exercise 1, we get this confidence interval: -0.000508 < p1 - p2 < - 0.000309. What does this confidence interval suggest about the claim?

Magnet Treatment of Pain People spend around $5 billion annually for the purchase of magnets used to treat a wide variety of pains. Researchers conducted a study to determine whether magnets are effective in treating back pain. Pain was measured using the visual analog scale, and the results given below are among the results obtained in the study (based on data from 鈥淏ipolar Permanent Magnets for the Treatment of Chronic Lower Back Pain: A Pilot Study,鈥 by Collacott, Zimmerman, White, and Rindone, Journal of the American Medical Association, Vol. 283, No. 10). Higher scores correspond to greater pain levels.

a. Use a 0.05 significance level to test the claim that those treated with magnets have a greater mean reduction in pain than those given a sham treatment (similar to a placebo).

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

c. Does it appear that magnets are effective in treating back pain? Is it valid to argue that magnets might appear to be effective if the sample sizes are larger?

Reduction in Pain Level after Magnet Treatment: n = 20, x = 0.49, s = 0.96

Reduction in Pain Level after Sham Treatment: n = 20, x = 0.44, s = 1.4

Units of MeasureIf the values listed in Exercise 2 are changed so that they are expressed in Celsius degrees instead of Fahrenheit degrees, how are hypothesis test results affected?

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