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91影视

Family Heights. In Exercises 1鈥5, use the following heights (in.) The data are matched so that each column consists of heights from the same family.

Father

68.0

68.0

65.5

66.0

67.5

70.0

68.0

71.0

Mother

64.0

60.0

63.0

59.0

62.0

69.0

65.5

66.0

Son

71.0

64.0

71.0

68.0

70.0

71.0

71.7

71.0

Confidence Interval Construct a 95% confidence interval estimate of the mean height of sons. Write a brief statement that interprets the confidence interval.

Short Answer

Expert verified

The 95% confidence interval estimate is between 67.6 in and 71.9 in.

There is 95% confidence that the true value of the mean for the population mean of the height of sons would fall between 67.6 in and 71.9 in.

Step by step solution

01

Given information

The heights of three members of families are studied.

The data of son鈥檚 height is given as follows:

Son

71.0

64.0

71.0

68.0

70.0

71.0

71.7

71.0

02

Identify the formula to calculate the 95% confidence interval of thepopulation mean

Thus, the 95% confidence interval is

\(\bar x - E < \mu < \bar x + E\).

Here,\(\bar x\)isthe sample mean, and E is the margin of error.

03

Determine the statistic measures from the sample points

For 8 (n) samples, the sample mean is calculated below:

\(\begin{aligned}{c}\bar x &= \frac{{\sum {{x_i}} }}{n}\\ &= \frac{{71 + 64 + ... + 71}}{8}\\ &= 69.7\;{\rm{in}}\end{aligned}\)

The sample standard deviation is calculated below:

\(\begin{aligned}{c}s &= \sqrt {\frac{{\sum {{{\left( {{x_i} - \bar x} \right)}^2}} }}{{n - 1}}} \\ &= \sqrt {\frac{{{{\left( {71 - 69.7} \right)}^2} + {{\left( {64 - 69.7} \right)}^2} + ... + {{\left( {71 - 69.7} \right)}^2}}}{{8 - 1}}} \\ &= 2.57\;{\rm{in}}{\rm{.}}\end{aligned}\)

04

Obtain the confidence interval

The 95% confidence level implies a 0.05 significance level.

The degree of freedom is

\(\begin{aligned}{c}df &= n - 1\\ &= 8 - 1\\ &= 7.\end{aligned}\)

The critical value of 2.364 is obtained from the t-distribution table at 7 degrees of freedomand 0.05 significance level.

The margin of error is computed below:

\(\begin{aligned} E &= {t_{\frac{\alpha }{2}}} \times \frac{s}{{\sqrt n }}\\ &= 2.364 \times \frac{{2.57}}{{\sqrt 8 }}\\ &= 2.14\\ &\approx 2.1\end{aligned}\)

Thus, the 95% confidence interval is as calculated below:

\(\begin{aligned}{l}\bar x - E < \mu < \bar x + E &= 69.7 - 2.1 < \mu < 69.7 + 2.1\\\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\; &= 67.6 < \mu < 71.9\end{aligned}\)

Thus, the 95% confidence interval for the mean height of sons is (67.6 in, 71.9 in).

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28

30

31

34

34

36

36

36

36

38

39

40

40

40

40

41

41

41

42

42

44

46

47

48

48

49

51

53

54

54

56

57

60

61

61

63

Females

22

24

34

36

36

37

39

41

41

43

43

45

45

47

53

54

54

55

56

57

57

57

58

61

62

63

66

67

68

71

72

76

77

78

79

80

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\({n_1} - 1\)and\({n_2} - 1\).) Car and Taxi Ages When the author visited Dublin, Ireland (home of Guinness Brewery employee William Gosset, who first developed the t distribution), he recorded the ages of randomly selected passenger cars and randomly selected taxis. The ages can be found from the license plates. (There is no end to the fun of traveling with the author.) The ages (in years) are listed below. We might expect that taxis would be newer, so test the claim that the mean age of cars is greater than the mean age of taxis.

Car

Ages

4

0

8

11

14

3

4

4

3

5

8

3

3

7

4

6

6

1

8

2

15

11

4

1

1

8

Taxi Ages

8

8

0

3

8

4

3

3

6

11

7

7

6

9

5

10

8

4

3

4

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