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Braking Reaction Times: Confidence Intervals

a. Construct a 99% confidence interval estimate of the mean braking reaction time of males, construct a 99% confidence interval estimate of the mean braking reaction time of females, then compare the results.

b. Construct a 99% confidence interval estimate of the difference between the mean braking reaction time of males and the mean braking reaction time of females.

c. Which is better for comparing the mean reaction times of males and females: the results from part (a) or the results from part (b)?

Short Answer

Expert verified

a. The 99% confidence interval for the mean braking reaction time for males is between 40.1 and 48.7. The 99% confidence interval for the mean braking reaction time for females is between 47.2 and 61.4. The mean braking time of females is not different from that of males.

b. The 99% confidence interval for the mean difference between the braking reaction time for males and females is between –1.8 and –18.0.

c. The results in part (b) are better than in part (a).

Step by step solution

01

Given information

Refer to Exercise 6 for the data on the braking reaction times of males and females.

Males

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

The number of males and females sampled:

\(\begin{aligned} {n_M} &= {n_F}\\ &= 36\end{aligned}\)

02

Determine the sample measures for males and females

Sample mean time for males:

\(\begin{aligned} {{\bar x}_M} &= \frac{{\sum {{x_i}} }}{{{n_m}}}\\ &= \frac{{28 + 30 + 31 + ... + 63}}{{36}}\\ &= 44.3611\end{aligned}\)

Sample mean time for females:

\(\begin{aligned}{\bar x}_F &= \frac{{\sum {{x_j}} }}{{{n_F}}}\\ &= \frac{{22 + 24 + 34 + ... + 80}}{{36}}\\ &= 54.2778\end{aligned}\)

The sample standard deviation for males is computed below:

\(\begin{aligned} {s_M} &= \sqrt {\frac{{\sum {{{\left( {{x_i} - {{\bar x}_M}} \right)}^2}} }}{{{n_M} - 1}}} \\ &= \sqrt {\frac{{{{\left( {28 - 44.36} \right)}^2} + {{\left( {30 - 44.36} \right)}^2} + ... + {{\left( {63 - 44.36} \right)}^2}}}{{36 - 1}}} \\ &= 9.4722\end{aligned}\)

The sample standard deviation for females is computed below:

\(\begin{aligned} {s_F} &= \sqrt {\frac{{\sum {{{\left( {{x_j} - {{\bar x}_F}} \right)}^2}} }}{{{n_F} - 1}}} \\ &= \sqrt {\frac{{{{\left( {22 - 54.28} \right)}^2} + {{\left( {24 - 54.28} \right)}^2} + ... + {{\left( {80 - 54.28} \right)}^2}}}{{36 - 1}}} \\ &= 15.6106\end{aligned}\)

03

Determine the one sample confidence interval

a.

Confidence interval for the mean reaction time of males:

The 99% confidence interval implies that the significance level is 0.01.

The degree of freedom is computedbelow:

\(\begin{aligned} df &= {n_M} - 1\\ &= 36 - 1\\ &= 35\end{aligned}\)

Using the t-distribution table at 35 degrees of freedom and 0.01significance level, you get the two-tailed critical value as\({t_{\frac{\alpha }{2}}} = 2.7238\).

The margin of error is computed below:

\(\begin{aligned} E &= {t_{\frac{\alpha }{2}}} \times \frac{{{s_M}}}{{\sqrt {{n_M}} }}\\ &= 2.7238 \times \frac{{9.4722}}{{\sqrt {36} }}\\ &= 4.3001\end{aligned}\)

The 99% confidence interval is computed below:

\(\begin{aligned}{l}{{\bar x}_M} - E < {\mu _M} < {{\bar x}_M} + E &= 44.3611 - 4.3001 < {\mu _M} < 44.3611 + 4.3001\\\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\; &= 40.0610 < {\mu _M} < 48.6612\end{aligned}\)

Thus, the 99% confidence interval for the mean braking reaction time for males is between 40.1 and 48.7.

Confidence interval for the mean reaction time of females:

The degree of freedom is computed below:

\(\begin{aligned}{c}df &= {n_F} - 1\\ &= 36 - 1\\ &= 35\end{aligned}\)

Using the t-distribution table at 35 degrees of freedom, you get the critical value as\({t_{\frac{\alpha }{2}}} = 2.7238\).

The margin of error is computed below:

\(\begin{aligned} E &= {t_{\frac{\alpha }{2}}} \times \frac{{{s_F}}}{{\sqrt {{n_F}} }}\\ &= 2.7238 \times \frac{{15.6106}}{{\sqrt {36} }}\\ &= 7.0867\end{aligned}\)

The 99% confidence interval is computed below:

\(\begin{aligned}{l}{{\bar x}_F} - E < {\mu _F} < {{\bar x}_F} + E &= 54.2778 - 7.0867 < {\mu _F} < 54.2778 + 7.0867\\\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\; &= 47.1911 < {\mu _F} < 61.3645\end{aligned}\)

Thus, the 99% confidence interval for the mean braking reaction time for females is between 47.2 and 61.4.

Since the two intervals overlap, it can be concluded that the mean braking time of females is not significantly different from that of males.

04

Determine the confidence interval for two sample means

b.

The degree of freedom is computedbelow:

\(\begin{aligned}{c}df &= \frac{{{{\left( {\frac{{s_M^2}}{{{n_M}}} + \frac{{s_F^2}}{{{n_F}}}} \right)}^2}}}{{\frac{{{{\left( {\frac{{s_M^2}}{{{n_M}}}} \right)}^2}}}{{{n_M} - 1}} + \frac{{{{\left( {\frac{{s_F^2}}{{{n_F}}}} \right)}^2}}}{{{n_F} - 1}}}}\\ &= \frac{{{{\left( {\frac{{{{9.4722}^2}}}{{36}} + \frac{{{{15.6106}^2}}}{{36}}} \right)}^2}}}{{\frac{{{{\left( {\frac{{{{9.4722}^2}}}{{36}}} \right)}^2}}}{{36 - 1}} + \frac{{{{\left( {\frac{{{{15.6106}^2}}}{{36}}} \right)}^2}}}{{36 - 1}}}}\\ &= 58\end{aligned}\)

Thus, the degree of freedom is 58.

Using the t-distribution table at 58 degrees of freedom, you get the critical value as\({t_{\frac{\alpha }{2}}} = 2.6633\) .

The margin of error is computed below:

\(\begin{aligned} E &= {t_{\frac{\alpha }{2}}} \times \sqrt {\frac{{s_M^2}}{{{n_M}}} + \frac{{s_F^2}}{{{n_F}}}} \\ &= 2.6633 \times \sqrt {\frac{{{{9.4722}^2}}}{{36}} + \frac{{{{15.6106}^2}}}{{36}}} \\ &= 8.1051\end{aligned}\)

The 99% confidence interval for the mean difference is computedbelow:

\(\begin{aligned} C.I. &= \left( {{{\bar x}_M} - {{\bar x}_F}} \right) - E < {\mu _M} - {\mu _F} < \left( {{{\bar x}_M} - {{\bar x}_F}} \right) + E\\ &= \left( {44.3611 - 54.2778} \right) - 8.1051 < {\mu _M} - {\mu _F} < \left( {44.3611 - 54.2778} \right) + 8.1051\\\; &= - 18.0218 < {\mu _M} - {\mu _F} < - 1.8116\\ &\approx - 18.02 < {\mu _M} - {\mu _F} < - 1.8\end{aligned}\)

Thus, the 99% confidence interval for the mean difference between braking reaction time for males and females is between –18.0 and –1.8.

The difference of the two means implies that the mean reaction time of males is less than that of females. Since it does not include zero, it also indicates that there is a significant difference between the two reaction times of the two groups.

05

Compare the results in part (a) and part (b)

The result in part (b) isbetter as it helps to compare the reaction times ofmales and females.

On the other hand, the result in part (a) only estimates the mean range in individual groups.

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