Braking Reaction Times: Hypothesis Test Use the sample data from Exercise 6 with a 0.01 significance level to test the claim that males and females have the same mean.

Short Answer

Expert verified

There is not enough evidence to support the claim that the mean of the brake reaction times in females and males arethe same at 0.01 significance level.

Step by step solution

01

Given information

Refer to Exercise 6 for the brake reaction times in males and females.

The significance level is 0.01.

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 sampled number of males and females are given:

\(\begin{array}{l}{n_M} = 36\\{n_F} = 36\end{array}\)

02

State the hypotheses

The hypotheses for testing the claim that males and females have the same mean are statedbelow:

\(\begin{array}{l}{H_o}:{\mu _M} - {\mu _F} = 0\\{H_a}:{\mu _M} - {\mu _F} \ne 0\end{array}\)

Here,\({\mu _M},{\mu _F}\)are the true mean values of braking reaction times for males and females, respectively.

Thus, the test is two-tailed.

03

Determine the statistics from the data

The sample mean for males and females is computed below:

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

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

The sample standard deviation for males and females is computed below:

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

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

04

Compute the test statistic

The test statistic is computedbelow:

\(\begin{aligned} t &= \frac{{\left( {{{\bar x}_M} - {{\bar x}_F}} \right) - \left( {{\mu _M} - {\mu _F}} \right)}}{{\sqrt {\frac{{s_M^2}}{{{n_M}}} + \frac{{s_F^2}}{{{n_F}}}} }}\\ &= \frac{{\left( {44.3611 - 54.2778} \right) - 0}}{{\sqrt {\frac{{{{9.4722}^2}}}{{36}} + \frac{{{{15.6106}^2}}}{{36}}} }}\\ &= - 3.2585\end{aligned}\)

The test statistic is –3.2585.

05

Compute the degree of freedom

The degree of freedom is computedbelow:

\(\begin{aligned} df &= \frac{{{{\left( {\frac{{s_M^2}}{{{n_M}}} + \frac{{s_F^2}}{{{n_F}}}} \right)}^2}}}{{\frac{{{{\left( {\frac{{s_M^2}}{{{n_M}}}} \right)}^2}}}{{{n_M} - 1}} + \frac{{{{\left( {\frac{{s_F^2}}{{{n_F}}}} \right)}^2}}}{{{n_F} - 1}}}}\\ &= \frac{{{{\left( {\frac{{{{9.4722}^2}}}{{36}} + \frac{{{{15.6106}^2}}}{{36}}} \right)}^2}}}{{\frac{{{{\left( {\frac{{{{9.4722}^2}}}{{36}}} \right)}^2}}}{{36 - 1}} + \frac{{{{\left( {\frac{{{{15.6106}^2}}}{{36}}} \right)}^2}}}{{36 - 1}}}}\\ &= 57.696\\ &\approx 58\end{aligned}\)

Thus, the degree of freedom is 58.

06

Determine the conclusion

The p-value is obtained from the t-distribution table at 58 degrees of freedom.

\(\begin{aligned} p - value &= 2P\left( {T < - 3.2585} \right)\\ &= 0.0019\end{aligned}\)

Since the p-value is lesser than 0.01, the null hypothesis is rejected.

Thus, there is not enough evidence to support the claim that the braking reaction time has the same mean for males and females.

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