An ANOVA test was conducted to see whether bike frame type (Type A, Type B, or Type C) had an effect on speed over a one mile distance. Test results warranted post-hoc procedures. The Tukey HSD approach was used with the following results:
$$\begin{array} { l c } \text { Group Comparison } & 98.33 \% \text { Confidence Interval } \ \text { Type A - Type B } & ( - 12.70 , - 4.29 ) \ \text { Type A - Type C } & ( - 19.63 , - 8.87 ) \ \text { Type B - Type C } & ( - 9.89 , - 1.61 ) \end{array}$$ Is there evidence that one type of bike frame is faster than the others?
Which type of frame appears To be the fastest?
A) Yes, the confidence interval results show that frame type A is the faster than B or C. B) Yes, the confidence interval results show that frame type C is the faster than A or B. C) Yes, the confidence interval results show that frame type B is the faster than A or C. D) No, there is not enough evidence to say with confidence that one frame type is faster than the others because none of the confidence intervals contain zero.

Question

An ANOVA test was conducted to see whether bike frame type (Type A, Type B, or Type C) had an effect on speed over a one mile distance. Test results warranted post-hoc procedures. The Tukey HSD approach was used with the following results:
 $$\begin{array} { l c }  \text { Group Comparison } & 98.33 \% \text { Confidence Interval } \ \text { Type A - Type B } & ( - 12.70 , - 4.29 ) \ \text { Type A - Type C } & ( - 19.63 , - 8.87 ) \ \text { Type B - Type C } & ( - 9.89 , - 1.61 ) \end{array}$$ Is there evidence that one type of bike frame is faster than the others?
 Which type of frame appears To be the fastest?
 A) Yes, the confidence interval results show that frame type A is the faster than B or C. B) Yes, the confidence interval results show that frame type C is the faster than A or B. C) Yes, the confidence interval results show that frame type B is the faster than A or C. D) No, there is not enough evidence to say with confidence that one frame type is faster than the others because none of the confidence intervals contain zero.

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The Answer of An ANOVA test was conducted to see whether bike frame type (Type A, Type B, or Type C) had an effect on speed over a one mile distance. Test results warranted post-hoc procedures. The Tukey HSD approach was used with the following results:
 $$\begin{array} { l c }  \text { Group Comparison } & 98.33 \% \text { Confidence Interval } \ \text { Type A - Type B } & ( - 12.70 , - 4.29 ) \ \text { Type A - Type C } & ( - 19.63 , - 8.87 ) \ \text { Type B - Type C } & ( - 9.89 , - 1.61 ) \end{array}$$ Is there evidence that one type of bike frame is faster than the others?
 Which type of frame appears To be the fastest?
 A) Yes, the confidence interval results show that frame type A is the faster than B or C. B) Yes, the confidence interval results show that frame type C is the faster than A or B. C) Yes, the confidence interval results show that frame type B is the faster than A or C. D) No, there is not enough evidence to say with confidence that one frame type is faster than the others because none of the confidence intervals contain zero.

An ANOVA Test Was Conducted to See Whether Bike Frame