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Braking Reaction Times: Boxplots Use the same data from Exercise 6 and use the same scale to construct a boxplot of the braking reaction times of males and another boxplot for the braking reaction times of females. What do the boxplots suggest?

Short Answer

Expert verified

The two box plots are shown below:

The data for the male and female braking reaction times appear to be similar. In general, the male braking reaction times are lower than the female braking reaction times.

Step by step solution

01

Given information

Two samples of braking reaction times of males and females are considered.

02

Computation of summary statistics for male braking reaction times

The summary statistics for male braking reaction times are computed below:

The minimum value in the sample is equal to is 28.

The maximum value in the sample is 63.

The first quartile is equal to the 25th percentile.

\({Q_1} = {P_{25}}\)

The formula to calculate the percentile is equal to:

\(L = \frac{k}{{100}} \times n\)

Here, L is the locator of the value

k is the percentile of the value

n is the total number of values

So, for k=25 and n=36, the value of L is equal to:

\(\begin{array}{c}L = \frac{k}{{100}} \times n\\ = \frac{{25}}{{100}} \times 36\\ = 9\end{array}\)

Since L is a whole number, compute the sum of the 9thand the 10th observation and divide by 2.

\(\begin{array}{c}{P_{25}} = \frac{{{9^{th}}obs + {{10}^{th}}obs}}{2}\\ = \frac{{36 + 38}}{2}\\ = 37\end{array}\)

Thus, the first quartile of the sample is equal to 37.

Similarly, the second quartile is the 50th percentile.

\({Q_2} = {P_{50}}\)

So, for k=50 and n=36, the value of L is equal to:

\(\begin{array}{c}L = \frac{k}{{100}} \times n\\ = \frac{{50}}{{100}} \times 36\\ = 18\end{array}\)

Since L is a whole number, compute the sum of the 18th and the 19th observation and divide by 2.

\(\begin{array}{c}{P_{50}} = \frac{{{{18}^{th}}obs + {{19}^{th}}obs}}{2}\\ = \frac{{41 + 42}}{2}\\ = 41.5\end{array}\)

Thus, the second quartile/median is equal to 41.5.

Similarly, the third quartile is the 75th percentile.

\({Q_3} = {P_{75}}\)

So, for k=75 and n=36, the value of L is equal to:

\(\begin{array}{c}L = \frac{k}{{100}} \times n\\ = \frac{{75}}{{100}} \times 36\\ = 37\end{array}\)

Since L is a whole number, compute the sum of the 27th and the 28th observation and divide by 2.

\(\begin{array}{c}{P_{75}} = \frac{{{{27}^{th}}obs + {{28}^{th}}obs}}{2}\\ = \frac{{51 + 53}}{2}\\ = 52\end{array}\)

Thus, the third quartile is equal to 52.

Thus, the 5 number summary for the male braking reaction time is as follows:

Minimum Value: 28

First Quartile: 37

Median: 41.5

Third Quartile: 52

Maximum Value: 63

03

Computation of summary statistics for female braking reaction times

The summary statistics for female braking reaction times are computed below:

The minimum value in the sample is equal to is 22.

The maximum value in the sample is 80.

Note that the value of the locator for each percentile will remain the same as above because the value of n is the same (36).

The first quartile is equal to the 25th percentile.

\({Q_1} = {P_{25}}\)

\(\begin{array}{c}{P_{25}} = \frac{{{9^{th}}obs + {{10}^{th}}obs}}{2}\\ = \frac{{41 + 43}}{2}\\ = 42\end{array}\)

Thus, the first quartile of the sample is equal to 42.

Similarly, the second quartile is the 50th percentile.

\({Q_2} = {P_{50}}\)

\(\begin{array}{c}{P_{50}} = \frac{{{{18}^{th}}obs + {{19}^{th}}obs}}{2}\\ = \frac{{55 + 56}}{2}\\ = 55.5\end{array}\)

Thus, the second quartile/median is equal to 55.5

Similarly, the third quartile is the 75th percentile.

\({Q_3} = {P_{75}}\)

\(\begin{array}{c}{P_{75}} = \frac{{{{27}^{th}}obs + {{28}^{th}}obs}}{2}\\ = \frac{{66 + 67}}{2}\\ = 66.5\end{array}\)

Thus, the third quartile is equal to 66.5

Thus, the 5 number summary for the female braking reaction time is as follows:

Minimum Value: 22

First Quartile: 42

Median: 55.5

Third Quartile: 66.5

Maximum Value: 80

04

Construction of Box Plots

Now using the five-number summary statistics, construct the box plots for female braking reaction times and male braking reaction times on the same scale.

Take the values of the braking reaction times on the vertical scale

The boxplots are shown below:

05

Analysis of box plots

The following features can be observed:

  • The minimum value of the braking reaction time is ower for women than men.
  • The maximum value of the braking reaction time is higher for women than men.
  • The width of the boxplot corresponding to women is greater than the width of the boxplot corresponding to men. This implies that there is a greater variability present in the breaking times of women as compared to that of men.
  • For males, the median of the braking reaction time lies towards the bottom of the boxplot. Thus, the data appears to be positively skewed (skewed to the right).
  • For females, the median of the braking reaction time lies in the centre. Thus, the distribution is symmetric.

Therefore, overall there are no significant differences between the two samples.

The braking reaction times of males are generally lower than the braking reaction times of females.

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Most popular questions from this chapter

Hypothesis Test Use a 0.05 significance level to test the claim that differences between heights of fathers and their sons have a mean of 0 in.

Hypothesis Tests and Confidence Intervals for Hemoglobin

a. Exercise 2 includes a confidence interval. If you use the P-value method or the critical value method from Part 1 of this section to test the claim that women and men have the same mean hemoglobin levels, will the hypothesis tests and the confidence interval result in the same conclusion?

b. In general, if you conduct a hypothesis test using the methods of Part 1 of this section, will the P-value method, the critical value method, and the confidence interval method result in the same conclusion?

c. Assume that you want to use a 0.01 significance level to test the claim that the mean haemoglobin level in women is lessthan the mean hemoglobin level in men. What confidence level should be used if you want to test that claim using a confidence interval?

A sample size that will ensure a margin of error of at most the one specified.

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 n1鈭1 and n2鈭1.)Color and Cognition Researchers from the University of British Columbia conducted a study to investigate the effects of color on cognitive tasks. Words were displayed on a computer screen with background colors of red and blue. Results from scores on a test of word recall are given below. Higher scores correspond to greater word recall.

a. Use a 0.05 significance level to test the claim that the samples are from populations with the same mean.

b. Construct a confidence interval appropriate for the hypothesis test in part (a). What is it about the confidence interval that causes us to reach the same conclusion from part (a)?

c. Does the background color appear to have an effect on word recall scores? If so, which color appears to be associated with higher word memory recall scores?

Red Background n = 35, x = 15.89, s = 5.90

Blue Background n = 36, x = 12.31, s = 5.48

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 n1鈭1 and n2鈭1.)

Color and Creativity Researchers from the University of British Columbia conducted trials to investigate the effects of color on creativity. Subjects with a red background were asked to think of creative uses for a brick; other subjects with a blue background were given the same task. Responses were scored by a panel of judges and results from scores of creativity are given below. Higher scores correspond to more creativity. The researchers make the claim that 鈥渂lue enhances performance on a creative task.鈥

a. Use a 0.01 significance level to test the claim that blue enhances performance on a creative task.

b. Construct the confidence interval appropriate for the hypothesis test in part (a). What is it about the confidence interval that causes us to reach the same conclusion from part (a)?

Red Background: n = 35, x = 3.39, s = 0.97

Blue Background: n = 36, x = 3.97, s = 0.63

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