Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

In Exercises 5–20, conduct the hypothesis test and provide the test statistic and the P-value and, or critical value, and state the conclusion.

Police Calls Repeat Exercise 11 using these observed frequencies for police calls received during the month of March: Monday (208); Tuesday (224); Wednesday (246); Thursday (173); Friday (210); Saturday (236); Sunday (154). What is a fundamental error with this analysis?

Short Answer

Expert verified

There is enough evidence to conclude that the police calls do not occur equally frequently on the different days of the week.

Because March has 31 days, there is a fundamental inaccuracy in the presented observations: not all of the days occur an equal number of times. Some days will appear four times in a month, while others will appear five times.

As a result, the number of calls on days that occur 5 times will be higher than on other days. As a result, the provided analysis does not appear to be very applicable.

Step by step solution

01

Given information

The observed frequencies of the police calls on the 7 days of the week of in March are recorded.

It is expected that the calls occur equally frequently on the 7 days of the week.

02

Check the requirements

Assume the recordings are taken from randomly selected experimental units.

Let the serial numbers from 1 to 7 denote the seven days of the week starting from Monday.

Let O denote the observed frequencies of the police calls.

The following values are obtained:

\(\begin{aligned}{l}{O_1} = 208\\{O_2} = 224\\{O_3} = 246\\{O_4} = 173\\{O_5} = 210\\{O_6} = 236\\{O_7} = 154\end{aligned}\)

The sum of all observed frequencies is computed below:

\(\begin{aligned}{c}n = 208 + 224 + .... + 154\\ = 1451\end{aligned}\)

Let E denote the expected frequencies. It is given that the days are expected to occur with the same frequency on each day.

The expected frequencies for each of the 7 days are equal to:

\(\begin{aligned}{c}E = \frac{{1451}}{7}\\ = 207.2857\end{aligned}\)

As the expected frequencies are all greater than 5, the requirements of the test are satisfied.

03

State the hypotheses

The null hypothesis for conducting the given test is as follows:

The police calls occur equally frequently on the different days of the week.

The alternative hypothesis is as follows:

The police calls do not occur equally frequently on the different days of the week.

04

Compute the test statistic

The table below shows the necessary calculations:

Day

O

E

\(\left( {O - E} \right)\)

\({\left( {O - E} \right)^2}\)

\(\frac{{{{\left( {O - E} \right)}^2}}}{E}\)

Monday

208

207.2857

0.714286

0.510204

0.002461

Tuesday

224

207.2857

16.71429

279.3673

1.34774

Wednesday

246

207.2857

38.71429

1498.796

7.23058

Thursday

173

207.2857

-34.2857

1175.51

5.670966

Friday

210

207.2857

2.714286

7.367347

0.035542

Saturday

236

207.2857

28.71429

824.5102

3.977651

Sunday

154

207.2857

-53.2857

2839.367

13.69784

The value of the test statistic is equal to:

\[\begin{aligned}{c}{\chi ^2} = \sum {\frac{{{{\left( {O - E} \right)}^2}}}{E}} \;\\ = 0.002461 + 1.34774 + ... + 13.69784\\ = 31.96278\end{aligned}\]

Thus,\({\chi ^2} = 31.963\).

Let k be the number of days which are 7.

The degrees of freedom for\({\chi ^2}\)is computed below:

\(\begin{aligned}{c}df = k - 1\\ = 7 - 1\\ = 6\end{aligned}\)

The critical value of\({\chi ^2}\)at\(\alpha = 0.01\)with 6 degrees of freedom is equal to 16.812.

The p-value is equal to,

\(\begin{aligned}{c}p - value = P\left( {{\chi ^2} > 31.963} \right)\\ = 0.000\end{aligned}\)

Since the test statistic value is greater than the critical value and the p-value is less than 0.01, the null hypothesis is rejected.

05

State the conclusion

There is enough evidence to conclude that the police calls do not occur evenly on the different days of the week.

06

Error in the analysis

A fundamental error in the given observations is that not all the days occur an equal number of times because March has 31 days. Some days will occur 4 times while others will occur 5 times in the month.

Thus, the number of calls on the days that occur 5 times will be more as compared to the other days.

So, the given analysis does not seem appropriate.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

In Exercises 5–20, conduct the hypothesis test and provide the test statistic and the P-value and , or critical value, and state the conclusion.

World Series Games The table below lists the numbers of games played in 105 Major League Baseball (MLB) World Series. This table also includes the expected proportions for the numbers of games in a World Series, assuming that in each series, both teams have about the same chance of winning. Use a 0.05 significance level to test the claim that the actual numbers of games fit the distribution indicated by the expected proportions.

Games Played

4

5

6

7

World Series Contests

21

23

23

38

Expected Proportion

2/16

4/16

5/16

5/16

In Exercises 5–20, conduct the hypothesis test and provide the test statistic and the P-value and, or critical value, and state the conclusion.

Kentucky Derby The table below lists the frequency of wins for different post positions through the 141st running of the Kentucky Derby horse race. A post position of 1 is closest to the inside rail, so the horse in that position has the shortest distance to run. (Because the number of horses varies from year to year, only the first 10 post positions are included.) Use a 0.05 significance level to test the claim that the likelihood of winning is the same for the different post positions. Based on the result, should bettors consider the post position of a horse racing in the Kentucky Derby?

Post Position

1

2

3

4

5

6

7

8

9

10

Wins

19

14

11

15

15

7

8

12

5

11

Cybersecurity The table below lists leading digits of 317 inter-arrival Internet traffic times for a computer, along with the frequencies of leading digits expected with Benford’s law (from Table 11-1 in the Chapter Problem).

a. Identify the notation used for observed and expected values.

b. Identify the observed and expected values for the leading digit of 2.

c. Use the results from part (b) to find the contribution to the\({\chi ^2}\)test statistic from the category representing the leading digit of 2.

Leading Digit

1

2

3

4

5

6

7

8

9

Benford’s

Law

30.1%

17.6%

12.5%

9.7%

7.9%

6.7%

5.8%

5.1%

4.6%

Leading Digits

of Inter-Arrival

Traffic Times

76

62

29

33

19

27

28

21

22

Benford’s Law. According to Benford’s law, a variety of different data sets include numbers with leading (first) digits that follow the distribution shown in the table below. In Exercises 21–24, test for goodness-of-fit with the distribution described by Benford’s law.

Leading Digits

Benford's Law: Distributuon of leading digits

1

30.10%

2

17.60%

3

12.50%

4

9.70%

5

7.90%

6

6.70%

7

5.80%

8

5.10%

9

4.60%

Tax Cheating? Frequencies of leading digits from IRS tax files are 152, 89, 63, 48, 39, 40, 28, 25, and 27 (corresponding to the leading digits of 1, 2, 3, 4, 5, 6, 7, 8, and 9, respectively, based on data from Mark Nigrini, who provides software for Benford data analysis). Using a 0.05 significance level, test for goodness-of-fit with Benford’s law. Does it appear that the tax entries are legitimate?

Refer to the data given in Exercise 1 and assume that the requirements are all satisfied and we want to conduct a hypothesis test of independence using the methods of this section. Identify the null and alternative hypotheses.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free