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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.

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Most popular questions from this chapter

Questions 6–10 refer to the sample data in the following table, which describes the fate of the passengers and crew aboard the Titanic when it sank on April 15, 1912. Assume that the data are a sample from a large population and we want to use a 0.05 significance level to test the claim that surviving is independent of whether the person is a man, woman, boy, or girl.


Men

Women

Boys

Girls

Survived

332

318

29

27

Died

1360

104

35

18

Given that the P-value for the hypothesis test is 0.000 when rounded to three decimal places, what do you conclude? What do the results indicate about the rule that women and children should be the first to be saved?

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%

Author’s Computer Files The author recorded the leading digits of the sizes of the electronic document files for the current edition of this book. The leading digits have frequencies of 55, 25, 17, 24, 18, 12, 12, 3, and 4 (corresponding to the leading digits of 1, 2, 3, 4, 5, 6, 7, 8, and 9, respectively). Using a 0.05 significance level, test for goodness-of-fit with Benford’s law.

Chocolate and Happiness Use the results from part (b) of Cumulative Review Exercise 2 to construct a 99% confidence interval estimate of the percentage of women who say that chocolate makes them happier. Write a brief statement interpreting the result.

The accompanying TI-83/84 Plus calculator display results from thehypothesis test described in Exercise 1. Assume that the hypothesis test requirements are allsatisfied. Identify the test statistic and the P-value (expressed in standard form and rounded tothree decimal places), and then state the conclusion about the null hypothesis.

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

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