/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q7CRE Ages of Moviegoers聽The table be... [FREE SOLUTION] | 91影视

91影视

Ages of MoviegoersThe table below shows the distribution of the ages of moviegoers(based on data from the Motion Picture Association of America). Use the data to estimate themean, standard deviation, and variance of ages of moviegoers.Hint:For the open-ended categoryof 鈥60 and older,鈥 assume that the category is actually 60鈥80.

Age

2-11

12-17

18-24

25-39

40-49

50-59

60 and older

Percent

7

15

19

19

15

11

14

Short Answer

Expert verified

The value of the mean is equal to 35.17 years.

The value of the standard deviation is equal to 19.64 years.

The value of the variance is equal to 385.69 years.

Step by step solution

01

Given information

The distribution of the ages of moviegoers is provided.

02

Compute the midpoints

Consider the last class interval 鈥60 and older鈥 as 60-80.

The midpoint of a class interval has the following expression:

\({\rm{Midpoint}} = \frac{{{\rm{Lower}}\;{\rm{limit}} + {\rm{Upper}}\;{\rm{limit}}}}{2}\)

Thus, the midpoints of the class intervals are computed as shown:

Class Interval

Midpoint

2-11

\(\begin{array}{r}{\rm{Midpoint}} = \frac{{2 + 11}}{2}\\ = 6.5\end{array}\)

12-17

\(\begin{array}{c}{\rm{Midpoint}} = \frac{{12 + 17}}{2}\\ = 14.5\end{array}\)

18-24

\(\begin{array}{c}{\rm{Midpoint}} = \frac{{18 + 24}}{2}\\ = 21\end{array}\)

25-39

\(\begin{array}{c}{\rm{Midpoint}} = \frac{{25 + 39}}{2}\\ = 32\end{array}\)

40-49

\(\begin{array}{c}{\rm{Midpoint}} = \frac{{40 + 49}}{2}\\ = 44.5\end{array}\)

50-59

\(\begin{array}{c}{\rm{Midpoint}} = \frac{{50 + 59}}{2}\\ = 54.5\end{array}\)

60-80

\(\begin{array}{c}{\rm{Midpoint}} = \frac{{60 + 80}}{2}\\ = 70\end{array}\)

03

Calculate the mean

The following table shows the calculations required to compute the mean value:

Class Interval

f

Midpoint(x)

fx

2-11

7

6.5

45.5

12-17

15

14.5

217.5

18-24

19

21

399

25-39

19

32

608

40-49

15

44.5

667.5

50-59

11

54.5

599.5

60-80

14

70

980

\(\sum f = N = 100\)

\(\sum {x = 243} \)

\(\sum {fx = 3517} \)

Themean value is computed below:

\(\begin{array}{c}\bar x = \frac{{\sum\limits_{i = 1}^n {f{x_i}} }}{N}\\ = \frac{{3517}}{{100}}\\ = 35.17\end{array}\)

The mean value is equal to 35.17 years.

04

Calculate the standard deviation

The following table shows the computations necessary for calculating the standard deviation:

Class Interval

f

Midpoint(x)

fx

\({x^2}\)

\(f{x^2}\)

2-11

7

6.5

45.5

42.25

295.75

12-17

15

14.5

217.5

210.25

3153.75

18-24

19

21

399

441

8379

25-39

19

32

608

1024

19456

40-49

15

44.5

667.5

1980.25

29703.75

50-59

11

54.5

599.5

2970.25

32672.75

60-80

14

70

980

4900

68600

\(\sum f = N = 100\)

\(\sum {x = 243} \)

\(\sum {fx = 3517} \)

\(\sum {{x^2}} = 11568\)

\(\sum {f{x^2}} = 162261\)

The value of the standard deviation is computed below:

\(\begin{array}{c}\sigma = \sqrt {\frac{{\sum {f{x^2}} }}{N} - {{\left( {\frac{{\sum {fx} }}{N}} \right)}^2}} \\ = \sqrt {\frac{{162261}}{{100}} - {{\left( {\frac{{3517}}{{100}}} \right)}^2}} \\ = 19.64\end{array}\)

Therefore, the standard deviation is equal to 19.64 years.

05

Calculate the variance

The variance is computed as follows:

\(\begin{array}{c}{\sigma ^2} = \frac{{\sum {f{x^2}} }}{N} - {\left( {\frac{{\sum {fx} }}{N}} \right)^2}\\ = \frac{{162261}}{{100}} - {\left( {\frac{{3517}}{{100}}} \right)^2}\\ = 385.69\end{array}\)

The value of the variance is equal to 385.69 years squared.

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 91影视!

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

Exercises 13鈥28 use the same data sets as Exercises 13鈥28 in Section 10-1. In each case, find the regression equation, letting the first variable be the predictor (x) variable. Find the indicated predicted value by following the prediction procedure summarized in Figure 10-5 on page 493.

Internet and Nobel Laureates Find the best predicted Nobel Laureate rate for Japan, which has 79.1 Internet users per 100 people. How does it compare to Japan鈥檚 Nobel Laureate rate of 1.5 per 10 million people?

Testing for a Linear Correlation. In Exercises 13鈥28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of A = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.)

Revised mpg Ratings Listed below are combined city-highway fuel economy ratings (in mi>gal) for different cars. The old ratings are based on tests used before 2008 and the new ratings are based on tests that went into effect in 2008. Is there sufficient evidence to conclude that there is a linear correlation between the old ratings and the new ratings? What do the data suggest about the old ratings?

Old

16

27

17

33

28

24

18

22

20

29

21

New

15

24

15

29

25

22

16

20

18

26

19

What is the relationship between the linear correlation coefficient rand the slope\({b_1}\)of a regression line?

Testing for a Linear Correlation. In Exercises 13鈥28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of A = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.)

Lemons and Car Crashes Listed below are annual data for various years. The data are weights (metric tons) of lemons imported from Mexico and U.S. car crash fatality rates per 100,000 population (based on data from 鈥淭he Trouble with QSAR (or How I Learned to Stop Worrying and Embrace Fallacy),鈥 by Stephen Johnson, Journal of Chemical Information and Modeling, Vol. 48, No. 1). Is there sufficient evidence to conclude that there is a linear correlation between weights of lemon imports from Mexico and U.S. car fatality rates? Do the results suggest that imported lemons cause car fatalities?

Lemon Imports

230

265

358

480

530

Crash Fatality Rate

15.9

15.7

15.4

15.3

14.9

In Exercises 5鈥8, use a significance level of A = 0.05 and refer to the

accompanying displays.

Casino Size and Revenue The New York Times published the sizes (square feet) and revenues (dollars) of seven different casinos in Atlantic City. Is there sufficient evidence to support the claim that there is a linear correlation between size and revenue? Do the results suggest that a casino can increase its revenue by expanding its size?

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.