Normal Distributions. In Exercises 9 and 10, using a loose interpretation of the criteria for determining whether a frequency distribution is approximately a normal distribution, determine whether the given frequency distribution is approximately a normal distribution. Give a brief explanation.

Best Actors Refer to the frequency distribution from Exercise 6

Short Answer

Expert verified

As the frequencies begin from a small value, attain a peak, and then continue to decline and appear to be symmetric, it can be said that the given frequency distribution follows the normal distribution.

Step by step solution

01

Given information

Data are given on the ages of the best actors when they won the Oscar.

02

Normal distribution

A frequency distribution is considered to follow the normal distribution if the frequencies gradually increase from a small value, achieve a maximum value, and then the frequencies gradually decline.

Also, the frequencies on either side of the peak value should appear to be symmetric.

Here, the following frequency distribution is considered:

Age (years) of the best actors when the Oscar was won

Frequency

20-29

1

30-39

28

40-49

36

50-59

15

60-69

6

70-79

1

It can be observed that the frequencies start from a low value, reach the highest value of 36,and then continue to decrease eventually.

Also, the gradual rise of values before the maximum value and the gradual decline of the values after the maximum value appear to be symmetric.

Therefore, the frequency distribution of the ages of the best actors is normally distributed.

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Most popular questions from this chapter

McDonald’s dinner service times refer to the accompanying table summarizing service times (seconds) of McDonald’s dinners. How many individuals are included in the summary? Is it possible to identify the exact values of all of the original service times?

Table for Exercise 1

McDonald’s Dinner Service Times

Times (sec)

Frequency

60-119

7

120-179

22

180-239

14

240-299

2

300-359

5

Cumulative Frequency Distributions. In Exercises 21 and 22, construct the cumulative frequency distribution that corresponds to the frequency distribution in the exercise indicated.

Exercise 5 (Age of Best Actress When Oscar Was Won)

In Exercises 1–6, refer to the data below, which are total home game playing times (hours) for all Major League Baseball teams in a recent year (based on data from Baseball Prospectus).

236 237 238 239 241 241 242 245 245 245 246 247 247 248 248 249 250 250 250 251 252 252 253 253 258 258 258 260 262 264

Frequency Distribution Construct a frequency distribution. Use a class width of 5 hours and use a starting time of 235 hours.

Linear Correlation Coefficient In Exercises 9–12, the linear correlation coefficient r is provided. Use Table 2-11 on page 71 to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation?

Using the data from Exercise 7 “Car Weight and Fuel Consumption,” the linear correlation coefficient is r = -0.987.

Scatterplot. In Exercises 5–8, use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation?

Heights of Fathers and Sons The table lists heights (in.) of fathers and the heights (in.) of their first sons (from Francis Galton).

Height of fatherHeight of first son (in.)
7374
75.573.5
7571
7570.5
7572
7476.5
7474
7371
7372
78.573.2
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