Statistics

# Practice

StatisticsPractice

### 4.1Probability Distribution Function (PDF) for a Discrete Random Variable

Use the following information to answer the next five exercises: A company wants to evaluate its attrition rate, or in other words, how long new hires stay with the company. Over the years, the company has established the following probability distribution:

Let X = the number of years a new hire will stay with the company.

Let P(x) = the probability that a new hire will stay with the company x years.

1.

Complete Table 4.20 using the data provided.

xP(x)
0.12
1.18
2.30
3.15
4
5.10
6.05
Table 4.20
2.

P(x = 4) = ________

3.

P(x ≥ 5) = ________

4.

On average, how long would you expect a new hire to stay with the company?

5.

What does the column “P(x)” sum to?

Use the following information to answer the next four exercises: A baker is deciding how many batches of muffins to make to sell in his bakery. He wants to make enough to sell every one and no fewer. Through observation, the baker has established a probability distribution.

xP(x)
1.15
2.35
3.40
4.10
Table 4.21
6.

Define the random variable X.

7.

What is the probability the baker will sell more than one batch? P(x > 1) = ________

8.

What is the probability the baker will sell exactly one batch? P(x = 1) = ________

9.

On average, how many batches should the baker make?

Use the following information to answer the next two exercises: Ellen has music practice three days a week. She practices for all of the three days 85 percent of the time, two days 8 percent of the time, one day 4 percent of the time, and no days 3 percent of the time. One week is selected at random.

10.

Define the random variable X.

11.

Construct a probability distribution table for the data.

12.

We know that for a probability distribution function to be discrete, it must have two characteristics. One is that the sum of the probabilities is one. What is the other characteristic?

Use the following information to answer the next five exercises: Javier volunteers in community events each month. He does not do more than five events in a month. He attends exactly five events 35 percent of the time, four events 25 percent of the time, three events 20 percent of the time, two events 10 percent of the time, one event 5 percent of the time, and no events 5 percent of the time.

13.

Define the random variable X.

14.

What values does x take on?

15.

Construct a PDF table.

16.

Find the probability that Javier volunteers for fewer than three events each month. P(x < 3) = ________

17.

Find the probability that Javier volunteers for at least one event each month. P(x > 0) = ________

### 4.2Mean or Expected Value and Standard Deviation

18.

Complete the expected value table.

x P(x) x*P(x)
0.2
1.2
2.4
3.2
Table 4.22
19.

Find the expected value from the expected value table.

x P(x) x*P(x)
2.12(.1) = .2
4.34(.3) = 1.2
6.46(.4) = 2.4
8.28(.2) = 1.6
Table 4.23
20.

Find the standard deviation.

x P(x) x*P(x) (xμ)2P(x)
2 0.1 2(.1) = .2 (2–5.4)2(.1) = 1.156
4 0.3 4(.3) = 1.2 (4–5.4)2(.3) = .588
6 0.4 6(.4) = 2.4 (6–5.4)2(.4) = .144
8 0.2 8(.2) = 1.6 (8–5.4)2(.2) = 1.352
Table 4.24
21.

Identify the mistake in the probability distribution table.

x P(x) x*P(x)
1.15.15
2.25.50
3.30.90
4.20.80
5.15.75
Table 4.25
22.

Identify the mistake in the probability distribution table.

x P(x) x*P(x)
1.15.15
2.25.40
3.25.65
4.20.85
5.151
Table 4.26

Use the following information to answer the next five exercises: A physics professor wants to know what percent of physics majors will spend the next several years doing postgraduate research. He has the following probability distribution:

x P(x) x*P(x)
1.35
2.20
3.15
4
5.10
6.05
Table 4.27
23.

Define the random variable X.

24.

Define P(x), or the probability of x.

25.

Find the probability that a physics major will do postgraduate research for four years. P(x = 4) = ________

26.

Find the probability that a physics major will do postgraduate research for at most three years. P(x ≤ 3) = ________

27.

On average, how many years would you expect a physics major to spend doing postgraduate research?

Use the following information to answer the next seven exercises: A ballet instructor is interested in knowing what percent of each year's class will continue on to the next so that she can plan what classes to offer. Over the years, she has established the following probability distribution:

• Let X = the number of years a student will study ballet with the teacher.
• Let P(x) = the probability that a student will study ballet x years.
28.

Complete Table 4.28 using the data provided.

x P(x) x*P(x)
1 .10
2 .05
3 .10
4
5 .30
6 .20
7 .10
Table 4.28
29.

In words, define the random variable X.

30.

P(x = 4) = ________

31.

P(x < 4) = ________

32.

On average, how many years would you expect a child to study ballet with this teacher?

33.

What does the column P(x) sum to and why?

34.

What does the column x*P(x) sum to and why?

35.

You are playing a game by drawing a card from a standard deck and replacing it. If the card is a face card, you win $30. If it is not a face card, you pay$2. There are 12 face cards in a deck of 52 cards. What is the expected value of playing the game?

36.

You are playing a game by drawing a card from a standard deck and replacing it. If the card is a face card, you win $30. If it is not a face card, you pay$2. There are 12 face cards in a deck of 52 cards. Should you play the game?

### 4.3Binomial Distribution (Optional)

Use the following information to answer the next eight exercises: Researchers collected data from 203,967 incoming first-time, full-time freshmen from 270 four-year colleges and universities in the United States. Of those students, 71.3 percent replied that, yes, they agreed with a recent federal law that was passed.

Suppose that you randomly pick eight first-time, full-time freshmen from the survey. You are interested in the number who agreed with that law.

37.

In words, define the random variable X.

38.

X ~ _____(_____,_____)

39.

What values does the random variable X take on?

40.

Construct the probability distribution function (PDF).

x P(x)
Table 4.29
41.

On average (μ), how many would you expect to answer yes?

42.

What is the standard deviation (σ)?

43.

What is the probability that at most five of the freshmen reply yes?

44.

What is the probability that at least two of the freshmen reply yes?

### 4.4Geometric Distribution (Optional)

Use the following information to answer the next six exercises: Researchers collected data from 203,967 incoming first-time, full-time freshmen from 270 four-year colleges and universities in the United States. Of those students, 71.3 percent replied that, yes, they agree with a recent law that was passed. Suppose that you randomly select freshman from the study until you find one who replies yes. You are interested in the number of freshmen you must ask.

45.

In words, define the random variable X.

46.

X ~ _____(_____,_____)

47.

What values does the random variable X take on?

48.

Construct the probability distribution function (PDF). Stop at x = 6.

x P(x)
1
2
3
4
5
6
Table 4.30
49.

On average (μ), how many freshmen would you expect to have to ask until you found one who replies yes?

50.

What is the probability that you will need to ask fewer than three freshmen?

### 4.5Hypergeometric Distribution (Optional)

Use the following information to answer the next five exercises: Suppose that a group of statistics students is divided into two groups: business majors and non-business majors. There are 16 business majors in the group and seven non-business majors in the group. A random sample of nine students is taken. We are interested in the number of business majors in the sample.

51.

In words, define the random variable X.

52.

X ~ _____(_____,_____)

53.

What values does X take on?

54.

Find the standard deviation.

55.

On average (μ), how many would you expect to be business majors?

### 4.6Poisson Distribution (Optional)

Use the following information to answer the next six exercises: On average, a clothing store gets 120 customers per day.

56.

Assume the event occurs independently in any given day. Define the random variable X.

57.

What values does X take on?

58.

What is the probability of getting 150 customers in one day?

59.

What is the probability of getting 35 customers in the first four hours? Assume the store is open 12 hours each day.

60.

What is the probability that the store will have more than 12 customers in the first hour?

61.

What is the probability that the store will have fewer than 12 customers in the first two hours?

62.

Which type of distribution can the Poisson model be used to approximate? When would you do this?

Use the following information to answer the next six exercises: On average, eight teens in the United States die from motor vehicle injuries per day. As a result, states across the country are debating raising the driving age.

63.

Assume the event occurs independently in any given day. In words, define the random variable X.

64.

X ~ _____(_____,_____)

65.

What values does X take on?

66.

For the given values of the random variable X, fill in the corresponding probabilities.

67.

Is it likely that there will be no teens killed from motor vehicle injuries on any given day in the United States? Justify your answer numerically.

68.

Is it likely that there will be more than 20 teens killed from motor vehicle injuries on any given day in the United States? Justify your answer numerically.

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