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Textbook by: Vicky Moyle. E-mail the author

# Review Questions

Module by: Roberta Bloom. E-mail the author

Summary: Copy of Review Questions module m17021 (http://cnx.org/content/ m17021/) from Collaborative Statistics by Dean and Illowsky http://cnx.org/content/col10522/ , 12/18/2008 . The FORMAT only of the question numbering has been changed.

The next three questions refer to the following information:

In a survey at Kirkwood Ski Resort the following information was recorded:

 0 – 10 11 - 20 21 - 40 40+ Ski 10 12 30 8 Snowboard 6 17 12 5

Suppose that one person from of the above was randomly selected.

## Exercise 1: REVIEW QUESTION 1

Find the probability that the person was a skier or was age 11 – 20.

### Solution

REVIEW QUESTION 1 Solution : 77 100 77 100 size 12{ { { size 8{"77"} } over { size 8{"100"} } } } {}

## Exercise 2: REVIEW QUESTION 2

Find the probability that the person was a snowboarder given he/she was age 21 – 40.

### Solution

REVIEW QUESTION 2 Solution : 12 42 12 42 size 12{ { { size 8{"12"} } over { size 8{"42"} } } } {}

## Exercise 3: REVIEW QUESTION 3

Explain which of the following are true and which are false.

• a. Sport and Age are independent events.
• b. Ski and age 11 – 20 are mutually exclusive events.
• c. P ( Ski and age 21 40 ) < P ( Ski age 21 40 ) P ( Ski and age 21 40 ) < P ( Ski age 21 40 ) size 12{P $$ital "Ski"+ ital "age""21" - "40"$$ <P $$ital "Ski" \lline ital "age""21" - "40"$$ } {}
• d. P ( Snowboard orage 0 10 ) < P ( Snowboard age 0 10 ) P ( Snowboard orage 0 10 ) < P ( Snowboard age 0 10 ) size 12{P $$ital "Snowboardorage"0 - "10"$$ <P $$ital "Snowboard" \lline ital "age"0 - "10"$$ } {}

• a. False
• b. False
• c. True
• d. False

## Exercise 4: REVIEW QUESTION 4

The average length of time a person with a broken leg wears a cast is approximately 6 weeks. The standard deviation is about 3 weeks. Thirty people who had recently healed from broken legs were interviewed. State the distribution that most accurately reflects total time to heal for the thirty people.

### Solution

REVIEW QUESTION 4 Solution : N ( 180 , 16 . 43 ) N ( 180 , 16 . 43 ) size 12{N $$"180","16" "." "43"$$ } {}

## Exercise 5: REVIEW QUESTION 5

The distribution for XX size 12{X} {} is Uniform. What can we say for certain about the distribution for X¯X¯ size 12{ {overline {X}} } {} when n=1n=1 size 12{n=1} {}?

• A. The distribution for X¯X¯ size 12{ {overline {X}} } {} is still Uniform with the same mean and standard dev. as the distribution for XX size 12{X} {}.
• B. The distribution for X¯X¯ size 12{ {overline {X}} } {}is Normal with the different mean and a different standard deviation as the distribution for XX size 12{X} {}.
• C. The distribution for X¯X¯ size 12{ {overline {X}} } {} is Normal with the same mean but a larger standard deviation than the distribution for XX size 12{X} {}.
• D. The distribution for X¯X¯ size 12{ {overline {X}} } {} is Normal with the same mean but a smaller standard deviation than the distribution for XX size 12{X} {}.

### Solution

REVIEW QUESTION 5 Solution : A

## Exercise 6: REVIEW QUESTION 6

The distribution for XX size 12{X} {} is uniform. What can we say for certain about the distribution for XX size 12{ Sum {X} } {} when n=50n=50 size 12{n=50} {}?

• A. The distribution for XX size 12{ Sum {X} } {}is still uniform with the same mean and standard deviation as the distribution for XX size 12{X} {}.
• B. The distribution for XX size 12{ Sum {X} } {} is Normal with the same mean but a larger standard deviation as the distribution for XX size 12{X} {}.
• C. The distribution for XX size 12{ Sum {X} } {} is Normal with a larger mean and a larger standard deviation than the distribution for XX size 12{X} {}.
• D. The distribution for XX size 12{ Sum {X} } {} is Normal with the same mean but a smaller standard deviation than the distribution for XX size 12{X} {}.

### Solution

REVIEW QUESTION 6 Solution : C

The next three questions refer to the following information:

A group of students measured the lengths of all the carrots in a five-pound bag of baby carrots. They calculated the average length of baby carrots to be 2.0 inches with a standard deviation of 0.25 inches. Suppose we randomly survey 16 five-pound bags of baby carrots.

## Exercise 7: REVIEW QUESTION 7

State the approximate distribution for X¯X¯ size 12{ {overline {X}} } {}, the distribution for the average lengths of baby carrots in 16 five-pound bags. X¯~X¯~ size 12{ {overline {X}} "~" } {}

### Solution

REVIEW QUESTION 7 Solution : N ( 2 , .25 16 ) N ( 2 , .25 16 ) size 12{N $${ { size 8{2 "." "25"} } over { size 8{ sqrt {"16"} } } }$$ } {}

## Exercise 8: REVIEW QUESTION 8

Explain why we cannot find the probability that one individual randomly chosen carrot is greater than 2.25 inches.

### Solution

#### REVIEW QUESTION 8 Solution

We do not know the probability distribution for the underlying population of lengths of the individual carrots.

## Exercise 9: REVIEW QUESTION 9

Find the probability that X¯X¯ size 12{ {overline {X}} } {} is between 2 and 2.25 inches.

### Solution

REVIEW QUESTION 9 Solution : 0.5000

The next three questions refer to the following information:

At the beginning of the term, the amount of time a student waits in line at the campus store is normally distributed with a mean of 5 minutes and a standard deviation of 2 minutes.

## Exercise 10: REVIEW QUESTION 10

Find the 90th percentile of waiting time in minutes.

### Solution

REVIEW QUESTION 10 Solution : 7.6

## Exercise 11: REVIEW QUESTION 11

Find the median waiting time for one student.

### Solution

REVIEW QUESTION 11 Solution : 5

## Exercise 12: REVIEW QUESTION 12

Find the probability that the average waiting time for 40 students is at least 4.5 minutes.

### Solution

REVIEW QUESTION 12 Solution : 0.9431

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