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Chapter 12 exam questions

By Mary Wallace,2014-06-17 23:58
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Chapter 12 exam questions ...

Skills Math10 Ch. 3, 4, 5, 6

Directions: Choose the BEST answer.

    Questions 1 2 refer to the following: Below is the probability distribution function for the number of high school years that

    students at a local high school play on a sports team.

    X P(X=x)

    0 0.32

    1 0.12

    2

    3 0.18

    4 0.14

1. What is the probability that X = 2?

    A. 0.24 B. 0.76 C. 0.32 D. Cannot determine

2. Over the long run, the average number of years that we would expect students at this

    high school to play on a sports team is:

    A. 0 B. 1.7 C. 2 D. 2.6

3. According to the 2000 United States Census, 12.3% of the population is Black or

    African American. The probability that a randomly selected U. S. resident is NOT Black or

    African American is

    A. 0.123 B. 0.877 C. 0.754 D. Cannot determine

4. Assume the statistics final is a multiple choice test with 40 questions. Each question

    has four choices with one correct answer per question. If you were to randomly guess on

    each of the questions, what is the probability of getting exactly the expected number of

    correct answers?

     A. 0.5839 B. 0.5605 C. 0.25 D. 0.1444

5. In an exponential distribution, the mean is larger than the median.

     a. TRUE b. FALSE.

6. In Fall 1999, students in one Math 10 section determined that the length of movies at

    the cinema was normally distributed with a mean of 148 minutes and a standard deviation

    of 19 minutes.

    Find the third quartile and interpret it.

    a. 75 minutes; Three-fourths of the movie lengths fall below 75 minutes.

    b. 160.8 minutes; Three-fourths of the movie lengths fall below 160.8 minutes.

    c. 160.8; Three-fourths of the movies last 160.8 minutes.

    d. 75 minutes; Three-fourths of the movies last 75 minutes.

7. Which of the following is FALSE about data that follows the normal distribution?

    a. The mean is the same as the mode.

    b. The standard deviation is the same as the mean.

    c. The median is the same as the mode.

    d. Most data is within 3 standard deviations of the median.

8. The graph showing the age of getting a driver’s license in California starts and peaks at

    age 16, and decreases from there. This shape most closely resembles what type of

    distribution?

    a. Normal b. Binomial c. Uniform d. Exponential

Use the following information for questions 9 and 10. th grade student spends on homework per The amount of time that a randomly chosen 6

    week is uniformly distributed from 30 to 120 minutes.

     th9. What is the probability that a randomly chosen 6 grade student spends at least 60

    minutes per week on homework knowing that he/she will spend at most 80 minutes per

    week on homework?

     a. 1.20 b. 0.6667 c. 0.2222 d. 0.4

     th10. What is the expected amount of time that a randomly chosen 6 grade student spends

    on homework per week?

     a. 45 minutes b. 60 minutes c. 30 minutes d. 75 minutes

Use the following information for questions 11 and 12.

    The length of time a randomly chosen 9-year old child spends playing video games per

    day is approximately exponentially distributed with a mean equal to 2 hours.

11. Find the probability that a randomly chosen 9-year old will play video games at most 3

    hours.

     a. 0.7769 b. 0.9975 c. 0.0025 d. 0.2231

12. 70% of 9-year old children will play video games per day for at most how long?

     a. 0.60 hours b. 2.41 hours c. 0.71 hours d. Cannot determine

Use the following information for questions 13 and 14.

    Research has shown that studying improves a student’s chances to 80% of selecting the

    correct answer to a multiple choice question. A multiple choice test has 15 questions.

    Each question has 4 choices.

13. What is the distribution for the number of questions answered correctly when a

    student studies?

     a. B(15, 0.80) b. B(15, 0.25) c. P(15) d. P(6)

14. Suppose that a student does not study for the test but randomly guesses the answers.

    What is the probability that the student will answer 7 or 8 questions correctly?

     a. 0.2951 b. 0.0524 c. 0.0131 d. Cannot determine

15. A downtown hotel determined the probability of finding X taxicabs waiting outside the

    hotel anytime between 5 PM and midnight. The information is shown in the table.

    X P(X)

    1 0.0667

    2 0.1331

    3 0.2000

    4 0.2667

    5 0.3333

What is the average number of taxicabs that are expected to be waiting outside the hotel

    anytime between 5 PM and midnight?

     a. 3.7 b. 3 c. 0 d. 15

    16. During the registration period for a new quarter, the De Anza College Registrar’s Office processes approximately 75 applications per hour, on the average. What is the probability that it will process more than 80 applications for a randomly chosen hour? (This is a Poisson problem. If you did not cover the Poisson Distribution, then skip this problem.)

     a. 0.0379 b. 0.2589 c. 0.7411 d. 0.0248

Questions 17 - 19 refer to the following

    P(T) = 0.69 P(S) = 0.5, P(S|T) = 0.5

17. Events S and T are

    A. mutually exclusive

    B. independent

    C. mutually exclusive and independent

    D. neither mutually exclusive nor independent

18. Find P(S AND T)

    A. 0.3450 B. 0.2500 C. 0.6900 D. 1

19. Find P(S OR T)

    A. 0.6900 B. 1.19 C. 0.8450 D. 0

    20. Based on data from the US Census Bureau the average age of US residents is 36.31 with a standard deviation of 21.99. The data is normally distributed. The notation for the distribution is

    A. X ~ N(36.31, 21.99)

    B. X ~ N(21.99, 36.31)

    C. X ~ B(36.31, 22)

    D. X ~ U(0, 36.31)

21. In a binomial distribution we

    A. count the number of successes until a failure is obtained

    B. count the number of trials until a success is obtained

    C. count the number of successes in a finite number of trials

    D. count the number of trials until the number of successes equals the number of

    failures

22. Certain stocks have a probability of 0.6 of returning a $100 profit. They also have a

    probability of 0.4 of having a loss of $300. Over the long run, what is the best thing to do

    to maximize your profit, and why?

     A.