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Practice final exam for use with Collaborative Statistics (col10522) by Barbara Illowsky and Susan Dean.

Questions 1 – 4 refer to the following:

The following table classified eighty-two children by age and favorite meals at a McDonald's ® restaurant.

Age (in years) against favorite foods
6 or below 7-12 13-15 Total
Hamburger 6 12 16 34
Chicken Nuggets 9 13 11 33
Filet ‘o’ fish 2 5 8 15
Totals 17 30 35 82

Assume a child is randomly selected.

Find the probability of being “7-12” years old AND preferring “chicken nuggets”

  • A

    13 82 size 12{ { {"13"} over {"82"} } } {}
  • B

    28 82 size 12{ { {"28"} over {"82"} } } {}
  • C

    33 82 size 12{ { {"33"} over {"82"} } } {}
  • D

    13 61 size 12{ { {"13"} over {"61"} } } {}

A

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Find the probability of being “13-15” years old OR preferring “Filet’o’fish”.

  • A

    8 82 size 12{ { {8} over {"82"} } } {}
  • B

    50 82 size 12{ { {"50"} over {"82"} } } {}
  • C

    8 51 size 12{ { {8} over {"51"} } } {}
  • D

    42 82 size 12{ { {"42"} over {"82"} } } {}

D

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Find the probability of “preferring Hamburger” given that the randomly selected child is 13-15 years old.

  • A

    16 82 size 12{ { {"16"} over {"82"} } } {}
  • B

    16 35 size 12{ { {"16"} over {"35"} } } {}
  • C

    16 34 size 12{ { {"16"} over {"34"} } } {}
  • D

    16 70 size 12{ { {"16"} over {"70"} } } {}

B

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The events “preferring Hamburger” and “being 13-15 years old” are:

  • A

    Mutually exclusive
  • B

    Independent
  • C

    Neither mutually exclusive or independent.
  • D

    Both mutually exclusive and independent.

C

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E size 12{E} {} and F size 12{F} {} are two events such that P ( E ) = 0 . 60 size 12{P \( E \) =0 "." "60"} {} , P ( E size 12{P \( E} {} or F ) = 0 . 90 size 12{F \) =0 "." "90"} {} and P ( E size 12{P \( E} {} and F ) = 0 . 50 size 12{F \) =0 "." "50"} {} . Find P ( F ) size 12{P \( F \) } {} .

  • A

    0.80
  • B

    0.30
  • C

    0.40
  • D

    0.10

A

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The probability that a randomly chosen adult resident of Bayview city owns a boat is 0.16. The probability that a randomly chosen adult rents an apartment is 0.30. The probability that the adult owns a boat given he/she rents an apartment is 0.20.

  • A

    0.048
  • B

    0.24
  • C

    0.10
  • D

    0.06

D

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Possessing a boat and renting an apartment are:

  • A

    independent events
  • B

    mutually exclusive
  • C

    both independent and mutually exclusive
  • D

    neither independent nor mutually exclusive

D

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Questions 8 – 9 refer to the following:

A bag contains 4 red marbles and 5 blue marbles. Two marbles are randomly drawn without replacement.

Find the probability of the event “The first marble is red and the second is blue.”

  • A

    20 81 size 12{ { {"20"} over {"81"} } } {}
  • B

    20 72 size 12{ { {"20"} over {"72"} } } {}
  • C

    4 12 size 12{ { {4} over {"12"} } } {}
  • D

    4 9 size 12{ { {4} over {9} } } {}

B

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Find the probability that both marbles are red.

  • A

    16 81 size 12{ { {"16"} over {"81"} } } {}
  • B

    7 81 size 12{ { {7} over {"81"} } } {}
  • C

    12 72 size 12{ { {"12"} over {"72"} } } {}
  • D

    8 72 size 12{ { {8} over {"72"} } } {}

C

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Approximately 70% of U. S. adults had at least one pet as a child. We randomly survey 60 U. S. adults. We are interested in the number that had at least one pet as a child. The probability that at least 3 adults had at least one pet as a child means:

  • A

    P ( X = 0 ) + P ( X = 1 ) + P ( X = 2 ) size 12{P \( X=0 \) +P \( X=1 \) +P \( X=2 \) } {}
  • B

    P ( X = 0 ) + P ( X = 1 ) + P ( X = 2 ) + P ( X = 3 ) size 12{P \( X=0 \) +P \( X=1 \) +P \( X=2 \) +P \( X=3 \) } {}
  • C

    P ( X = 4 ) + P ( X = 5 ) + P ( X = 6 ) + . . . + P ( X = 60 ) size 12{P \( X=4 \) +P \( X=5 \) +P \( X=6 \) + "." "." "." +P \( X="60" \) } {}
  • D

    P ( X = 3 ) + P ( X = 4 ) + P ( X = 5 ) + . . . + P ( X = 60 ) size 12{P \( X=3 \) +P \( X=4 \) +P \( X=5 \) + "." "." "." +P \( X="60" \) } {}

D

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Questions 11 – 12 refer to the following:

A plumber has determined the possible number of house calls to be made each day, and their related probabilities:

x = size 12{x={}} {} # of house calls P ( x ) size 12{P \( x \) } {}
0 0.10
1 0.40
2 0.25
3 0.15
4 0.10

What is the probability that he makes at least 1, but no more than 3 house calls in a day?

  • A

    0.65
  • B

    0.80
  • C

    0.50
  • D

    0.40

B

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If the plumber charges a flat fee of $ 40 for a house call, the expected daily income is:

  • A

    $70
  • B

    $175
  • C

    $400
  • D

    $1.75

A

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If X ~ B ( 40 , 0 . 2 ) size 12{X "~" B \( "40",0 "." 2 \) } {} , then P ( X > 11 ) = size 12{P \( X>"11" \) ={}} {}

  • A

    0.0432
  • B

    0.0001
  • C

    0.0875
  • D

    0.1608

C

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The Fizz–Full Soda Company knows that 4% of the bottles of soda it produces are filled with less soda than required. If one purchases 10 bottles at random, the probability that at most 2 of these bottles will have less soda than required is:

  • A

    0.0519
  • B

    0.9938
  • C

    0.9418
  • D

    0.0080

B

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Questions 15 – 16 refer to the following:

Assume the statistics final is a multiple-choice exam with 50 questions, each question having 5 choices, only one of which is correct. Assume you answer all questions at random (guessing).

The expected number of questions you would get correct would be:

  • A

    5
  • B

    10
  • C

    40
  • D

    45

B

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Based upon numerical calculations, would you be surprised if a person got exactly half of the questions correct?

  • A

    yes, because it is impossible
  • B

    yes, because the probability is almost 0
  • C

    no, because the probability is 0.50
  • D

    no, because it is the most likely probability

B

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If sampling without replacement occurs, do the picks follow the Binomial Distribution?

  • A

    Yes, because each pick is independent from the others.
  • B

    No, because the probability of success on each pick changes.
  • C

    Yes, if we are counting the number of successes.
  • D

    No, because we may not have any successes.

B

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Ninety-four percent of California community college transfers feel that their community college adequately prepared them to handle upper-division coursework at their transfer university. We randomly survey 14 California community college transfers. We are interested in the number that feel that their community college adequately prepared them to handle upper division coursework at their transfer university. List the values that X size 12{X} {} , the Random Variable, may take on.

  • A

    1,2,3, . . . , 14 size 12{1,2,3, "." "." "." ,"14"} {}
  • B

    1,2,3, . . . , 94 size 12{1,2,3, "." "." "." ,"94"} {}
  • C

    0,1,2, . . . , 14 size 12{0,1,2, "." "." "." ,"14"} {}
  • D

    0,1,2, . . . , 94 size 12{0,1,2, "." "." "." ,"94"} {}

C

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Source:  OpenStax, Collaborative statistics: supplemental course materials. OpenStax CNX. Oct 01, 2008 Download for free at http://legacy.cnx.org/content/col10586/1.2
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