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Solutions to various probability and statistics problems, including sample space, dice difference, coin toss, card selection, lottery, expected value, mutually exclusive and independent events, defective rates, relative frequency density histogram, mean, and median calculations.
Typology: Exercises
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score
Solution: (1,1) (1,2) (1,3) (1,4) (1,5) (1,6) (2,1) (2,2) (2,3) (2,4) (2,5) (2,6) (3,1) (3,2) (3,3) (3,4) (3,5) (3,6) (4,1) (4,2) (4,3) (4,4) (4,5) (4,6) (5,1) (5,2) (5,3) (5,4) (5,5) (5,6) (6,1) (6,2) (6,3) (6,4) (6,5) (6,6)
p( dice differ by more than 2 ) = 1236 ≈ 0_._ 33
Solution: For there to be more heads than tails, there would have to be 3 heads and 1 tail, or all heads. The are 4ways the former can occur and only 1 way the latter can occur. So out of the 24 = 16 outcomes of tossing 4coins, p( more heads than tails ) = 165 ≈ 0_._ 31.
Solution: First, choose a kind ( 13 C 4 ), then choose all 4cards from the selected kind ( 4 C 4 ), then select the fifth card from the 48 remaining ( 48 C 1 ). So,
p( 4-of-a-kind ) = 13
Solution: We count the complementary event where we have no sixes.
p( at least one six ) = 1 − p( no six ) = 1 −
Solution: p( all four winning numbers ) =
p( three of the four winning numbers ) = 4
Solution: The expected value is
p( all heads or all tails ) · ( $10 ) + p( both heads and tails occur ) · ( −$4 ) = −$0_._ 50
So the game is not in your favor; you should expect to lose an average of $0_._ 50 per game.
Solution: The events are not mutually exclusive since E 1 ∩ E 2 contains the outcomes with a heart on both selections. The events are not mutually exclusive either since p(E 2 ) = 1352 whereas p(E 2 | E 1 ) = 1251.
Solution: Let Ex denote the event that a chip was manufactured at factory x and let E denote the event that a chip is defective. Then p(E) = p(E | EA ) · p(EA ) + p(E | EB ) · p(EB ) + p(E | EC ) · p(EC ) = 0_._ 50 · 0_._ 01 + 0_._ 25 · 0_._ 02 + 0_._ 25 · 0_._ 03 = 0_._ 0175
Solution: category freq. relative freq. density 0 ≤ x < (^5 2 192192) · 5 ≈ 0_._ 02 5 ≤ x < (^7 4 194194) · 2 ≈ 0_._ 11 7 ≤ x < (^8 6 196196) · 1 ≈ 0_._ 32 8 ≤ x < (^9 4 194194) · 1 ≈ 0_._ 21 9 ≤ x ≤ (^10 3 193193) · 1 ≈ 0_._ 16 Total 19
Solution: Order the data we get 3, 5, 7, 8, 9, 11, 12, 13, 14, 17. So the median of the 10 data points is halfway between items 5 and 6: 9 + 211 = 10. The mean is given by
x ¯ = Σ xi 10