Complete the following probability distribution table and then calculate the stated probabilities. HINT [See Quick Example...
Complete the following probability distribution table and then calculate the stated probabilities. HINT [See Quick Example 5.] Outcome a b c d e Probability 0.1 0.09 0.5 0.01 _____ (a) P({a, c, e}) P({a, c, e}) = (b) P(E ∪ F), where E = {a, c, e} and F = {b, c, e} P(E ∪ F) = (c) P(E'), where E is as in part (b) P(E') = (d) P(E ∩ F ), where E and F are as in...
Complete the following probability distribution table and then calculate the stated probabilities. HINT [See Quick Example 5.] Outcome a b c d e Probability 0.1 0.01 0.4 0.09 (a) P({a, c, e}) P({a, c, e}) = (b) P(E ∪ F), where E = {a, c, e} and F = {b, c, e} P(E ∪ F) = (c) P(E'), where E is as in part (b) P(E') = (d) P(E ∩ F ), where E and F are as in part (b) P(E ∩ F)...
Complete the following probability distribution table and then calculate the stated probabilities. HINT [See Quick Example 5.] Outcome a b c d e Probability 0.1 0.05 0.4 0.05 (a) P({a, c, e}) P({a, c, e}) = (b) P(E ∪ F), where E = {a, c, e} and F = {b, c, e} P(E ∪ F) = (c) P(E'), where E is as in part (b) P(E') = (d) P(E ∩ F ), where E and F are as in part (b) P(E ∩ F)...
a С e Complete the following probability distribution table and then calculate the stated probabilities. Outcome b d Probability 0.1 0.07 0.7 0.03 (a) Pl{a, c, e}) Pl{a, c, e}) = (b) P(EU F), where E = P(EU F) = {a, c, e) and F = {b, c, e} (C) P(E'), where E is as in part (b) P(E') = (d) P( EF), where E and Fare as in part (b) P(En F) =
Complete the following probability distribution table and then calculate the stated probabilities. I Outcome b d Probability 0.1 0.67 0.1 0.03 а с e (a) P({a, c, e}) P({a, c, e}) = (b) P(EUF), where E = {a, c, e) and F = {b, c, e} P(EU F) = (c) P(E'), where E is as in part (b) P(E') = (d) P(En F), where E and F are as in part (b) P(En F) =
3. Fill in the following probability distribution table and then calculate the stated probabilities Outcome a b c d e Probability .1 .05 .6 .05 (a) P({a, c, ed in q uo natt oa baidgis aistball model wilidadora da bude visalillest ato di (b) P(EUF), where E = {a,c,e} and F = {b,c,e} (c) P(E) where E is as above (a) P(En F) with E and F as above.
Give the probability distribution for the indicated random variable. HINT [See Example 3.] (Enter your probabilities as fractions.) A red die and a green die are rolled, and X is the sum of the numbers facing up. x 2 3 4 5 6 7 8 9 10 11 12 P(X = x) Calculate P(X ≠ 11). (Enter your probability as a fraction.) P(X ≠ 11) =
Z is the standard normal distribution. Find the indicated probability. HINT [See Example 1.] (Round your answer to four decimal places.) P(−1.72 ≤ Z ≤ 0.23)
Z is the standard normal distribution. Find the indicated probability. HINT [See Example 1.] (Round your answer to four decimal places.) P(−1.71 ≤ Z ≤ 0.13)
5. A uniform probability distribution is one where the probabilities of each outcome are exactly the same. Determine if each situation can be modelled by a uniform probability distribution. a. Rolling a 10-sided die. b. Flipping two regular coins. c. Drawing a marble out of a bag with 7 different coloured marbles inside. d. Playing a lottery where you choose 4 numbers out of 25 different numbers.