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Mumz [18]
3 years ago
13

39​% of college students say they use credit cards because of the rewards program. you randomly select 10 college students and a

sk each to name the reason he or she uses credit cards. find the probability that the number of college students who say they use credit cards because of the rewards program is​ (a) exactly​ two, (b) more than​ two, and​ (c) between two and five inclusive. if​ convenient, use technology to find the probabilities. ​(a) ​p(2)equals nothing ​(round to the nearest thousandth as​ needed.) ​(b) ​p(x greater than​2)equals nothing ​(round to the nearest thousandth as​ needed.) ​(c) ​p(2less than or equals less than or equals​5)equals nothing ​(round to the nearest thousandth as​ needed.)
Mathematics
1 answer:
cluponka [151]3 years ago
3 0
<span>We use the binomial distribution, which states that:
Probability(r out of n) = (nCr) (p)^r (q)^(n-r)
In this case, n = 10 students, p = 39% = 0.39, and q = 1 - 0.39 = 0.61
a) For r = 2: Probability(2/10) = (10C2) (0.39)^2 (0.61)^(10-2) = 45(0.39)^2 (0.61)^8 = 0.1312, which is the probability for exactly 2.
b) We can first find the probability for r = 0 and r = 1, then subtract that from 1 to determine the probability of at least 2.
For r = 0: </span><span>Probability(0/10) = (10C0) (0.39)^0 (0.61)^(10-0) = (1)(1)(0.61)^10 = 0.0071
</span><span>For r = 1: Probability(1/10) = (10C1) (0.39)^1 (0.61)^(10-1) = (10)(0.39)(0.61)^9 = 0.0456</span>
Then P(0/10) + P(1/10) = 0.0527, so P(at least 2/10) = 1 - 0.0527 = 0.9473.
(c) We have P(2/10) = 0.1312, and we can calculate for the rest similarly:
For r = 3: <span>Probability(3/10) = (10C3) (0.39)^3 (0.61)^(10-3) = 0.2237
</span><span>For r = 4: <span>Probability(4/10) = (10C4) (0.39)^4 (0.61)^(10-4) = 0.2503
</span></span><span>For r = 5: <span>Probability(5/10) = (10C5) (0.39)^5 (0.61)^(10-5) = 0.1920
Therefore the sum of P(2) up to P(5) is 0.7972, so this is the probability of having between 2 to 5 inclusive.
</span></span>
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