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gulaghasi [49]
3 years ago
10

(1 point) Assume that Tom attends class randomly with probability 0.55 and that each decision is independent of previous attenda

nce, so that the process can be viewed as a Bernoulli process. What is the probability that he attends at least 7 of 10 classes given that he attends at least 2 but not all 10 classes?
Mathematics
1 answer:
SSSSS [86.1K]3 years ago
4 0

Answer:

The answer is ≈0.263500.99296≈0.26537≈26.54%

Step-by-step explanation:

We’ll use the binomial probability relation of Tom attending his classes.

n             k        n−k  

∑  Cn,k(p) (1−p)         =1

k=0

Range of probabilities

n=10, k= number of classes he attends

p=0.55.  

10                   k         n−k  

∑  C10,k(0.55) (0.45)      =1

k=0

the probability of his attending "all his classes" isn't 1 - we need to subtract out the classes we know he won't attend and set that as the denominator:

1−(C10,0(0.55)0(0.45)10+C10,1(0.55)1(0.45)9+C10,10(0.55)10(0.45)0)≈1−0.00704≈0.99296

Now the numerator. We're asked for the probability that he attend at least 7 of his classes, but we're also told he won't attend all 10, and so we'll sum up for 7≤k≤9

C10,7(0.55)7(0.45)3+C10,8(0.55)8(0.45)2+C10,9(0.55)9(0.45)1≈0.26350

And so the probability that he attends at least 7 classes, knowing he'll attend at least 2 but not 10 is: ≈0.263500.99296≈0.26537≈26.54%

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