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Question 1
George throws a ball at a target 15 times. Each time George throws the ball, the probability of the ball hitting the target is 0.48. The random variable X represen... show full transcript
Step 1
Answer
To find P(X = 3), we will use the binomial probability formula:
P(X = k) = inom{n}{k} p^k (1 - p)^{n - k}
where:
Calculating:
P(X = 3) = inom{15}{3} (0.48)^3 (1 - 0.48)^{15 - 3}
Calculating the binomial coefficient:
inom{15}{3} = \frac{15!}{3!(15-3)!} = 455
Now plugging in values:
Using a calculator:
Step 2
Step 3
Answer
To approximate the probabilities for large sample sizes, we can use the normal approximation to the binomial distribution:
Let:
Calculating the mean and standard deviation:
Mean:
Variance:
Standard Deviation:
Now convert the target of more than 110 hits to a Z-score:
Using the standard normal distribution table to find the probability of Z being greater than -1.826, we can find:
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