1. A random variable is normally distributed with a mean of 45 and a variance of 144. (a). What is the probability the random variable will assume a value greater than 48? (b). What is the probability the random variable will assume a value less than 44?
1. A random variable is normally distributed with a mean of 45 and a variance of 144. (a). What is the probability the random variable will assume a value greater than 48? (b). What is the probability the random variable will assume a value less than 44?
A First Course in Probability (10th Edition)
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![Questions:
1. A random variable is normally distributed with a mean of 45 and a variance of 144.
(a). What is the probability the random variable will assume a value greater than 48?
(b). What is the probability the random variable will assume a value less than 44?
2. The Economic Policy Institute reported that entry level wages for male college graduates were
$21.68 per hour and for female college graduates were $18.80 per hour in 2011. Assume the
standard deviation for male graduates is $2.30, and for female graduates it is $2.05.
(a). What is the probability that a sample of 50 male graduates will provide a sample mean within
$.50 of the population mean, $21.68?
(b). What is the probability that a sample of 100 female graduates will provide a sample mean more
than $.20 below the population mean?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0c5571bc-9db6-4bfb-87f8-e94740fe33db%2F87bddd99-ef21-415c-bc47-ef2103ec645c%2F78uux7k_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Questions:
1. A random variable is normally distributed with a mean of 45 and a variance of 144.
(a). What is the probability the random variable will assume a value greater than 48?
(b). What is the probability the random variable will assume a value less than 44?
2. The Economic Policy Institute reported that entry level wages for male college graduates were
$21.68 per hour and for female college graduates were $18.80 per hour in 2011. Assume the
standard deviation for male graduates is $2.30, and for female graduates it is $2.05.
(a). What is the probability that a sample of 50 male graduates will provide a sample mean within
$.50 of the population mean, $21.68?
(b). What is the probability that a sample of 100 female graduates will provide a sample mean more
than $.20 below the population mean?
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