Suppose it is known that

10%

of all orders get returned to the store each Saturday and there are 400 orders most weeks. Let

x=

number of returns and a return = "success".\ What is the mean number of returns (a.k.a. expected value)?\ What is the mean number of returns \ \ Meadas company makes shocks. The distance traveled before the shocks wear out is normally distributed with population mean

=75,000

miles to failure and population standard deviation

=15,000

miles.\ What is the standard normal

z

-score for

x=75,000

miles to failure?\ What is

P(x

? What is

P(x>75,000)

?\ What is the standard normal

z

-score for

x=50,000

miles to failure?\ They currently guarantee their shocks for 50,000 miles. What is the probability that a set of shocks will be replaced at no charge to the customer, miles to failure \ \ What is the standard normal

z

-score for

x=75,000

miles to failure?\ What is

P(x

? What is

P(x>75,000)

?\ What is the standard normal

z

-score for

x=50,000

miles to failure?\ They currently guarantee their shocks for 50,000 miles. What is the probability that a set will be replaced at no charge to the customer, miles to failure)?\ What is the probability shocks last more than 90,000 miles?\

1. What is the standard normal z-score for x=75,000 miles to failure? 2. What is P(x75,000) ? What is P(x>75,000) ? 3. What is the standard normal z-score for x=50,000 miles to failure? 4. They currently guarantee their shocks for 50,000 miles. What is the probability that a set will be replaced at no charge to the customer, P(x