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Banner Mattress and Furniture Company wishes to study the number of credit applications received per day for the last 300 days. The information is reported on the next page. To interpret, there were 50 days on which no credit applications were received, 77 days on which only one application was received, and so on. Would it be reasonable to conclude that the population distribution is Poisson with a mean of 2.0? Use the .05 significance level. Hint: To find the expected frequencies use the Poisson distribution with a mean of 2.0. Find the probability of exactly one success given a Poisson distribution with a mean of 2.0. Multiply this probability by 300 to find the expected frequency for the number of days in which there was exactly one application. Determine the expected frequency for the other days in a similar manner.
Be sure to specifically identify the statistical formulas and what additional data you would need to determine your estimate(s).
Estimate the indicated probability by using the normal distribution as an approximation to the binomial distribution.
At the .10 significance level, can we conclude that there is a difference in the amounts quoted?
At the .05 significance level, is the number of units produced on the afternoon shift larger?
At other casinos, the dealer is required to take a hit on soft 17, but must stay on all other hands with a value of 17, 18, 19, 20, or 21. For this situation, determine the probability of the ending value of the dealer's hand.
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Assume that 13 % of the population of the U.S. is left-handed. If a random sample of 180 people from the U.S. is chosen, approximate the probability that fewer than 26 are left-handed.
According to US Census Bureau, 7.1% of all births to non-smoking mothers are of low birth weight (
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