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The average monthly gasoline purchase for a family with 2 cars is 90 gallons. This statistic has a normal distribution with a standard deviation of 10 gallons. A family is chosen at random.
a) Find the probability that the family's monthly gaoline purchases will be between 88 and 98 gallons.
b) Find the probability that the family's monthly gasoline purchases will be less than 100 gallons.
c) Find the probability that the family's monthly gasoline purchases will be more than 78 gallons.
Use a 0.05 significance level to test the claim of a cereal lobbyist that the mean for all cereals is less than 0.3g.
The following data represent scores of 50 students in the applied business statistics test. Prepare the frequency distribution table and the frequency histogram for this data set.
Use normal disrtibution of fish lengths for which the mean is 8 inches and the standard deviation is 5 inches. Assume the variable x is normally distributed.
Locate value of the population mean in your sketch and make an estimate of the standard deviation
You are a manager with Appetizer. The company owns a chain of restaurants in the United States. Appetizer is looking for an opportunity to expand.
Mighty Manufacturing must decide on the processes to use to produce 1650 units. If machine 1 is used, its production will be between 300 and 1500 units. Machine 2 or machine 3 can be used only if machine 1's production is at least 1000 units. Ma..
Demands for an item are part of a poisson process and are made on a warehouse 3 times per day. What is the probability that on a given day this item is requested:
You are running a chi-squared test. If you have 5 groups with 3 characteristics each, what would your critical value be with an alpha of .25? a . Between 0 and 3.0
Find a 99% confidence interval for the difference in the mean number of calls between night and day.
If a null hypothesis is rejected at a significance level of .01, it will ______ be rejected at a significance level of .05
A sample of 50 provided a sample mean of 14.15. The population standard deviation is 3.
An investor estimates that there is a 1 in 10 chance that a stock purchase will lose 20% of its value, a 2 in 10 chance it will break even, a 4 in 10 chance it will gain 15% and 3 in 10 chance it will gain 30%. What is the expected return.
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