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In an Italian breakfast cafe, a waitress has observed that 80% of her customers order coffee and 25% order both biscotti and coffee.
What is the probability that a randomly selected customer would not order a biscotti, given that he or she does not order coffee?
You need to know the percentage of her customers that order biscotti to answer the above question - let's assume that it is 40%.
the amounts of money requested on home loan applications at down river federal savings follow the normal distribution
question 1aa random sample of 25 was drawn from a normal distribution whose standard deviation is 5. the sample mean
Is coffee the key to success in a f2f Stat 200 class? (Would it be necessary in our on-line course?) FINALLY, what are some of the flaws in this observational analysis? How might it be better designed
suppose we were interested in determining if there were differences in the average prices among two local supermarkets.
The ancient Greeks thought that the most pleasing shape for a rectangle was one for which the ratio of the length to the width was 8 to 5, the golden ration.
based on a survey for women aged 18 to 24 systolic blood pressures in mm hg are normally distributed with a mean of
A biologist randomly selects 10 portions of water, each equal to .1 cm3 in volume, from the local reservoir and counts the number of bacteria present in each portion. The biologist then totals the number of bacteria for the 10 portions to obtain a..
A random sample of 56 people measured accuracy w/ positive errors representing watches that are ahead of the correct time and negative rep. those behind the time.
Find the mean, median, mode, sample variance, and range. Do you think that this sample might have come from a normal population? Why or why not?
Let τ be a random variable which measures the time one has to wait for an event, such as default of a bond. As one can observe, the distribution of τ has the following density function
What is the point estimator of the mean percentage of reservations that are cancelled on the day of the flight?
Construct a 90% confidence interval for the population proportion, p, in order to test the claim from a confidence interval point of view. What is the best point estimate for p?
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