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If we decrease the level of significance a (alpha) from 0.05 to 0.01, that means we are:
A. More willing to accept a type II error;
B. More willing to accept a type I error;
C. Less willing to accept a type I error;
D. None of the above.
Define null and alternative hypothesis and, using sample info. Test manufacturer's claim at 0.01 (1%) level of significance.
Compute z values for each and comment on your findings.
What would be the correct null and alternative hypothesis for the following situation: The sample has a mean of 72.3 mph and a standard deviation of 7.4 mph. Use a 0.05 significance level to test the claim that the mean speed of all cars is greate..
Consider the case where we have n observations, sampled from a binomial pdf (our parameter estimator can therefore be given by X/n). Assume that the margin of error is 6%.
Suppose that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 3 to be 115 or more?
Assume in a single game sudden death playoff between team A and team B that team A would win with probability 0.6.
A check of dorm rooms on a large college campuses revealed that 38% had refrigerators, 52 percent had TVs and 21 percent had both a TV and a refrigerator. What's the probability that a randomly selected dorm room has.
Graph the distribution using a histogram. Calculate the mean and standard deviation.
What is the probability the average of the sample is more than $38000 and What is the standard deviation of the sample mean
Consider the many possible distributions of grades on a quiz in a statistics class; imagine that the grades could range from 0 to 100.
If 1 man aged 18-24 is arbitrarily chosen, determine the probability that his serum cholesterol level is between 165 and 200.
What is the sensitivity and specificity of the test? Suppose that 1 out of 500 infants are born with Down's syndrome.
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