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In a batch of 8,000 clock radios 9% are defective. A sample of 15 clock radios is randomly selected without replacement from the 8,000 and tested. The entire batch will be rejected if at least one of those tested is defective. What is the probability that the entire batch will be rejected?
If the doctor wants to use height to predict head circumference run a linear regression on the data. Find the r-value and comment about it.
Assume from past information that it is known that the standard deviation of the population is 9 hours. What is the correct conclusion for this hypothesis test?
The probability she must stop at at least one of the last two signals is 0.8. Finally, the probability she must stop at at least one of the first and third Signals is also 0.8.
What is the point estimate of the mean planned expenditure by all Americans taking long summer vacations in 2002?
Sample size of only 20. Find out a 95% confidence level for population Cp.
How many participants would be required to ensure that a 95% confidence interval for the mean difference in the number of drinks is within two drinks of the true mean? Assumed that the standard deviation of the difference in the mean number of dri..
Recall that the trash bag manufacturer has concluded that its new 30 gallon bag will be the strongest such bag on the market if its mean breaking strength is at least 50 pounds.
The probability is 90% that the sample percentage will be contained within what symmetrical limits of the population percentage?
What can we conclude from these figures at a level of significance of .01?
"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
If alternate hypothesis mention that m doesn't equal 4,000, determine the rejection region for the hypothesis test?
Each contact will result in either no sale or a $50,000 sale, with the probabilities .9 and .1, respectively. Give the probability distribution for daily sales. Find the mean and standard deviation of the daily sales.
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