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Biting an unpopped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of cheap popcorn counted 773 kernels and put them in a popperAfter popping, the unpopped kernels were counted. There were 86. (a) Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. (b) Check the normality assumption. (c) Try the Very Quick Rule. Does it work well here? Why, or why not? (d) Why might this sample not be typical?
If HIV virus is actually present, the probability that ELIA test will give a positive result from ELISA is .01. If ELISA has given a positive result, use the Bayes' theorem to find the probability that the HIV virus is actually present.
Find the mean/standard error of the sampling distribution of the proportion. Assume that 26% of students at a university wear contact lenses. We randomly pick 300 students.
Do the data indicate a significant difference between the frequency distributions for male and females? Test at the .05 level of significance and describe the difference.
Derive the standard error of proportion, the margin error and the 95% confidence interval for the proportion indicating preference to flirting.
Is there a relationship between sales and newspaper advertising? Support your answer?
One group of students studie20 minutes a day for 1o days. the second group study once at the end of the coures but for 200 minutes. what is a onetial test?
It is very difficult for small businesses to be successful. The Small business administration estimates that 20 percent will dissolve or go bankrupt within two years. A sample of 50 new businesses is selected. (show work) (a) What is the mean and ..
The media often attempts to predict the outcome of national elections. Why are they often wrong? Based on the concepts presented in this module's readings, how could the system be improved?
Establish a 99% Confidence interval about the difference in the proportion of the town voters and county voters who favor the proposal.
Test whether the average cycle of sleeping and waking differs significantly from 24 hours.
As people use the toothpaste, the amount remaining in any tube is random. Assume the amount left in the ube follows a uniform distribution. How much toothpaste would you expect to be remaining in the tube.
Give an example of a null and alternative hypotheses. This can be a personal item or something at work. Additionally, identify the Type I and Type II Errors that could occur with your decision-making process.
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