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Biting an un-popped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in a popper. After popping, the un-popped 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?
Check the normality assumption.
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
When combining probabilities, to find the probability of one event AND another event, the separate probabilities should be
Then explain your answer to someone who has never had course in statistics (but who is familiar with mean, standard deviation, and Z scores.)
Assume that the measurements came from a normal distribution. The variability of the manufacturing process is unknown means the same as the standard deviation is unknown.
Create a 95% confidence interval for population mean. Is it sensible that population mean is 28 weeks? give explanation for your answer.
The chi-square goodness of fit test can be used when we:
What was the critical F value chosen?
What percent of sales representatives earn more than $42,000 per year?
each person received was determined by randomization. For each person who was sent one of the surveys, the researcher recorded whether or not a completed survey was returned.
One state lottery has 1000 prizes of $1, 200 prizes of $5, 50 prizes of $25, 15 prizes of $150, 4 prizes of $500, and 1 prize of $2500. What is the lottery expected profit per ticket?
Which of the following is the appropriate conclusion from carrying out these multiple comparisons
Is it necessary to assume a normal distribution on the population to estimate the value of the mean spending per day? Explain.
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