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Biting an un-popped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of cheap popcorn carefully counted 713 kernels and put them in a popper. After popping, the un-popped kernels were counted. There were 89.
(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?
M&M Confidence Interval regarding the count of each color of M&M contained in a "fun size" bag of M&Ms for hypothesis testing. Use the traditional hypothesis testing method,
What is the lowest raw score that a client must have on Anxiety Scale A in order to be admitted into this new group? Also assuming some clinics use Anxiety Scale B and often refer their clients to Mary, what is the cutoff point (lowest raw score) ..
The U.S. Commission of Crime wishes to estimate the fraction of crimes related to firearms in an area with one of the highest crime rates in the country.
find probabilty that the average of those counts is more than 83.0 mosquitoes per square meter. Assume the variable is normally distributed.
At a local supermarket receiving dock, the number of truck arrivals per day is recorded for 100 days. Estimate the mean from the sample.
What is the null hypothesis in a chi-squared test of independence? List the assumptions under which the linear regression model is supposed to work.
Its probability distribution is as follows. Find the standard deviation of the number of houses sold. A. 2.25 B. 2.62 C. 1.62 D. 6.86 E. 4.45.
Evaluate the importance of each of these sums of squares. Give the 99% Scheffe confidence intervals for the linear and quadratic contrasts.
Based on this sample information find out what percent of variation in starting salaries is described by GPA, and find out the equation that would forecast salary from GPA. Give a scatter plot.
(12,50), (6, 36), (20,60), (5,24), (38,70), (3,24), (8, 42), (20,65), (10, 40), (15, 60). Your best guess of the correlation coefficient between the two variables is?
Using any present or past job related data, perform an ANOVA in either Excel or MegaStat. Write your null and alternate hypothesis. Post your ANOVA table. Interpret the results.
Which component of a time series is most likely to occur? Which component has a pattern that must be complete in a single year and repeat from year to year?
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