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A group of department store buyers viewed a new line of dresses and gave their opinions of them. The results are below: Because the largest number (47) indicated the new line is outstanding, the head designer thinks that this is a mandate to go into mass production of the dresses. The head sweeper (who somehow became involved in this) believes that there is not a clear mandate and claims that the opinions are evenly distributed among the six categories. He further states that the slight differences among the various counts are probably due to chance. Test the null hypothesis that there is no significant difference among the opinions of the buyers. Test at the .01 level of risk. Follow a formal approach; that is, state the null hypothesis and the alternative hypothesis (according to the head sweeper). Note: you will need to enter a column of Expected values so that the buyers are evenly distributed in their opinions. The number of parameters in MegaStat is 0.
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall semester on the basis of past experience.
How many boxes must the processor sample to be 95 percent confident that the sample mean does not differ from the population mean by more than 0.2 pounds?
Consider babies born in the "normal" range of 37 - 43 weeks gestational age. What is the probability that the birth weight of a randomly selected baby of this type:
The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project.
A random sample of 200 people was taken. Sixty percent of the people favor President Obama. The 95% confidence interval for the true population of people who favor Obama is?
Deriving the regression equation, testing the model fit and obtains confidence interval for estimated values.
Find the probability that the driver was intoxicated or the pedestrian was not intoxicated?
Using the empirical rule, what is the approx percentage of cans of regular coke with weights between 0.80931 lbs. and 0.82433 lbs?
What is the 95% confidence interval for the difference between the mean prices of the two models?
If the mailing list can be considered a random sample of the population, what is the chance that at least 1245 Macintosh users will receive the flyer?
What is the chi-square goodness-of-fit test? What are the differences/similarities between this test and an independent t-test? How do you know when to use one analysis over the other? Show an example.
Construct a 95 percent confidence interval for the difference in proportions for the two populations represented by these samples.
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