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Give an example for each of the following distributions, binomial, hypergeometric, and Poisson. Explain the differences and different characteristics.
The life corn delight popcorn maker is normally distributed with them mean of 20 months and a standard deviation of two months. The manufacturer will replace on the life popper if it breaks during the guarantee period.
Constructing a scatter plot and determining correlation. a. display the data in a scatter plot, b. calculate the correlation coefficient f, and c. make a conclusion about the type of correlation.
A work-study engineer times a certain operation, and discovers that the average time it takes is 10 minutes, but on 15% of occasions it takes more than 13 minutes.
Her mean waiting time was 7.4 minutes. Assume that the standard deviation has been historically known to be 2.2 minutes. At the .05 significance level, test the claim that the mean waiting time is less than 10 minutes.
Let x = number of the ball obtained on any selection. Then the probability distribution for x is given by:
The weights of the 100 boys in the Boy Scout Troop 829 are normally distributed with a mean of 170 pounds and a standard deviation of 5 pounds.
Explain your answer to someone who is familiar with the t test for a single sample, but not with the t test for independent means.
Solve manually and then by mega stat. Indicate your decision rule, your hypotheses and your statistical and management conclusions."
Calculate a value of lambda using the data from last week concerning the news networks and the reporting practices. Compare your resulting lambda to the resulting chi-square from last week.
Give a mathematical expression for the probability density function of driving distance.
If it is determined that there is no difference between the population mean being represented by the sample and the mean of the population at large, then:
Create a scenario where the binomial probability formula could be used to determine the probability of some number of successes, x, in some given number of trials,n.
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