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Give a work example and perform a hypothetical 2 population hypothesis test.
Discuss an application of ANOVA that might be undertaken in your workplace. What are the 3 or more treatments? What is the response variable?
Create a scenario and do a hypothesis testing example for ANOVA. Give the result and explain what it means.
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 69.09 inches and standard deviation s of 4.71 inches.
In government data, a household consists of all occupants of a dwelling unit, while a family consists of two or more persons who live together and are related by blood or marriage. So all families form households, but some households are not famil..
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches. A random sample of 16 heights is obtained.
In a mobile phone shop on a Sunday morning, out of n = 77 customers x = 19 buy a mobile phone. What is the 95% confidence interval for the proportion of customers buying a mobile phone?
What is the probability that the number of granite selected for analysis is within 1 standard deviation of it means value.
Regression analysis works with the basic formula of a line, which is Y = mX + b. We can use it to look at causation. Think about the Lemonade Stand Game.
Provided that the selected student excels in sports, determine the probability that the student is a boy?
For the following cases, determine whether the sampling is dependent or independent. Explain your conclusion.
f x has a normal distribution with mean µ=15 and standard deviation σ= 3, describe the distribution of x values for sample size n, where n = 4, n = 16, and n = 100. How do the x distributions compare for the various sample sizes?
A certain airplane has two independent alternators to provide electrical power. The probability that a given alternator will fail on a 1-hour flight is .02. What is the probability that (a) both will fail? (b) Neither will fail? (c) One or the oth..
How many students should be surveyed if a 90% confidence interval is desired and the margin of error is to be only 3%?
Can you think of an example where regression analysis can be used? How is regression analysis being used in a retail environment, or how should it be used?
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