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1. Describe what an ANOVA test does. When would you use it and give an example.
2. 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. Give an example of how you might use Regression Analysis, and include how you would "set up" the research problem to be examined.
Describe how you would develop a random sample from among students.
If random sample of thirty six customer transactions points out that sample mean withdrawal amount is $172, is there evidence to think that population mean withdrawal amount is no longer $160? Determine the mean of data above?
If the population mean is estimated within two days, how many salespeople should be sampled?
In each of the following cases, decide whether or not a binomial distribution is an appropriate model, and give your reasons.
The standard deviation of is usually called the A. randomized standard error B. standard error of the sample C. standard error of the population D. standard error of the mean
A sample of n observations is taken from a population. When performing statistical inference about a population variance, the appropriate chi-square distribution has:
An experimenter is randomly sampling 5 objects in order from among 49 objects. What is the total number of samples in the sample space?
State in each of given cases whether you would expect relationship between given variables to be positive or negative or neither.
Place the steps below in the correct order for the construction of a control chart.
Find at least what percentage of all homeowners in this city pay a monthly mortgage of 865 to 1,675.00.
A fair die is rolled nine times. What is the probability that an odd number (1,3 or 5) will occur less than 3 times?
Suppose the random variable x is best described by a normal distribution with µ = 24 and σ = 2.7. Find the z-score that corresponds to each of the following x values.
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