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• Resource: Applying ANOVA and Nonparametric Tests Simulation• Complete the Applying ANOVA and Nonparametric Tests simulation located on your student website.• Prepare a 350- to 700-word summary addressing the following items:
What are three lessons you learned relative to ANOVA and nonparametric tests?
As a result of using this simulation, what concepts and analytic tools will you be able to use in your workplace (i.e., how do you expect to apply what you learned)?
Based on your experience, what additional information would you recommend to the key decision maker in the simulation to solve the challenge given?
Consider the experiment- "the next integer generated." Define the following: Event A = "Odd number" = (1,3,5,7) and Event B "number more than 4" = 5,6,7,8.
Define probability and explain its three perspectives. Provide an example of each. Explain the concept of mutually exclusive events. How do you compute the probability P(A or B) when A and B are, and are not, mutually exclusive.
Critically discuss some examples of descriptive statistics? Why are they used in research? What is a confidence interval?
Determine the minimum sample size required using prior study that found that 54% of respondents said they have high-speed Internet access.
Fitting a straight line to a set of data yields the following prediction line: i=2+5xi
Assume that a study of 300 randomly selected school bus routes showed that 279 arrived on time. Is it unusual for a school bus to arrive late?
Compare the mean of the sampling distribution of sample means with that of the population.
Assuming the percentages are based on independant simple random samples of 1,000 first year college students drawn each year.
The average credit card debt for college seniors is $3,262. If the debt is normally distributed with a standard deviation of $400, find probabilities. that the senior owes at least $1,000
The relative frequency distribution of the number of TVs sold in a day in a department store in the last year is as follows: Compute the mean and standard deviation of this distribution.
Based on the information above, estimate the mean and standard deviation of the weight of the pain killer in each bottle.
Explain a few of the following on whatever topic you choose: decision tree, decision stragety, probability, forecasting, linear programming as it relates to work, life or interset.
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