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Can you help me with some easy explanations on the following two items found in real world examples? I am having hard time expressing how I would use ANOVA & Regression in real world examples.Please note I do not need actual data samples, only how to explain the two questions below in easy terms.
*How would I define ANOVA in the real world or every day life? What type of situation would I use ANOVA?
*Regression - what type of situation would I be able to understand how to use regression as a key driver as an influence in sales or other outcomes?
At.05 level of significance, is there sufficient evidence to conclude that difference exists between proportion of cats and proportion of dogs which sleep more than 10 hours per day?
How many ways can she choose 4 dissimilar rides if order does not matter? If she has chosen the first weeks rides, how many ways can she choose four more different rides for second week? Suppose that order does not matter.
At 0.01 significance level is it sensible to conclude that modification reduced number of traffic accidents?
Suppose that monthly rental rates for unfurnished one-bedroom apartment in Ann Arbor, Michigan, are approximately normal in distribution, with a mean of $750 and a standard deviation of $150.
Find out the value of test statistic utilizing one sample proportion testing. Use the subsequent information for the below questions.
Be sure to show whether you use the t- or z- value, and what value you use. Interpret the confidence interval in a single sentence. In another sentence, state why you used either the "t" or the "z".
Verify value of t for the independent Variable, using formula. (That is, using formula in the Formula Sheet compute the t statistic , given data provided in the print out).
The following payoff matrix has been developed for the decision problem. What is the opportunity loss when "A" is Investment alternative and "Decline" is state of nature?
Fawns Fawns among1 or 5 months old in Mesa Verde National Park have a body weight that is approximately normally distributed with mean
Woodco manufactures tables and chairs. Each table and chair must be made entirely out of oak or entirely out of pine. A total of 150 board feet of oak and 210 board feet of pine are available.
Compute the effect size for each of the following average SAT math scores. Remember SAT math is standardized such that u= 500 and standard deviation =100.
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots. A partial ANOVA table
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