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I'm having difficulty understanding and showing in layman terms or simple terms an example and comparison between the ANOVA test, Kruskal-Wallis test, and T-Test Statisitc.
From past data, it is recognized that company's production process results in normally distributed yield strengths. Test company's claim at a = 0.05.
"If you took 40 employees at random from the corporation, there is a pretty good chance the average number of days absent would be 12 or more. That's what happened to us - chance variation." Is this a good defense? Justify your answer.
In ANOVA, what does F=1 mean? What are the differences between a two sample t-test and ANOVA hypothesis testing?
The assembly time for a product is uniformly distributed between 6 to 10 minutes.
Using a 1% level of significance, can we say that there is a difference in the average waiting time between the two shops? Find the critical value(s).
Prepare a paper examining a regression analysis on your collected data. Begin by describing the research issue, problem, or opportunity and the accompanying data. Then, perform a regression analysis on your data.
Construct a 95 percent confidence interval for the true mean.
Based on the model N(1152,84) describing Angus steer weights, what are the cutoff values for.
For following scores determine values of each expression: X: 4, 2, 1, & 5. åX, åX 2 , (åX) 2 , å(X-1).
Research the topic of Job Satisfaction and provide a 1 page write-up of the research highlighting where statistical analysis is being used and why it's used.
What fraction of the calls last between 4.2 and 5 minutes?
Determine which is the dependent variable Y and which is the independent variable X. Explain your reasoning. Draw a scatterplot and indicate the relationship if any. Explain. Compute the least-squares regression equation. Show major line items of you..
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