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Having problem with working through hypothesis process in real world examples.
* Hypothesis testing process is a series of steps to evaluate a process to see if assumptions are correct. What are the major benefits of the process and what are the weakness of the process?
* The null hypothesis or HO has unique characteristics such as (a) assumes status quo (b) assumes no difference (c) always contains an implied equal.What would be an example in the average work world for HO and H1?
* Using P-values for hypothesis testing they are intuitively easy and dont require critical values in charts. In real world terms, what is the best way to describe how P-values work and how to explain this to someone?
Discuss how the empirical rule helps explain the ways in which the values in a set of numerical data cluster and distribute. Regarding probability, discuss the differences between mutually exclusive events and collectively exhaustive events.
In the graphical method, how do you know when a problem is infeasible, unbounded, or when it has multiple optimal solutions? Give a real-world example of when you could have an infeasible problem.
To find out whether the course is effective in increasing sales, the appropriate set of hypothesis for testing is:
If you had a research problem appropriate for ANOVA and it was based on the results from three samples, what would be the null hypothesis?
They both want to know what family member typically does the research about possible honeymoon destinations, and who primarily makes the decision on selecting the destination.
Use the Internet to find a website that shows an example or application correlation or regression in the area of your interest or in your profession. Discuss how correlation or regression was used and summarize your finding.
A normal population has a mean of 75 and a standard deviation of 5. You select a sample of 40. Compute the probability the sample mean is:
For the following data, determine whether or not right-hemisphere damage results in significantly reduced performance on the spatial skills task. Test with alpha set at .05 with one tail. The data are as follows:
Explain why random samples are preferred to nonrandom samples.
Random samples of 25 observations were selected from each of 3 populations. For these data, SSTR= 120 and SSE = 216.
Laura wanted to build a multiple regression model based on advertising expenditures and Coffee Time's price index. Based on the selection of all normal values, she obtained the following:
Jasmine is an African American graduate student. She is conducting research on the effects that affirmative action programs have had on American corporations.
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