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2.Describe the advantages and disadvantages of quasi-experiments? What is the fundamental weakness of a quasi-experimental design? Why is it a weakness? Does its weakness always matter? 3.If you randomly assign participants to groups, can you assume the groups are equivalent at the beginning of the study? At the end? Why or why not? If you cannot assume equivalence at either end, what can you do? Please explain. 4.Explain and give examples of how the particular outcomes of a study can suggest if a particular threat is likely to have been present. 5.Describe each of the following types of designs, explain its logic, and why the design does or does not address the selection threats discussed in Chapter 7 of Trochim and Donnelly (2006): a.Non-equivalent control group pretest only b.Non-equivalent control group pretest/posttest c.Cross-sectional d.Regression-Discontinuity 6.Why are quasi-experimental designs used more often than experimental designs? 7.One conclusion you might reach (hint) after completing the readings for this assignment is that there are no bad designs, only bad design choices (and implementations). State a research question for which a single-group post-test only design can yield relatively unambiguous findings.
Can the company rely on the fact that the strength of the chemical is identical from batch to batch and from barrel to barrel and what is the mean strength of the chemical in these stored barrels? How prccisc is that estimate?
How would you describe the function of a generalized linear regression model?
What do the Fitted (predicted) values and Residuals represent? For example, there is one record in the data set with height = 54 and weight = 110. Please use these numbers to explain what is the fitted value and what is the residual.
The length of human pregnancies from conception
Suppose 10 teenagers are selected randomly to be interviewed about how they listen to music.
How many turnstiles must be opened in each direction every morning and describe the suppositions underlying the solution of this problem by using queuing theory.
Test the Administration's claim
A student surveyed 200 students about hours a night spent sleeping, the data showed a normal distribution with a mean of 6.8 hours and a standard deviation of 0.75 hours. what percentage of the students spent less than 4.55 hours sleeping per..
What is the aim of Ms. Gorman research?
consider the file showing data for magazine titles the cost of a full-color page advertisement page audience
Each of the following proportions is based on survey responses. For each proportion, use the ±2 rule of thumb to determine the 95 percent confidence interval. When asked if they are satisfied with their financial situation, .29 said "very satisfied" ..
Find the probability of given case.
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