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1. What research question(s) does the study address?
2. What is Goldberg's rationale for the study? Was the study designed to contribute to theory? Do the results of the study contribute to theory? For both questions: If so, how? If not, why not?
3. What constructs does the study address? How are they operationalized? 4. What are the independent and dependent variables in the study?
5. Name the type of design the researchers used. 6. What internal and external validity threats did the researchers address in their design? How did they address them? Are there threats they did not address? If so how does the failure to address the threats affect the researchers, interpretations of their findings? Are Goldberg's conclusions convincing? Why or why not?
At α = .05 in a left-sided test, find the β risk and power assuming that the true mean is really 380 square feet per gallon. (b) Construct a left-sided power curve, using increments of 5 square feet (400, 395, 390, 385, 380).
He surveys a sample of 40 students and finds that for the most recent semester their average cost was $430 with a standard deviation of $80. What is the test value for this hypothesis test?
Elucidate the null and alternative hypothesis for the difference among the two means. In testing the difference between the means of two.
What do you notice about the two histogrum and (therefore) about the estimates of probability of getting above 0?
suppose that 80 of the accounts are in error. What is the probability that the auditor will find that the sample proportion (P) of the accounts in error will exceedd 0.10?
Suppose a worker needs to process 400 items. The time to process each item is exponentially distributed with a mean of 2 minutes, and the processing times are independent.
Using the data for women, complete an analysis of CHD incidence in women similar to the one completed for men.
Use Excel and determine the number of each type of person that will be needed to complete the job within the allotted time and at minimum cost.
The manufacturer then changes a manufacturing process and produces another batch and again measures the MTBF. Did the change to the process improve the MTBF?
What is the value of the sample test statistic? (Test the difference p1 - p2. Do not use rounded values. Round your final answer to two decimal places.)
Given the following number of hours between breakdowns for 4 machines, are the machines significantly different? If so, how are they different? Which machine is the best? Which machine is the worst?
260 of them were manufactured by Asian automobile companies. Find the 95% confidence interval for this city's population proportion of vehicles made by Asian companies.
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