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Single group post-test and internal validity threats.
Answer the question either by writing the design name or by describing the design using standard notation (X = program, O=observation, R= random assignment). For each design, please discuss all threats to internal validity.
1. Design: Single group post-test only
2. Internal validity threats
The following data was randomly drawn from a normal population. At an alpha level of .05, does the mean of the population differ significantly from -150. Use Excel.
If light bulbs failure times are identically and independently distributed, what shape would you expect for the hazard function of the light bulbs? Draw a picture and explain.
From past estimates, manager thinks that about 4% of customers have expressed dissatisfaction. What sample size must you use for this survey?
The meaning of the standard deviation, and any other relevant comments you would have if you were a member of the committee evaluating this study to determine if more money should be granted to these researchers.
A professor of math refutes the claim that the average student spends 3 hours studying for the midterm exam. Which hypothesis is used to test the claim?
Evaluate the probability that patient taking drug will experience flu symptoms.
Harry's hamberger is a restaurant where customers form a single line for 1 cashier. The average numbers of arrivals is 1 per minute and the Poison distribution accurately defines this rate.
Suppose that p = P(female birth) = 0.5. A couple wishes to have exactly one female child in their family. They will have children until they have a girl, then they will stop having children. What is the probability that the family has three childre..
Use the Rare Event Rule. Does the evidence support the claim?
Solve using the quadratic formula: Radicands must be enclosed within
What is the standard deviation of the sampling distribution of p(hat) the proportion of all rolls of the die that show a 1 or a 2? 3.) describe the shape of the sampling distribution of p(hat).
In a regression model involving 30 observations, the following estimated regression equation was obtained:
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