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Please identify a research question that can be addressed with a hypothesis test. An example might be to identify the presence of bacteria in a batch of milk.
Define your research question as a statement.
What is your measurement parameter?
What is the critical value?
Now express your research question as a null and an alternate hypothesis.
Define the meaning of a Type I error and a Type II error, the meaning in terms of the correctness of your response to the situation. My example might mean we sell milk that contains bacterial contamination and our customers get sick or we incur the huge cost of a recall.
Consider the risk posed by your research question. What level of significance should your choose? Justify your choice in terms of the probability of making a Type I error and the probability of making a Type II error.
There are three versions of a board game released - version 1, version 2, and version 3. The versions are distributed equally and evenly among all potential sellers of board games.
If a proposal evaluator randomly selected two proposals, what is the probability that both of them met the specified?
The margin of error for polling results is typically determined as the half-width of a 95% confidence interval. With respect to a particular ballot proposition
The cholesterol concentration in the yolks of each of a sample of 22 randomly selected eggs laid by free range chickens were found to have a mean value of 9.38 mg/g of yolk and a standard deviation of 1.62 mg/g.
Suppose the random variable x is best described by a normal distribution with µ = 24 and σ = 2.7. Find the z-score that corresponds to each of the following x values.
If the loss of weight of customers at the end of their first month is normally distributed with a mean of 6.7lbs and a standard deviation of 0.81lbs
Using the following data, test the question that an equal number of Democrats, Republicans, and Independents voted during the most recent election.
A manufacturer wishes to estimate the proportion of washing machines leaving the factory that is defective. How large a sample should she check in order to be 93 percent confident that the true proportion is estimated to within 0.014?
What is the best estimate of the average tread life for the entire population of these tires?
How large should n be so that a 90% confidence interval for µ has a margin of error and What is the P-value for a test of the hypotheses
The owner of a mail-order catalog would like to compare her sales with the geographic distribution of the population. According to the United States Bureau of the Census
What does r 2 of .73 tell us? Is this a strong or weak correlation? How can you tell?
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