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The Travel Weekly International Air Transport Association survey asked business travelers regarding the purpose for their most recent business trip. 19% responded that it was for an internal company visit. Suppose 950 business travelers are randomly selected.
a. What is the probability that more than 25% of the business travelers say the reason for the most recent business trip was an internal company visit?
b. What is the probability that between 15% and 20% of the business travelers say that the reason for the their most recent business trip was an internal company?
c. What is the probability that between 133 and171 of the business travelers say the reason for their most recent business trip was an internal company visit?
In fitting the simple linear regression model Yi ~ N (α + β xi, σ 2 ) to the following data:
Pretend you are in charge of a packaging equipment company that is filling boxes of cereal. From past experience we know the population's mean weight of the filled boxes is 300 grams (and we know the distribution of grams is approximately normal).
a random sample of 100 doctors was selected. Suppose you reject the null hypothesis. What conclusion can you draw?
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Environmental Protection Agency (EPA) fuel economy estimates for automobile models tested recently predicted a mean of 24.80 mpg and a standard deviation of 6.2mpg for highway driving. Assume that a normal model can be applied.
Construct a decision table for this problem. Include all conditional values and probabilities in the table.
If an applicant is randomly selected, find the probability of a rating that is between 200 and 275.
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At the .05 level of significance, is there evidence of a difference in variability in the shipping time between the two outlets? What decision should the carpet manufacturer make? Please provide step by step solution.
Using the dataset, produce a graph of per capita GDP for Argentina, China, and Canada from 1965 to 1995. Is inequality between these countries increasing?
Formulating null and alternative hypothesis to test the claim averaging about $5000.
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