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Revenue of Large Businesses A researcher estimates that the average revenue of the largest businesses in the United States is greater than $24 billion. A sample of 50 companies is selected, and the revenues (in billions of dollars) are shown. At α = 0.05, is there enough evidence to support the researcher's claim? σ = 28.7.
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The average score for the sample is M = 76. For the general population of college students, writing scores form a normal distribution with a mean of µ = 70.
Using the finite population correction factor, compute the standard error for each of the three firms given a sample of size 50.
Suppose that you select a 50 families sample. Which is the form expected from the distribution of the average or median of the sample?
Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?
Enter relative proportions of the 3 samples in order (20,50,30) in "Expected values" area.
A brand name has 60% recognition rate. if the owner of the brand wants to verify that rate by beginning with a small sample of 5 randomly selected consumers, find the probability that exactly 3 of the 5 consumers recognize the brand name. Also fin..
Assume that a sample is drawn and z(α/2) = 1.65 and σ = 35. Answer the following questions. (A) If the Maximum Error of Estimate is 0.04 for this sample, what would be the sample size?
If the sum of the squared deviations about the regression line is SSE = 40.0, what is the coefficient of determination?
Explain what property associated with the Central Limit Theorem you consider the most important contribution, enabling the use of the normal distribution for sample means.
For each of the following, indicate whether or not you would expect it to have a strong seasonal component and why.
Consider the following age data, which is the result of selecting a random sample of 20 United Airlines pilots.
To conduct a follow-up study that would provide 95% confidence that the point estimate is correct to within plus-or-minus 0.04 of the population proportion, how large a sample size is required?
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