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Q1) Market research firm wishes to conduct survey to evaluate average amount spent by visitors to within $20. History tells us population standard deviation is $398.
a) How large does my random sample size (n) require to be at 95% confidence interval?
b) How large does my random sample size (n) require to at 98% confidence interval?
Q2) A researcher claims average Hotel Rate in San Diego CA is $156/night in the month of November 2009. You think this is low, and wish to prove average rate is higher, so you arbitrarily gather sample of 25 data points from different hotels on random dates in that month. You determine the average rate of 168 with standard deviation of 30. By using significance level a = .05, and suppose a normal distribution what does evidence conclude?
A sample of 50 provided a sample mean of 14.15. The population standard deviation is 3.
Set-up/solve the problem graphically. (How many ceiling fans and how many floor fans should be made?)
Multiple comparison procedures are going to be done using the Bonferroni method with α = 0.10. The value of t** is 2.2426. The smallest minimum significant difference (MSD) for finding a difference between groups is computed as 17.68. The correct ..
Heights of 18-year-old men are approximately normally distributed, with mean 68 inches and standard deviation 3 inches.
Below is a normal plot of residuals from a regression. Does the plot indicate any problems with the assumption that the residuals are Normally distributed
Graph the distribution using a histogram. Calculate the mean and standard deviation.
What are the best-case and worst-case outcomes the owner may face on this product if she implements your suggestion?
Is there any evidence that the different teatments produced different responses? If so, which one seems to work best?
Conduct a hypothesis test using H 0 : σ 2 = .009216 to see whether the sample data indicate that the variability in interest rates changed.
Compute mean, standard deviation, coefficient of variation and 5 key percentiles for these data.
Explain in words general pattern of correlation is statistically important.
The firm examined 35 randomly chosen fax transmissions during the next year, yielding a sample mean of 14.44 with a standard deviation of 4.45 pages.
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