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In the year 2006 the mean fare to fly from Charlotte, North Carolina, to Seattle, Washington, on a discount ticket was $267. A random sample of round-trip discount fares on this route last month gives:
$321 $286 $290 $330 $310 $250 $270 $280 $299 $265 $291 $275 $28
At the .01 significance level can we conclude that the mean fare has increased? What is the p-value?
Briefly explain how the standard deviation influences outcome of hypothesis test. How does σ influence measures of effect size?
Determine the sample size needed in order to be 99% confident that the sample proportion of the current customer accounts is within .03 of the true proportion of all current accounts for this company.
Describe why the normal distribution can be used as an approximation to binomial distribution. What conditions should be met to use the normal distribution to approximate the binomial distribution? Why is a correction for continuity essential.
Test at 5% significance level null hypothesis that population mean is 40 hours against alternative that it is higher.
Evaluate the mean, the median, and the mode of the salaries. Which best describes a typical salary and Evaluate the range, variance, and standard deviation of the data set. Interpret the results in the context of the real-life setting.
All standard IQ test scores are normally distributed and are set up so that the mean score is 100. However, the standard deviation differs from test to test.
The means appear to be very close, but not the variances. At α = .05, is there a difference in variances? Show all steps clearly, including an illustration of the decision rule.
Recognize independent variable and dependent variable for this experiment. Think in your head what influences what? Or, what causes what? Cause is independent variable.
Find the probability and mean and standard deviation for given data under Binomial distribution.
If there are 12 business-class passengers and 50 tourist-class passengers on a particular flight, what are the expected value of total luggage weight and the standard deviation of the total luggage weight?
Find the regression equation and percentage of variance and test whether the equation is significant portion of the variance.
Report a table of marginal means for each level of each of the three factors.
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