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Create a real-world situation or problem that could be addressed using an independent- or related-samples t test. Create this situation or problem, that clearly identify the independent and dependent variables to study; explain whether an independent-samples or related samples t test is most appropriate and why; generate the statistical null and alternative hypotheses; describe what information the effect size would tell that the probability value would not tell; using realistic numbers for values of degrees of freedom; sample size, and t statistic, create hypothetical results.
To test whether the significant difference between two proportion test using large sample test.
In a sample of 1,000 representing a survey from the entire population, 650 people were from Laketown, and the rest of the people were from River City.
A presidential candidate's aide estimates that, among all college students, the proportion p who intend to vote in the upcoming election is at least 60%.
A social psychologist is studying college students attitudes toward drinking and driving. He is specifically interested in attitude change as a result of years in college and of viewing the consequences of drinking and driving accidents.
A researcher desires to estimate the difference in means of two populations. To accomplish this, she takes a random sample of 81 items from the first population.
Compute lower and upper quartiles of log10-balances? Determine 95% range of the balances in $s? Express in English what the two boundaries mean.
Find the probability that a standard normal random variable will assume a value between: Find a z such that 70% of the area is above that value.
A sample of 10 persons is used to measure the effectiveness of two massage techniques. The effectiveness of the techniques is measured by the number of days that pass by before the subjects feel the need for another massage session.
Below you are given a partial computer output based on a sample of 16 observations.
Two-liter plastic bottles used for bottling cola are shipped in lots of 100. Suppose the lots are 5 percent defective. Some bottles leak, some are too small, and so forth.
Girl B throws 15 times, with a prob. of success = 0.2. And girl C throws 20 times, with a probability of success equal to 0.1. Determine the probability that the target will get hit at least 12 times.
The Wilcoxon signed rank test is computed for the data and gives a value W + = 161.5. Using the Normal approximation (without the continuity correction) the P-value.
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