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Determine what analysis would you do on each problem (ie, one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)? Then state the null and alternative hypothesis for a problem.
The IQ's of two different groups of 24 children were measured to see if there was a difference between the mean IQ scores of the groups.
If the population mean is estimated within two days, how many salespeople should be sampled?
Test hypothesis that both propellants have same mean burning rate. Utilize α=0.05. Compute the P value.
The data below shows the time to process an inpatient admission, before and after a system usage training session was given. The following hypotheses were formulated for this study.
Find the probability that at least one subject experiences headaches. Is it unusual to have at least one of six subjects experience headaches?
Is there any evidence that the different teatments produced different responses? If so, which one seems to work best?
Would the method described above be a good way to determine which team was taller (explain why or why not)?
Compute the 95% confidence interval around the mean of each of the three groups and plot the confidence interval in the space provided above.
The hypotheses tested by the one-way ANOVA F test - Evaluate the P-value of the ANOVA F test
What can we conclude from these figures at a level of significance of .01?
The p-value for a test statistic is .085, what is the minimum level of significance required to reject the null hypothesis?
P(A 1 )= .20, P(A 2 ), and P(A 3 )= .40. P(B 1 I A 1 ) = .25. P(B 1 I A 2 ) = .05. P(B 1 I A 3 )=.10. Use Bayes' theorem to determine P(A 3 I B 1 )
The width of a confidence interval will be:
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