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Chi square test for the independence of attribute.
To find out whether two categorical variables are independent, one should use the:
1. 1. ANOVA test.
2. 2. Tukey-Kramer multiple comparison procedure.
3. 3. chi-square test.
4. 4. F-test.
Draw the suitable 2x2 table, compute and interpret suitable measure of association.
What conclusions can you draw about the nature of the relationship between anxiety and exam performance?
The width of a confidence interval will be:
Assume you want to repeat the FDA experiment to achieve an estimation of the mean μ of the amount of caffeine content of a cup of coffee.
The manufacturer of a coffee dispensing machine claims the ounces per cup is normally distributed with population mean equal to 8 ounces and standard deviation equal to 0.9 ounces. If 50 cups of coffee were measured, what is the probability that.
State in each of given cases whether you would expect relationship between given variables to be positive or negative or neither.
For all questions, clearly explain/show your answers. For the Analysis section, justify your answers with the appropriate graphs, statistics, equations, etc.
Create the indicated confidence interval for population mean µ using a t- distribution.
Compute the probability of seven consecutive points falling above the centerline given a stable process. Is this probability associated with type I or type II error?
How large random sample of potential voters will be required to evaluate result with 95% confidence and with margin of error of plus and minus 3%?
A company tracked the number of complaints it received during the first 6 months of last year, as shown in the following table:
Using variables below, (1) mention all research questions that would be replied with a Two Way ANOVA test, (2) make null hypotheses for these questions.
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