Readiness Assessment Quizzes (RAQs)
| Date Assigned | Date of quiz | Description |
|---|---|---|
| Mon Jan. 9 | Wed Jan. 18 |
Read Chapter 2 of the textbook in its entirety. Be able to answer the following
questions: What is the difference between a statistic and a parameter? What is the difference between categorical data and quantitative (or measurement or numerical) data? What is the difference between ordinal and non-ordinal (or nominal, a word not in your book) categorical data? Comparing a bar graph and a histogram, which depicts categorical data and which depicts quantitative data? When given data on a single categorical variable, how do you calculate a table of percentages by hand? Are five-number summaries applicable to categorical or quantitative data? What five numbers make up a five-number summary? How do you calculate each of them by hand? How do you calculate the sample mean by hand? How do you calculate the sample standard deviation by hand? What is the empirical rule for normal (bell-shaped, roughly speaking) histograms? Given an observed value, a mean, and a standard deviation, how do you calculate a standardized score (z-score)? |
| Wed Jan. 18 | Mon Jan. 23 |
In Chapter 11, read the introduction and sections 11.1, 11.2, 11.6, and
11.7 (pages 355-359, 376-380). Be able to answer the following
questions: What are the five steps in any hypothesis test? What is a null hypothesis (see box on p. 356)? What is an alternative hypothesis (see box on p. 357)? What is the difference between a one-sided hypothesis and a two-sided hypothesis? What is the "innocent until proven guilty" logic of a hypothesis test? What is the difference between statistical significance and practical significance? What are type 1 and type 2 errors? What are false positives and false negatives? How do they relate to type 1 and type 2 errors? |
| Wed Feb. 1 | Mon Feb. 6 | In Chapter 4, read Sections 4.1 through 4.3 (pages 89-107). Be able to answer the following
questions: How does the population size impact the required sample size (bottom of page 89)? What is the difference between a sample and a census? What is the conservative formula for margin of error for a proportion? What are some advantages of using a sample instead of a census? What are the three types of bias named on page 93? What is a simple random sample (middle of page 94)? What is a stratified random sample? What is a cluster sample? What is a systematic sample? How does random digit dialing work? |
| Mon Feb. 27 | Fri Mar. 3 |
If you won't be in class on Friday, March 3, please schedule a time to take the RAQ BEFORE you leave.
In Chapter 3, read Sections 3.1 through 3.4 (pages 59-77). Be able to answer the following questions: Are the topics of chapters 10-13 (for example) considered descriptive or inferential statistics? What is the fundamental rule for using data for inference? What is the definition of a simple random sample? What is the difference between an observational study and an experiment? In an experiment, what are treatments? In Case Study 1.5 (for example), which variable is explanatory and which is response? What are some synonyms for explanatory and response? What is the definition of a confounding, or lurking, variable? What is the confounding variable in example 3.4? Which type of study (randomized experiment or observational study) allows one to determine cause and effect? In (for example) an experiment using a treatment group and a control group, which group would get the new medication? What is a placebo? What is the placebo effect? What is a single-blind experiment? What is a double-blind experiment? What is the difference between a prospective study and a retrospective study? |
| Fri Mar. 17 | Wed Mar. 22 | Read Chapter 6 (pages 171-192). Be able to answer the following
questions: What is the difference between row percents and column percents in a contingency table? For example 6.1 on page 172, how do you compute each of the following? -- The risk of divorce for both smokers and nonsmokers -- The relative risk of divorce for smokers compared to nonsmokers -- The percent increase in risk of divorce for smokers compared to nonsmokers -- The odds of divorce for both smokers and nonsmokers -- The odds ratio of divorce for smokers and nonsmokers What are some examples of "misleading statistics about risk"? What is the name for the phenomenon in which the effect of a confounding variable is so strong that it reverses the apparent relationship between two variables? For calculating a chi-square statistic, what is the formula for expected counts in a cell of a contingency table? A chi-square test won't work if the sample is too small. What is the rule of thumb for determining when it is okay to proceed with the test? What is the formula for df (degrees of freedom) for a chi-square test? (It's buried inside an Excel Tip) What is the difference between practical significance and statistical significance? How did the U.S. supreme court use the results of a chi-square test? (or, what did an individual's sex have to do with the ability to buy beer in Oklahoma in the 1970's?) |
| Wed Mar. 22 | Wed Mar. 29 | Read Sections 5.1 and 5.2 (pages 131-145). Be able to answer questions about anything other than formulas. |
| Mon Apr. 10 | Fri Apr. 14 | Read Section 16.1 (pages 561-569). Be able to answer questions about anything
other than notation,
including the following: What is the purpose of ANOVA? What is the conceptual way to view the F-statistic? What are the hypotheses for an ANOVA test? What are the assumptions and necessary conditions for the ANOVA F-test? Does the ANOVA test use a pooled or unpooled formula? How are the numerator and denominator degrees of freedom calculated for an F-statistic? What are multiple comparisons? Why is it necessary to control the overall family type I error rate when using multiple comparisons? What is the name of a procedure that controls the overall family type I error rate when making multiple comparisons? |