1.Provide a "real-world" example of each of the terms below.

1. Qualitative variable.
2. Discrete quantitative variable.
3. Continuous quantitative variable.
4. Descriptive statistic. What is the rationale for calling it descriptive?
5. Inferential statistic. What is the rationale for calling it inferential?

2.A recent study reported a finding that heavy alcohol consumption was correlated with an increased risk of developing lung cancer.

1. Would it be appropriate to conclude from this that heavy drinking causes lung cancer? Explain the rationale for your answer.
2. Propose an alternative explanation for the results. I.e., how else might you account for the observed association between alcohol consumption and lung cancer?
3. If you were to calculate a correlational coefficient for these two variables and it turned out to be .5 how would you interpret this relationship? I.e., what is the relationship between the two variables?
4. How would you interpret the coefficient of determination for the outcome described above where thervalue was determined to be .5? What is the importance of this result?
5. What additional research might you suggest to add additional clarity to the results reported above? Why?

3.Provide an example of how you could use each of the sampling methods below.

1. Simple Random Sampling
2. Stratified Sampling
3. Cluster Sampling
4. Systematic Sampling
5. Convenience Sampling

4.Use an example to describe an appropriate use of each of the chart types below. Why might one be better than another for a particular use?

1. Pie chart
2. Bar chart
3. Histogram
4. Stem and leaf display
5. Box plot

5.Provide examples of each of the following terms and explain why the example illustrates the related concept.

1. Independent events
2. Dependent events
3. Complementary events
4. Union of events
5. Intersection of events