1. Marginal Distribution Conditional Distribution

2. Side by Side Bar Graph Segmented Bar Graph Dotplot Stemplot Histogram

3. When examining a distribution, what 3 things do you address?

4. Five number summary IQR Resistant

5. Percentiles Z-score Cumulative frequency graph Transforming Data

6. Standard deviation Variance

7. Normal Distribution 68 – 95 – 99.7 Rule Table A

8. Scatterplot Explanatory Variable Response Variable

9. When examining a scatterplot, how do you describe it?

10. Correlation r Coefficient of Determination r sq Extrapolation

11. Least squares regression line Residuals Residual Plot

12. Sample survey SRS Stratified random sample Cluster

13. Bias Sampling errors Undercoverage Voluntary response Convenience

14. Non-sampling errors Nonresponse Response bias

15. Observational studies Treatments Experiments Experimental units Single and Double Blind Blocks Matched Pairs

16. Law of large numbers Rules of Probability Simulation

17. Mutually exclusive or Disjoint Independent

18. Tree diagram Venn diagram Rules

19. Discrete random variable Expected value E(X) Variance Continuous random variable

20. Linear transformation Means Variances

21. Binomial distribution Mean (formula) Standard deviation (formula)

22. Population - parameter Sample - statistic Unbiased or Biased Estimator Sampling distributions

23. Sample proportions Mean (same) Standard deviation (formula) Sample means Mean (same) Standard deviation (formula)

24. Confidence interval (formula sheet) Critical value Point estimate Standard Error (standard deviation) Margin of Error

25. Estimating a population proportion Conditions 1 or 2 prop z-interval for population proportions State, Plan, Do, Conclude (formula sheet)

26. Estimating a population mean 1 or 2 sample t-interval for population means (formula sheet) State, Plan, Do, Conclude Conditions

27. Significance Tests 1 prop z-test for proportions 2 prop z-tests for proportions 1 sample t-test for means 2 sample t-tests for means Paired tests

28. Stating the Hypothesis Conditions

29. Chi-Square Distributions Goodness of Fit Independence/Association Homogeneity Conditions Observed and Expected Counts

30. Inference for Slope Regression df = n - 2