Which Test?

1. Which Test? Planning a Study Exploring Data Statistical Inference Anticipating Patterns 100 100 100 100 100 500 400 300 200 500 400 300 200 400 400 200 300 300 500 300 200 500 200 400 500 End Game

2. Null hypothesis in Linear Regression Test using symbols (not words) 100 Check Answer

3. What is Ho: β1 = 0? 100

4. One-sample procedures are applied to a set of normally distributed differences from two dependent samples 200 Check Answer

5. What is a matched-pair t-test? 200

6. Testing the average SAT scores of males vs. females from a sample of 50 each at OHS 300 Check Answer

7. What is a two-sample t-test for means? 300

8. A sample of 50 senior female heights were tested against the nationally stated average of 5’6” 400 Check Answer

9. What is a one-sample t-test for mean? 400

10. Also known as a test of homogeneity of proportions 500 Check Answer

11. What is a Chi-Squared Test? 500

12. μ = 125, σ = 10, and x = 150, then z = ? 100 Check Answer

13. What is z = 2.5? 100

14. Of this type of distribution the relationship of mean, median, and mode is: mode > median > mean 200 Check Answer

15. What is right-skewed distribution? 200

16. Data of this kind can be displayed using pie charts, bar charts, or segmented bar charts 300 Check Answer

17. What is categorical (qualitative) data? 300

18. This indicates the calculated linear model is not of good fit 400 Check Answer

19. What is a pattern in the residual plot, non-linear trend in scatterplot, or very low r2 value? 400

20. This happens when the line overestimates the actual outcome 500 Check Answer

21. What is a negative residual? 500

22. Most useful in establishing cause-and-effect relationships 100 Check Answer

23. What is a controlled experiment? 100

24. Sampling everyone in a classroom from a random selection of classrooms 200 Check Answer

25. What is clustering? 200

26. This is used in experiments to reduce variation from extraneous factors by creating similar groups 300 Check Answer

27. What is blocking? 300

28. These are the three main components of a well-designed experiment. 400 Check Answer

29. What is randomization, control, and replication? 400

30. These are the 3 main types of bias in sampling procedures. 500 Check Answer

31. What is random sampling, non-sampling, and random sampling bias? 500

32. E(X) = 8, sx = 3, E(Y) = 20, and sy = 4 What is E(Y – X) and sy-x? 100 Check Answer

33. What is E(Y – X) = 20 – 8 = 12 and sy-x = √(32 + 42) = 5? 100

34. Formula for the mean value of a discrete random variable x 200 Check Answer

35. What is E(X) = Σxp(x), where x is a numerical outcome and p(x) is the assigned probability for that x outcome? 200

36. The Empirical (68-95-99.7) Rule can only be used when this is known about the data. 300 Check Answer

37. What is a normal distribution? 300

38. These are the 3 outcomes from the Sampling Distribution of X-bar and Central Limit Theorem. 400 Check Answer

39. What is 1. μX-bar = μ 2. σX-bar = σX/√n 3. n must be sufficiently large (generally n ≥ 30) NO matter the parent population’s distribution? 400

40. These are the 3 outcomes from the Sampling Distribution of p (proportion) and Central Limit Theorem. 500 Check Answer

41. What is 1. μp = p 2. σp = √(p(1-p)/n) 3. n must be sufficiently large (np ≥10 and n(1-p) ≥10 ) ? 500

42. Under what conditions would it be meaningful to construct a CI when the data consist of the entire population 100 Check Answer

43. What is never? 100

44. Rejected null hypothesis when it was actually true 200 Check Answer

45. What is Type I Error? 200

46. Estimated standard deviation of the statistic 300 Check Answer

47. What is standard error of a statistic? 300

48. Doing this divides the confidence interval size by 1.414 400 Check Answer

49. How does doubling the sample size change the CI size? 400

50. Sample size needed to obtain a 95% confidence with a margin of error of 4% for a percentage of voters 500 Check Answer