1. Anticipating Patterns Statistical Inference
Which Test?
100
400
300
200
500
Exploring Data
100
400
300
200
500
Planning a Study
100
400
300
200
500
Anticipating Patterns
100
400
300
200
500
Statistical Inference
100
400
300
200
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
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5. What is a matched-pair t-test?
200

6. Testing the average SAT scores of males vs
Testing the average SAT scores of males vs. females from a sample of 50 each at OHS
300
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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
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9. What is a one-sample t-test for mean?
400

10. Also known as a test of homogeneity of proportions
500
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11. What is a Chi-Squared Test?
500

12. μ = 125, σ = 10, and x = 150, then z = ?
100
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13. What is z = 2.5?
100

14. mode > median > mean
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
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17. What is categorical (qualitative) data?
300

18. This indicates the calculated linear model is not of good fit
400
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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
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21. What is a negative residual?
500

22. Most useful in establishing cause-and-effect relationships
100
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23. What is a controlled experiment?
100

24. Sampling everyone in a classroom from a random selection of classrooms
200
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25. What is clustering?
200

26. This is used in experiments to reduce variation from extraneous factors by creating similar groups
300
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27. What is blocking?
300

28. These are the three main components of a well-designed experiment.
400
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29. What is randomization, control, and replication?
400

30. These are the 3 main types of bias in sampling procedures.
500
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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
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33. What is
E(Y – X) = 20 – 8 = 12
and sy-x = √( ) = 5?
100

34. Formula for the mean value of a discrete random variable x
200
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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
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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
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39. 3. n must be sufficiently large (generally n ≥ 30)
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
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41. 3. n must be sufficiently large (np ≥10 and n(1-p) ≥10 ) ?
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
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43. What is never?
100

44. Rejected null hypothesis when it was actually true
200
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45. What is Type I Error?
200

46. Estimated standard deviation of the statistic
300
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47. What is standard error of a statistic?
300

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

51. What is 601 voters?
500