1. 2 pt 3 pt 4 pt 5pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2pt 3 pt 4pt 5 pt 1pt 2pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4pt 5 pt 1pt Data Collection ProbabilityInference Normal Distribution Correlation

2. This number describes a population.

3. What is a parameter?

4. A house in a city is randomly selected and the residents are asked about their TV watching habits. This is an example which type of sampling.

5. What is cluster sampling?

6. This is either more than 1.5 times the IQR above Q3 or below Q1.

7. What is an outlier?

8. This is generally a resistant measure of spread.

9. What is the IQR?

10. This set of numbers should be used to describe skewed distributions.

11. What is the five number summary?

12. When drawing one card from a deck this is the probability of drawing a queen or a heart.

13. What is 4/13 or 0.3077?

14. 45% of teachers at Central High School have a master’s degree, 60% have 40 credits beyond their bachelors degree, and 25% have a masters and 40 credits beyond their bachelors. This is the probability that a teacher has a masters or 40 credits beyond their bachelors.

15. What is 0.80?

16. Three cards are drawn from a deck of cards. This is the probability that at least one of them is a red card.

17. What is 0.8824?

18. The probability a kicker makes a field goal is 0.65. Given 30 field goals this is the probability he misses 12 or fewer.

19. What is 0.7802?

20. This is the number of ways you can have 22 successes in 30 trials.

21. What is 5,852,925?

22. A news report claims that the average number of hours spent on Facebook per week by teens is 16 hrs. You decide to investigate this claim by randomly sampling 35 students at a local high school. The average for your sample was 14.5 hours with a standard deviation of 4.7 hours. This is the 95% confidence interval for the mean number of hours spent on Facebook by students at this high school.

23. What is 12.885 hours to 16.115 hours?

24. A given city experiences a horrible outbreak of a disease called “RAGE” which turns people who are bitten into zombies. If the disease is diagnosed early enough it can be cured, but giving the cure to people who are not infected with “RAGE” has serious side effects. If doctors assume that a patient who comes in for “RAGE” testing is healthy what is the risk involved with a TYPE II error?

25. What is a person infected with “RAGE” goes untreated and eventually becomes a zombie who infects others?

26. The following two-way table resulted from classifying each individual in a random sample of residents of a small city according to level of education and employment status. Full TimeNot Full TimeTotal At least HS Diploma 524092 No HS Diploma 303565 Total8275157 If the null hypothesis of no association between level of education and employment status is true, this is the expected number who earned at least a high school diploma and who are employed full time?

27. What is 48.05 people?

28. The following table represents the Weights of Students in Their Freshman Year in kilograms. A claim is made that there has been significant weight loss since April. This is the most appropriate test that should be conducted here to test this claim. Student12345 April Weight 6752686971 September Weight 6753647170

29. What is a matched pairs t-test or a t-test for means given dependent samples?

30. In 1997 it was thought 35% of people had brown eyes, 45% had blue eyes, 15% had green eyes, and 5% had a color different than these three. A recent study done on 120 randomly selected people found that 41 had brown eyes, 60 had blue eyes, 16 had green, and the rest had a different color than these three. If a test of the claim that the 1997 distribution of eye color is significantly different than the recent distribution is performed this is the value of the test statistic.

31. What is 2.413 using the Chi Square Goodness of Fit Test?

32. Yards thrown per game by Tom Brady are normally distributed with mean 315 yards and standard deviation 15 yards. This is the percent of his games where he will throw between 285 yards and 345 yards.

33. What is 95% of his games?

34. This is the number of standard deviations an observation is from the mean.

35. What is a z-score or standardized score?

36. Yards thrown per game by Tom Brady are normally distributed with mean 315 yards and standard deviation 15 yards. In a randomly selected game this is the probability that Tom will throw between 298 and 320 yards.

37. What is 0.5020?

38. Yards thrown per game by Tom Brady are normally distributed with mean 315 yards and standard deviation 15 yards. In a random sample of 5 games this is the probability that the mean number of yards thrown is more than 320 yards?

39. What is 0.2280?

40. The mean number of yards per game thrown by AFC Quarterback’s is 280 yards with a standard of 17 yards. In the NFC the mean is 272 yards with a standard deviation of 12 yards. Tom Brady, an AFC quarterback, threw 315 yards in a given game. Aaron Rodgers from the NFC threw 300 yards in a given game. Which quarterback performed better with respect to their conference? Briefly explain.

41. Who is Aaron Rodgers? His amount was 2.33 standard deviations above his group’s mean versus Tom’s who’s was only 2.05 above the AFC average.

42. This statistic measures the percent of the variation in the response variable that is explained by the LSRL on the explanatory variable.

43. What is the coefficient of determination(r-squared)?

44. The equation below is an LSRL that describes the relationship between Operating Cost(y-hat) and Number of Passengers(x). y-hat=1136+14.73x This is the predicted Operating Cost for 325 passengers.

45. What is $5,923.25?

46. The equation below is an LSRL that describes the relationship between Operating Cost(y-hat) and Number of Passengers(x). y-hat=1136+14.73x This is the average Operating Cost Per Passenger.

47. What is the slope of the LSRL? In this case it is $14.73.

48. The correlation between Hours Studied and Score on the Final Exam is 0.8502. What is the new correlation if a 5 point curve is added to everyone’s final exam score?

49. What is 0.8502? Adding the same value to every point only shifts the points. It does not change the correlation.

50. The LSRL below describes the relationship between average touchdowns (y-hat) and passing yards(x) for 20 NFL quarterbacks. y-hat=6+0.0014x This is the residual for a quarterback who threw for 210 yards with 3 touchdowns.

51. What is -3.294?