# AP Statistics Vocab

Subjects : statistics, ap
Instructions:
• Answer 50 questions in 15 minutes.
• If you are not ready to take this test, you can study here.
• Match each statement with the correct term.
• Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Holds information about the same characteristic for many cases

2. Extreme values that don't appear to belong with the rest of the data

3. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion

4. The difference between the first and third quartiles

5. The ith ___ is the number that falls above i% of the data

6. A sample that consists of the entire population

7. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment

8. The square root of the variance

9. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it

10. A representative subset of a population - examined in hope of learning about the population

11. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals

12. The difference between the lowest and highest values in a data set

13. When omitting a point from the data results in a very different regression model - the point is an ____

14. Summarized with the mean or the median

15. The sequence of several components representing events that we are pretending will take place

16. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median

17. Summarized with the standard deviation - interquartile range - and range

18. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum

19. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant

20. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value

21. When either those who could influence or evaluate the results is blinded

22. When an observed difference is too large for us to believe that is is likely to have occurred naturally

23. When doing this - consider their shape - center - and spread

24. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one

25. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____

26. Control - randomize - replicate - block

27. Displays counts and - sometimes - percentages of individuals falling into named categories on two or more variables; categorizes the individuals on all variables at once - to reveal possible patterns in one variable that may be contingent on the cate

28. A sample drawn by selecting individuals systematically from a sampling frame

29. This of sample size n is one in which each set of n elements in the population has an equal chance of selection

30. An arrangement of data in which each row represents a case and each column represents a variable

31. An event is this if we know what outcomes could happen - but not which particular values will happen

32. A numerical measure of the direction and strength of a linear association

33. A positive ____ or association means that - in general - as one variable increases - so does the other; when increases in one variable generally correspond to decreases in the other - the association is negative

34. A list of individuals from whom the sample is drawn

35. Numerically valued attribute of a model

36. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0

37. The distribution of a variable restricting the who to consider only a smaller group of individuals

38. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams

39. Shows the relationship between two quantitative variables measured on the same cases

40. An individual result of a component of a simulation

41. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters

42. Uses adjacent bars to show the distribution of vales in a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in an interval of values

43. Found by summing all the data values and dividing by the count

44. A point that does not fit the overall pattern seen in the scatterplot

45. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population

46. A scatterplot shows an association that is this if there is little scatter around the underlying relationship

47. An equation of the form y-hat = b0 + b1x

48. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values

49. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean

50. Graphs a dot for each case against a single axis