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AP Statistics Vocab

Subjects : statistics, ap
  • Answer 50 questions in 15 minutes.
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  • Match each statement with the correct term.
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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. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____

2. An individual about whom or which we have data

3. A distribution is this if it's not symmetric and one tail stretches out farther than the other

4. When groups of experimental units are similar - it is a good idea to gather them together into these

5. Distributions with more than two modes

6. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness

7. Value found by subtracting the mean and dividing by the standard deviation

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

9. The specific values that the experimenter chooses for a factor

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

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

12. The number of individuals in a sample

13. The middle value with half of the data above and half below it

14. Systematically recorded information - whether numbers or labels - together with its context

15. The sum of squared deviations from the mean - divided by the count minus one

16. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other

17. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR

18. A variable in which the numbers act as numerical values; always has units

19. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related

20. The ____ we care about most is straight

21. A sampling design in which entire groups are chosen at random

22. A variable whose values are compared across different treatments

23. In a statistical display - each data value should be represented by the same amount of area

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

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

26. These are hard to generate - but several websites offer an unlimited supply of equally likely random values

27. Sampling schemes that combine several sampling methods

28. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed

29. A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population

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

31. Value calculated from data to summarize aspects of the data

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

33. Gives a value in 'y-units per x-unit'; changes of one unit in x are associated with changes of b1 units in predicted values of y

34. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small

35. The distribution of either variable alone in a contingency table; the counts or percentages are the totals found in the margins (last row or column) of the table

36. Shows quantitative data values in a way that sketches the distribution of the data

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

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

39. Bias introduced to a sample when a large fraction of those sampled fails to respond

40. Numerically valued attribute of a model

41. A study based on data in which no manipulation of factors has been employed

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

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

44. An individual result of a component of a simulation

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

46. A variable that names categories (whether with words or numerals)

47. When both those who could influence and evaluate the results are blinded

48. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value

49. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units

50. Lists the categories in a categorical variable and gives the count or percentage of observations for each category