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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. Doing this is equivalent to changing its units






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






3. Gives the possible values of the variable and the frequency or relative frequency of each value






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






5. Numerically valued attribute of a model






6. 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






7. Holds information about the same characteristic for many cases






8. Control - randomize - replicate - block






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






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






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






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






13. 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






14. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated






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






16. Distributions with more than two modes






17. A display to help assess whether a distribution of data is approximately normal; if it is nearly straight - the data satisfy the nearly normal condition






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






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






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






21. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample






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






23. The number of individuals in a sample






24. Values of this record the results of each trial with respect to what we were interested in






25. 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






26. A sample that consists of the entire population






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






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






29. Displays data that change over time






30. 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






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






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






33. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes






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






35. 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






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






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






38. Models random events by using random numbers to specify event outcomes with relative frequencies that correspond to the true real-world relative frequencies we are trying to model






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






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






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






42. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other






43. An individual result of a component of a simulation






44. Consists of the individuals who are conveniently available






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






46. A distribution that's roughly flat






47. A variable whose levels are controlled by the experimenter






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






49. A numerically valued attribute of a model for a population






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