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






2. The ____ we care about most is straight






3. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted






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






5. Distributions with two modes






6. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two






7. An observational study in which subjects are selected and then their previous conditions or behaviors are determined






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






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






10. Individuals on whom an experiment is performed






11. 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






12. A treatment known to have no effect - administered so that all groups experience the same conditions






13. 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






14. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo






15. The most basic situation in a simulation in which something happens at random






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






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






18. The number of individuals in a sample






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






20. Control - randomize - replicate - block






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






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






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






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






25. The parts of a distribution that typically trail off on either side; they can be characterized as long or short






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






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






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






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






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






31. The square root of the variance






32. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set






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






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






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






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






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






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






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






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






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






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






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






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






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






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






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






48. An observational study in which subjects are followed to observe future outcomes






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






50. To be valid - an experiment must assign experimental units to treatment groups at random