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






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






3. Sampling schemes that combine several sampling methods






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






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






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






7. Shows a bar representing the count of each category in a categorical variable






8. Individuals on whom an experiment is performed






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






10. 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






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






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






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






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






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






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






17. An individual about whom or which we have data






18. Doing this is equivalent to changing its units






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






20. The entire group of individuals or instances about whom we hope to learn






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






22. 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






23. When averages are taken across different groups - they can appear to contradict the overall averages


24. Summarized with the mean or the median






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






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






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






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






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






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






31. An individual result of a component of a simulation






32. Distributions with two modes






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






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






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






36. An equation or formula that simplifies and represents reality






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






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






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






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






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






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






43. A numerical summary of how tightly the values are clustered around the 'center'






44. The difference between the first and third quartiles






45. A variable whose values are compared across different treatments






46. A sample that consists of the entire population






47. The best defense against bias - in which each individual is given a fair - random chance of selection






48. Found by substituting the x-value in the regression equation; they're the values on the fitted line






49. All experimental units have an equal chance of receiving any treatment






50. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below