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






2. An individual result of a component of a simulation






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






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






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






6. Manipulates factor levels to create treatments - randomly assigns subjects to these treatment levels - and then compares the responses of the subject groups across treatment levels






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






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






9. Holds information about the same characteristic for many cases






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






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






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






13. An individual about whom or which we have data






14. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups






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






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






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






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






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






20. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data






21. In a normal model - about 68% of values fall within 1 standard deviation of the mean - about 95% fall within 2 standard deviations of the mean - and about 99.7% fall within 3 standard deviations of the mean






22. Summarized with the mean or the median






23. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category






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






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






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






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






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






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






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






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






32. Distributions with more than two modes






33. 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






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






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






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






37. A sample that consists of the entire population






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






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






40. 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






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






42. 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






43. Anything in a survey design that influences response






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






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






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






47. The ____ we care about most is straight






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






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






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