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






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






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






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






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






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






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






8. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value






9. 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






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






11. A variable whose levels are controlled by the experimenter






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






13. 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






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






15. 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






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






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






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






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






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






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






22. A sample that consists of the entire population






23. Consists of the individuals who are conveniently available






24. Displays data that change over time






25. 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






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






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






28. 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






29. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____






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






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






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






33. An individual result of a component of a simulation






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






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






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






37. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed






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






39. Useful family of models for unimodal - symmetric distributions






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






41. 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






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






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






44. 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






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






46. Design Randomization occurring within blocks






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






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






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






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






Can you answer 50 questions in 15 minutes?



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