Test your basic knowledge |

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






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






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






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






5. 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






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






7. The number of individuals in a sample






8. Control - randomize - replicate - block






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






10. Useful family of models for unimodal - symmetric distributions






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






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






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






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






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






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

Warning: Invalid argument supplied for foreach() in /var/www/html/basicversity.com/show_quiz.php on line 183


17. Consists of the individuals who are conveniently available






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






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






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. The square root of the variance






22. These are hard to generate - but several websites offer an unlimited supply of equally likely random values






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






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






25. 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






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






27. 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






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






29. 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






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






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






32. In a statistical display - each data value should be represented by the same amount of area






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






34. 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






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






37. Numerically valued attribute of a model






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






39. Distributions with two modes






40. The square of the correlation between y and x; gives the fraction of the variability of y accounted for by the least squares linear regression on x; an overall measure of how successful the regression is in linearly relating y to x






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






42. An individual about whom or which we have data






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






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






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






46. A sample that consists of the entire population






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






48. Any attempt to force a sample to resemble specified attributes of the population






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






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