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. The square root of the variance






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






3. Anything in a survey design that influences response






4. 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






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






6. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped






7. 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






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






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






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






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






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






13. 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


14. A variable whose levels are controlled by the experimenter






15. Useful family of models for unimodal - symmetric distributions






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






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






18. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest






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






20. A sample that consists of the entire population






21. Summarized with the mean or the median






22. The ____ we care about most is straight






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






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






25. 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






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






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






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






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






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






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






32. 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






33. 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






34. 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






35. Numerically valued attribute of a model






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






37. Sampling schemes that combine several sampling methods






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






39. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion






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






41. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage






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






43. An individual result of a component of a simulation






44. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value






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






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






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






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






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






50. The natural tendency of randomly drawn samples to differ