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 data that change over time






2. Numerically valued attribute of a model






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






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






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






6. 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






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






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






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






10. 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






11. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR






12. 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






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






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






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






16. A variable whose levels are controlled by the experimenter






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






18. 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






19. An individual result of a component of a simulation






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






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






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






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






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






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






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






27. A variable whose values are compared across different treatments






28. 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






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






30. The natural tendency of randomly drawn samples to differ






31. Distributions with two modes






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






33. Doing this is equivalent to changing its units






34. A distribution that's roughly flat






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






36. Places in order the effects that many re-expressions have on the data






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






38. An observational study in which subjects are selected and then their previous conditions or behaviors are determined






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






40. 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






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






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






43. 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


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






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






46. A numerical measure of the direction and strength of a linear association






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






48. 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






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






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