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






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






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






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






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






6. A sample that consists of the entire population






7. The ____ we care about most is straight






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






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






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






11. A normal model with a mean of 0 and a standard deviation of 1






12. Holds information about the same characteristic for many cases






13. 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






14. 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






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






16. Numerically valued attribute of a model






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






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






19. Anything in a survey design that influences response






20. Models random events by using random numbers to specify event outcomes with relative frequencies that correspond to the true real-world relative frequencies we are trying to model






21. An equation or formula that simplifies and represents reality






22. A variable whose levels are controlled by the experimenter






23. 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






24. A distribution that's roughly flat






25. An individual about whom or which we have data






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






27. Graphs a dot for each case against a single axis






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






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






30. 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


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






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






33. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it






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






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






36. 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






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






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






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






40. 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






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






42. The difference between the first and third quartiles






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






44. 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






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






46. Summarized with the standard deviation - interquartile range - and range






47. 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






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






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






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