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. Useful family of models for unimodal - symmetric distributions






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






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






4. An equation or formula that simplifies and represents reality






5. Systematically recorded information - whether numbers or labels - together with its context






6. An individual result of a component of a simulation






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






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






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






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






11. 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






12. 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


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






14. 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






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






16. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted






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






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






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






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






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






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






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






25. 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






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






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






28. 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






29. Distributions with two modes






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






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






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






33. 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






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






35. Individuals on whom an experiment is performed






36. Displays data that change over time






37. The natural tendency of randomly drawn samples to differ






38. Numerically valued attribute of a model






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






40. The square root of the variance






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






42. 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






43. Bias introduced to a sample when a large fraction of those sampled fails to respond






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






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






46. The difference between the first and third quartiles






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






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






49. 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






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