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






2. 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






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






4. A variable that names categories (whether with words or numerals)






5. 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






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






7. Consists of the individuals who are conveniently available






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






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






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






11. The number of individuals in a sample






12. A scatterplot shows an association that is this if there is little scatter around the underlying relationship






13. Summarized with the mean or the median






14. 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






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






16. Displays data that change over time






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






18. Design Randomization occurring within blocks






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






20. Useful family of models for unimodal - symmetric distributions






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






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






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






25. A treatment known to have no effect - administered so that all groups experience the same conditions






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






27. The square root of the variance






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






29. Found by summing all the data values and dividing by the count






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






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






32. The difference between the first and third quartiles






33. A variable whose values are compared across different treatments






34. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set






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






36. 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






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






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






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






40. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population






41. Anything in a survey design that influences response






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






43. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups






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






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






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






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






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






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






50. The natural tendency of randomly drawn samples to differ