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






2. 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






3. Doing this is equivalent to changing its units






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






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






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






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






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






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






10. The ____ we care about most is straight






11. 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






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






13. 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






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






15. To be valid - an experiment must assign experimental units to treatment groups at random






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






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






18. Control - randomize - replicate - block






19. 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






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






21. 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


22. 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






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






24. 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






25. Holds information about the same characteristic for many cases






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






27. Consists of the individuals who are conveniently available






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






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






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






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






32. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other






33. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category






34. All experimental units have an equal chance of receiving any treatment






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






36. Summarized with the mean or the median






37. 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






38. 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






39. The parts of a distribution that typically trail off on either side; they can be characterized as long or short






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






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






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






43. Individuals on whom an experiment is performed






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






45. The natural tendency of randomly drawn samples to differ






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






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






48. 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






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






50. Sampling schemes that combine several sampling methods