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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 measure of the direction and strength of a linear association






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






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






4. 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






5. 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






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






7. When averages are taken across different groups - they can appear to contradict the overall averages

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






9. Design Randomization occurring within blocks






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






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






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






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






15. 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






16. Consists of the individuals who are conveniently available






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






18. 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






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






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






21. Anything in a survey design that influences response






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






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






24. A positive ____ or association means that - in general - as one variable increases - so does the other; when increases in one variable generally correspond to decreases in the other - the association is negative






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






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






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






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






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






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






31. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness






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






33. 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






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






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






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






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






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






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






41. An individual about whom or which we have data






42. Sampling schemes that combine several sampling methods






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






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






45. An equation or formula that simplifies and represents reality






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






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






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






49. Distributions with two modes






50. Displays data that change over time