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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. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0






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






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






4. The square root of the variance






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






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






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






8. The ____ we care about most is straight






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






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






11. 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






12. The natural tendency of randomly drawn samples to differ






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






14. Consists of the individuals who are conveniently available






15. Shows the relationship between two quantitative variables measured on the same cases






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






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






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






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






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






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






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






23. These are hard to generate - but several websites offer an unlimited supply of equally likely random values






24. 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






25. 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






26. Useful family of models for unimodal - symmetric distributions






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






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






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






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






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






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






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






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






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






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






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






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






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






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






41. 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






42. An individual result of a component of a simulation






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






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






45. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value






46. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant






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






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






49. An equation of the form y-hat = b0 + b1x






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






Can you answer 50 questions in 15 minutes?



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