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AP Statistics Vocab

Subjects : statistics, ap
Instructions:
  • Answer 50 questions in 15 minutes.
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  • Match each statement with the correct term.
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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 sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum






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






3. The square root of the variance






4. 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






5. 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






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






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






8. 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






9. Consists of the individuals who are conveniently available






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






11. Individuals on whom an experiment is performed






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






13. 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






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






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






16. A distribution that's roughly flat






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






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






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






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






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






22. 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






23. 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






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






25. A variable whose values are compared across different treatments






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






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






28. A sample that consists of the entire population






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






30. Summarized with the mean or the median






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






32. An individual result of a component of a simulation






33. Places in order the effects that many re-expressions have on the data






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






35. A variable whose levels are controlled by the experimenter






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






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






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






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






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






41. The natural tendency of randomly drawn samples to differ






42. A distribution is this if it's not symmetric and one tail stretches out farther than the other






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






44. 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






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






46. 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






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






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






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






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






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