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






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






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






4. Anything in a survey design that influences response






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






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






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






8. A sample that consists of the entire population






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






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






11. 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






12. This of sample size n is one in which each set of n elements in the population has an equal chance of selection






13. 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






14. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum






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






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






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






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






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






20. Bias introduced to a sample when a large fraction of those sampled fails to respond






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






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






24. 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






25. Sampling schemes that combine several sampling methods






26. Individuals on whom an experiment is performed






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






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






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






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






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






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






33. An individual result of a component of a simulation






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






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






36. A distribution that's roughly flat






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

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






39. An individual about whom or which we have data






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






41. 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






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






43. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample






44. Control - randomize - replicate - block






45. The ith ___ is the number that falls above i% of the data






46. 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






47. Design Randomization occurring within blocks






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






49. 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






50. Displays data that change over time







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