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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. Anything in a survey design that influences response






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






3. Sampling schemes that combine several sampling methods






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






5. A distribution that's roughly flat






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






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






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






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






10. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups






11. The ____ we care about most is straight






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. 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






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






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






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






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






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






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






20. The difference between the first and third quartiles






21. 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






22. 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






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






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






25. A variable whose values are compared across different treatments






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






27. 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






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






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






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






31. Useful family of models for unimodal - symmetric distributions






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






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






34. Numerically valued attribute of a model






35. An individual result of a component of a simulation






36. A sample drawn by selecting individuals systematically from a sampling frame






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






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






39. Control - randomize - replicate - block






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






41. The middle value with half of the data above and half below it






42. The natural tendency of randomly drawn samples to differ






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






44. The number of individuals in a sample






45. Distributions with two modes






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






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






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






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