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






2. 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






3. The square root of the variance






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






5. A variable whose values are compared across different treatments






6. 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






7. Design Randomization occurring within blocks






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






9. Distributions with more than two modes






10. Lists the categories in a categorical variable and gives the count or percentage of observations for each category






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






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






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






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






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






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






18. A sample that consists of the entire population






19. The best defense against bias - in which each individual is given a fair - random chance of selection






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






21. Numerically valued attribute of a model






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






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






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






25. Control - randomize - replicate - block






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






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






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






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






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






31. 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






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






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






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






35. Displays data that change over time






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






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






38. 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






39. A numerical summary of how tightly the values are clustered around the 'center'






40. Sampling schemes that combine several sampling methods






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






42. Consists of the individuals who are conveniently available






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






44. Value found by subtracting the mean and dividing by the standard deviation






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






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






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






48. Doing this is equivalent to changing its units






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






50. Summarized with the mean or the median