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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. Graphs a dot for each case against a single axis






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






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






4. Value calculated from data to summarize aspects of the data






5. The natural tendency of randomly drawn samples to differ






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






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






8. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population






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






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






11. 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






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






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






14. 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






15. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value






16. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small






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






18. 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






19. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it






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






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






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






23. The number of individuals in a sample






24. The square root of the variance






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






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






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






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






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






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






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






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






33. Systematically recorded information - whether numbers or labels - together with its context






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






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






36. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data






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






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






39. An individual about whom or which we have data






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






41. Numerically valued attribute of a model






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






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






44. Sampling schemes that combine several sampling methods






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






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






47. When doing this - consider their shape - center - and spread






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






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






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