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






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






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






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






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






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






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






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






9. 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






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






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






12. 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






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






14. Doing this is equivalent to changing its units






15. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set






16. Individuals on whom an experiment is performed






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






18. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals






19. 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






20. The difference between the first and third quartiles






21. Distributions with two modes






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






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






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






25. 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






26. A variable whose values are compared across different treatments






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






28. A distribution that's roughly flat






29. An equation or formula that simplifies and represents reality






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






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






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






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

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






35. 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






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






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






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






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






40. 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






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






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






43. Control - randomize - replicate - block






44. An individual about whom or which we have data






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






46. Sampling schemes that combine several sampling methods






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






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






49. The number of individuals in a sample






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







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