Test your basic knowledge |

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. A sample that consists of the entire population






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






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






4. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams






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






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






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






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






9. Distributions with more than two modes






10. The parts of a distribution that typically trail off on either side; they can be characterized as long or short






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






12. 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






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






14. The ____ we care about most is straight






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






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






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






18. Displays counts and - sometimes - percentages of individuals falling into named categories on two or more variables; categorizes the individuals on all variables at once - to reveal possible patterns in one variable that may be contingent on the cate






19. 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






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






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






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






23. A variable that names categories (whether with words or numerals)






24. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness






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






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






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






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






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






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






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






32. 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






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






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






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






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






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






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






39. 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






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






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






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






43. Sampling schemes that combine several sampling methods






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






45. 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






46. Consists of the individuals who are conveniently available






47. Displays data that change over time






48. Individuals on whom an experiment is performed






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






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