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Test your basic knowledge |
AP Statistics Vocab
Start Test
Study First
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 variable whose levels are controlled by the experimenter
factor
data
standardized value
matched
2. 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
comparing distributions
cluster sample
contingency table
double-blind
3. When groups of experimental units are similar - it is a good idea to gather them together into these
extrapolation
center
mode
block
4. When omitting a point from the data results in a very different regression model - the point is an ____
randomized block
median
influential point
rescaling
5. Values of this record the results of each trial with respect to what we were interested in
shifting
response variable
case
skewed
6. Summarized with the standard deviation - interquartile range - and range
mode
prospective study
skewed
spread
7. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
single-blind
rescaling
independence
random numbers
8. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
stratified random sample
placebo effect
shifting
leverage
9. The ____ we care about most is straight
pie chart
outcome
form
mean
10. In a statistical display - each data value should be represented by the same amount of area
spread
area principle
principles of experimental design
outliers
11. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
outcome
population
frequency table
model
12. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
matching
case
skewed
re-express data
13. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
outcome
timeplot
standardized value
boxplot
14. A list of individuals from whom the sample is drawn
standardized value
data
model
sampling frame
15. Places in order the effects that many re-expressions have on the data
variance
marginal distribution
simulation
ladder of powers
16. When either those who could influence or evaluate the results is blinded
correlation
single-blind
uniform
regression line
17. A variable that names categories (whether with words or numerals)
categorical variable
factor
residuals
re-express data
18. Value calculated from data to summarize aspects of the data
census
factor
statistic
outlier
19. Value found by subtracting the mean and dividing by the standard deviation
observational study
response variable
standardized value
randomized block
20. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
bias
voluntary response bias
systematic sample
21. The most basic situation in a simulation in which something happens at random
simulation component
standard normal model
slope
changing center and spread
22. Doing this is equivalent to changing its units
outliers
re-express data
r2
changing center and spread
23. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
factor
tails
regression to the mean
strength
24. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
center
response
scatterplots
random numbers
25. Found by substituting the x-value in the regression equation; they're the values on the fitted line
simple random sample
context
predicted value
placebo effect
26. Holds information about the same characteristic for many cases
single-blind
variable
outcome
sample survey
27. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
observational study
lurking variable
dotplot
shape
28. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
random
intercept
independence
sample
29. Consists of the individuals who are conveniently available
convenience sample
contingency table
control group
quantitative variable
30. The best defense against bias - in which each individual is given a fair - random chance of selection
blinding
mode
randomization
frequency table
31. Gives the possible values of the variable and the relative frequency of each value
standardized value
distribution
lurking variable
ladder of powers
32. Distributions with more than two modes
observational study
re-express data
correlation
multimodal
33. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
census
shifting
control group
retrospective study
34. An event is this if we know what outcomes could happen - but not which particular values will happen
treatment
least squares
random
extrapolation
35. The natural tendency of randomly drawn samples to differ
experimental units
factor
comparing distributions
sampling variability
36. In a normal model - about 68% of values fall within 1 standard deviation of the mean - about 95% fall within 2 standard deviations of the mean - and about 99.7% fall within 3 standard deviations of the mean
68-95-99.7 rule
contingency table
case
residuals
37. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
intercept
normal percentile
principles of experimental design
regression to the mean
38. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
correlation
representative
ladder of powers
shape
39. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
intercept
bias
randomized block
40. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
confounded
mean
predicted value
units
41. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
range
sample survey
control group
intercept
42. 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
mode
random assignment
spread
simulation component
43. Anything in a survey design that influences response
outcome
response bias
mean
retrospective study
44. The specific values that the experimenter chooses for a factor
level
normal probability plot
multimodal
sample size
45. Summarized with the mean or the median
extrapolation
regression line
center
population
46. The square root of the variance
matched
treatment
standard deviation
percentile
47. An individual result of a component of a simulation
symmetric
outcome
5-number summary
area principle
48. 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
matched
block
scatterplots
interquartile range
49. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
bias
multimodal
units
single-blind
50. A numerical summary of how tightly the values are clustered around the 'center'
unimodal
slope
tails
spread