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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. The ____ we care about most is straight
bias
r2
intercept
form
2. Gives the possible values of the variable and the relative frequency of each value
sample size
distribution
re-express data
census
3. An observational study in which subjects are followed to observe future outcomes
model
level
prospective study
normal percentile
4. Summarized with the standard deviation - interquartile range - and range
prospective study
treatment
spread
independence
5. A sample drawn by selecting individuals systematically from a sampling frame
r2
re-express data
blinding
systematic sample
6. The difference between the lowest and highest values in a data set
multimodal
symmetric
independence
range
7. Useful family of models for unimodal - symmetric distributions
predicted value
population parameter
r2
normal model
8. Numerically valued attribute of a model
correlation
spread
parameter
unimodal
9. The sum of squared deviations from the mean - divided by the count minus one
variance
median
skewed
random numbers
10. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
frequency table
independence
uniform
randomization
11. Individuals on whom an experiment is performed
experimental units
simulation
random assignment
conditional distribution
12. An individual about whom or which we have data
outliers
placebo effect
case
timeplot
13. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
case
prospective study
multimodal
14. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
outlier
symmetric
placebo effect
center
15. Holds information about the same characteristic for many cases
variable
center
case
scatterplots
16. 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
z-score
matched
simulation
context
17. 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
quartile
blinding
categorical variable
rescaling
18. Value calculated from data to summarize aspects of the data
random
case
boxplot
statistic
19. Anything in a survey design that influences response
response bias
mean
principles of experimental design
z-score
20. When averages are taken across different groups - they can appear to contradict the overall averages
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21. An equation of the form y-hat = b0 + b1x
standard deviation
control group
linear model
conditional distribution
22. When both those who could influence and evaluate the results are blinded
double-blind
placebo
dotplot
r2
23. Places in order the effects that many re-expressions have on the data
least squares
subset
ladder of powers
correlation
24. The distribution of either variable alone in a contingency table; the counts or percentages are the totals found in the margins (last row or column) of the table
nonresponse bias
bias
marginal distribution
unimodal
25. A sampling design in which entire groups are chosen at random
cluster sample
normal model
uniform
timeplot
26. 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
control group
median
rescaling
27. An event is this if we know what outcomes could happen - but not which particular values will happen
random
ladder of powers
experimental units
sample survey
28. 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
model
sampling variability
contingency table
census
29. Control - randomize - replicate - block
factor
population parameter
skewed
principles of experimental design
30. A sample that consists of the entire population
sample survey
census
confounded
random assignment
31. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
form
representative
linear model
stem-and-leaf display
32. The distribution of a variable restricting the who to consider only a smaller group of individuals
standard deviation
population
conditional distribution
spread
33. When groups of experimental units are similar - it is a good idea to gather them together into these
block
retrospective study
center
least squares
34. Systematically recorded information - whether numbers or labels - together with its context
5-number summary
data
context
cluster sample
35. 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
shifting
symmetric
normal probability plot
range
36. Consists of the individuals who are conveniently available
sample size
intercept
convenience sample
experimental units
37. A variable that names categories (whether with words or numerals)
variable
categorical variable
response bias
data table
38. Shows the relationship between two quantitative variables measured on the same cases
scatterplots
blinding
bimodal
slope
39. Summarized with the mean or the median
marginal distribution
response variable
placebo
center
40. The most basic situation in a simulation in which something happens at random
simulation component
linear model
distribution
pie chart
41. 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
trial
distribution
slope
experimental units
42. The ith ___ is the number that falls above i% of the data
regression to the mean
variance
blinding
percentile
43. A numerical summary of how tightly the values are clustered around the 'center'
statistically significant
placebo
multistage sample
spread
44. 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
range
tails
subset
center
45. The difference between the first and third quartiles
pie chart
bias
interquartile range
outlier
46. Displays data that change over time
area principle
timeplot
sample size
undercoverage
47. A point that does not fit the overall pattern seen in the scatterplot
histogram
standardizing
outlier
parameter
48. 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
lurking variable
simulation
68-95-99.7 rule
experiment
49. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
standard normal model
range
regression line
center
50. A numerically valued attribute of a model for a population
symmetric
factor
population parameter
normal model