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Test your basic knowledge |
AP Statistics Vocab
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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 distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
undercoverage
r2
bar chart
2. Shows the relationship between two quantitative variables measured on the same cases
sample survey
prospective study
scatterplots
factor
3. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
percentile
systematic sample
outlier
4. Anything in a survey design that influences response
blinding
response bias
factor
sampling variability
5. The most basic situation in a simulation in which something happens at random
sampling variability
trial
bimodal
simulation component
6. A distribution is this if it's not symmetric and one tail stretches out farther than the other
marginal distribution
sample
skewed
68-95-99.7 rule
7. A numerical measure of the direction and strength of a linear association
response variable
shape
correlation
standard deviation
8. A sample that consists of the entire population
range
census
retrospective study
observational study
9. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
placebo effect
standardizing
independence
subset
10. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
mode
shifting
regression line
treatment
11. 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
sample
intercept
least squares
shifting
12. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
re-express data
comparing distributions
stem-and-leaf display
simple random sample
13. 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
histogram
trial
skewed
sample survey
14. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
regression line
cluster sample
stratified random sample
standardized value
15. Gives the possible values of the variable and the relative frequency of each value
multistage sample
distribution
center
representative
16. To be valid - an experiment must assign experimental units to treatment groups at random
outliers
context
simulation
random assignment
17. Places in order the effects that many re-expressions have on the data
population
completely randomized design
outlier
ladder of powers
18. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
timeplot
bimodal
retrospective study
cluster sample
19. Extreme values that don't appear to belong with the rest of the data
subset
shifting
outliers
area principle
20. Bias introduced to a sample when a large fraction of those sampled fails to respond
nonresponse bias
double-blind
response
form
21. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
randomized block
correlation
standardized value
confounded
22. A positive ____ or association means that - in general - as one variable increases - so does the other; when increases in one variable generally correspond to decreases in the other - the association is negative
uniform
sampling frame
bar chart
direction
23. The difference between the lowest and highest values in a data set
stratified random sample
center
level
range
24. 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
experiment
bimodal
matching
sample survey
25. Sampling schemes that combine several sampling methods
intercept
spread
correlation
multistage sample
26. Individuals on whom an experiment is performed
intercept
experimental units
categorical variable
marginal distribution
27. When either those who could influence or evaluate the results is blinded
simple random sample
standardized value
single-blind
multimodal
28. The entire group of individuals or instances about whom we hope to learn
conditional distribution
simulation component
stem-and-leaf display
population
29. Graphs a dot for each case against a single axis
dotplot
cluster sample
r2
standard deviation
30. When both those who could influence and evaluate the results are blinded
least squares
marginal distribution
scatterplots
double-blind
31. A point that does not fit the overall pattern seen in the scatterplot
outlier
predicted value
spread
shifting
32. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
control group
mean
mode
randomized block
33. An individual result of a component of a simulation
matched
experiment
outcome
population parameter
34. All experimental units have an equal chance of receiving any treatment
standard deviation
strength
standard normal model
completely randomized design
35. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
uniform
strength
shape
regression to the mean
36. A distribution that's roughly flat
random assignment
multistage sample
matching
uniform
37. When averages are taken across different groups - they can appear to contradict the overall averages
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38. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
data
observational study
representative
39. An individual about whom or which we have data
case
leverage
predicted value
comparing distributions
40. A list of individuals from whom the sample is drawn
level
sampling frame
bar chart
re-express data
41. 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
bar chart
context
units
z-score
42. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
shifting
boxplot
z-score
outlier
43. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
standard deviation
voluntary response bias
tails
simple random sample
44. Control - randomize - replicate - block
spread
percentile
normal percentile
principles of experimental design
45. The ith ___ is the number that falls above i% of the data
simulation component
statistically significant
matching
percentile
46. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted
boxplot
variable
unimodal
extrapolation
47. Design Randomization occurring within blocks
sample size
multimodal
r2
randomized block
48. The sum of squared deviations from the mean - divided by the count minus one
systematic sample
scatterplots
lurking variable
variance
49. 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
marginal distribution
ladder of powers
stem-and-leaf display
control group
50. Displays data that change over time
normal model
timeplot
spread
retrospective study
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