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Test your basic knowledge |
AP Statistics Vocab
Start Test
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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. Holds information about the same characteristic for many cases
variable
retrospective study
timeplot
histogram
2. Anything in a survey design that influences response
multimodal
placebo
response bias
random numbers
3. Displays data that change over time
sample survey
timeplot
control group
multistage sample
4. When groups of experimental units are similar - it is a good idea to gather them together into these
block
leverage
normal probability plot
independence
5. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
normal percentile
strength
scatterplots
center
6. When averages are taken across different groups - they can appear to contradict the overall averages
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7. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
confounded
response bias
representative
bar chart
8. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
random assignment
independence
control group
outcome
9. All experimental units have an equal chance of receiving any treatment
outcome
strength
completely randomized design
representative
10. Gives the possible values of the variable and the frequency or relative frequency of each value
distribution
shifting
voluntary response bias
stem-and-leaf display
11. The distribution of a variable restricting the who to consider only a smaller group of individuals
standard normal model
distribution
spread
conditional distribution
12. When omitting a point from the data results in a very different regression model - the point is an ____
scatterplots
influential point
parameter
intercept
13. A variable whose levels are controlled by the experimenter
factor
prospective study
completely randomized design
mode
14. A sample that consists of the entire population
census
center
treatment
multimodal
15. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
convenience sample
boxplot
independence
parameter
16. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
scatterplots
sampling frame
blinding
standard normal model
17. Distributions with more than two modes
multimodal
variable
normal probability plot
distribution
18. The difference between the lowest and highest values in a data set
response
outlier
range
retrospective study
19. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
z-score
data
statistically significant
retrospective study
20. The best defense against bias - in which each individual is given a fair - random chance of selection
statistic
least squares
stem-and-leaf display
randomization
21. An equation of the form y-hat = b0 + b1x
trial
linear model
data
block
22. The ith ___ is the number that falls above i% of the data
marginal distribution
response variable
dotplot
percentile
23. Systematically recorded information - whether numbers or labels - together with its context
subset
data
skewed
boxplot
24. A distribution that's roughly flat
uniform
level
blinding
random assignment
25. A point that does not fit the overall pattern seen in the scatterplot
distribution
outlier
standard normal model
marginal distribution
26. 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
retrospective study
single-blind
histogram
contingency table
27. An individual result of a component of a simulation
retrospective study
model
nonresponse bias
outcome
28. An equation or formula that simplifies and represents reality
model
stem-and-leaf display
lurking variable
parameter
29. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
matching
comparing distributions
mode
normal percentile
30. Value calculated from data to summarize aspects of the data
shape
statistic
lurking variable
blinding
31. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
influential point
residuals
subset
center
32. A variable whose values are compared across different treatments
linear model
matched
5-number summary
response
33. The square root of the variance
stratified random sample
standard deviation
comparing distributions
simulation
34. 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
ladder of powers
outliers
intercept
35. When doing this - consider their shape - center - and spread
nonresponse bias
least squares
comparing distributions
dotplot
36. 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
slope
area principle
parameter
subset
37. 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
sample survey
contingency table
randomized block
normal model
38. Extreme values that don't appear to belong with the rest of the data
outliers
block
case
uniform
39. Consists of the individuals who are conveniently available
voluntary response bias
spread
convenience sample
r2
40. Summarized with the mean or the median
population parameter
bar chart
retrospective study
center
41. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
distribution
block
z-score
r2
42. 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
parameter
lurking variable
extrapolation
undercoverage
43. The middle value with half of the data above and half below it
median
statistic
multimodal
outliers
44. An event is this if we know what outcomes could happen - but not which particular values will happen
random
range
standardized value
bar chart
45. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
unimodal
residuals
quantitative variable
shape
46. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
spread
units
conditional distribution
correlation
47. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
standardized value
retrospective study
stratified random sample
response variable
48. A sampling design in which entire groups are chosen at random
principles of experimental design
cluster sample
least squares
stem-and-leaf display
49. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
center
completely randomized design
statistically significant
voluntary response bias
50. When either those who could influence or evaluate the results is blinded
strength
leverage
single-blind
simulation component
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