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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. A point that does not fit the overall pattern seen in the scatterplot
outlier
interquartile range
double-blind
response variable
2. A numerically valued attribute of a model for a population
case
population parameter
scatterplots
linear model
3. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
center
spread
confounded
influential point
4. 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
normal model
boxplot
response
undercoverage
5. A representative subset of a population - examined in hope of learning about the population
data
voluntary response bias
interquartile range
sample
6. When omitting a point from the data results in a very different regression model - the point is an ____
simulation component
outcome
influential point
outlier
7. Sampling schemes that combine several sampling methods
multistage sample
factor
random assignment
normal percentile
8. When both those who could influence and evaluate the results are blinded
principles of experimental design
systematic sample
double-blind
center
9. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
predicted value
rescaling
scatterplots
treatment
10. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
trial
influential point
sample
symmetric
11. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
frequency table
normal percentile
outlier
single-blind
12. Anything in a survey design that influences response
regression to the mean
outliers
shape
response bias
13. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
pie chart
interquartile range
normal probability plot
ladder of powers
14. A variable that names categories (whether with words or numerals)
shape
categorical variable
direction
intercept
15. A sample drawn by selecting individuals systematically from a sampling frame
quartile
dotplot
systematic sample
undercoverage
16. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
cluster sample
mode
shape
r2
17. Gives the possible values of the variable and the frequency or relative frequency of each value
distribution
outlier
timeplot
bimodal
18. Individuals on whom an experiment is performed
random assignment
correlation
completely randomized design
experimental units
19. Any attempt to force a sample to resemble specified attributes of the population
correlation
area principle
matching
random assignment
20. A variable whose levels are controlled by the experimenter
factor
shape
bar chart
double-blind
21. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
scatterplots
distribution
response
re-express data
22. 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
timeplot
completely randomized design
blinding
23. The ith ___ is the number that falls above i% of the data
leverage
percentile
randomized block
sample survey
24. All experimental units have an equal chance of receiving any treatment
completely randomized design
population
re-express data
correlation
25. The distribution of a variable restricting the who to consider only a smaller group of individuals
leverage
intercept
experiment
conditional distribution
26. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
sample size
normal model
least squares
interquartile range
27. The difference between the lowest and highest values in a data set
68-95-99.7 rule
single-blind
strength
range
28. Distributions with two modes
multimodal
bimodal
representative
multistage sample
29. The entire group of individuals or instances about whom we hope to learn
uniform
dotplot
population
units
30. 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
timeplot
least squares
shifting
data table
31. Bias introduced to a sample when a large fraction of those sampled fails to respond
random
conditional distribution
nonresponse bias
unimodal
32. When doing this - consider their shape - center - and spread
census
comparing distributions
5-number summary
matched
33. The most basic situation in a simulation in which something happens at random
percentile
control group
symmetric
simulation component
34. The natural tendency of randomly drawn samples to differ
sampling variability
statistic
area principle
undercoverage
35. An event is this if we know what outcomes could happen - but not which particular values will happen
leverage
statistic
simpson's paradox
random
36. Systematically recorded information - whether numbers or labels - together with its context
unimodal
data
distribution
shifting
37. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
spread
single-blind
form
38. Models random events by using random numbers to specify event outcomes with relative frequencies that correspond to the true real-world relative frequencies we are trying to model
strength
parameter
sampling variability
simulation
39. To be valid - an experiment must assign experimental units to treatment groups at random
z-score
experimental units
random assignment
level
40. When an observed difference is too large for us to believe that is is likely to have occurred naturally
statistically significant
principles of experimental design
scatterplots
completely randomized design
41. 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
shifting
changing center and spread
subset
undercoverage
42. An individual result of a component of a simulation
outcome
simple random sample
range
randomized block
43. Places in order the effects that many re-expressions have on the data
systematic sample
influential point
ladder of powers
voluntary response bias
44. 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
center
completely randomized design
residuals
45. An equation or formula that simplifies and represents reality
tails
population parameter
model
interquartile range
46. The sum of squared deviations from the mean - divided by the count minus one
variance
r2
timeplot
treatment
47. A variable in which the numbers act as numerical values; always has units
convenience sample
quantitative variable
sample survey
variance
48. Values of this record the results of each trial with respect to what we were interested in
cluster sample
prospective study
center
response variable
49. The square of the correlation between y and x; gives the fraction of the variability of y accounted for by the least squares linear regression on x; an overall measure of how successful the regression is in linearly relating y to x
random assignment
r2
response variable
normal probability plot
50. Shows quantitative data values in a way that sketches the distribution of the data
histogram
sample survey
frequency table
stem-and-leaf display
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