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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. Doing this is equivalent to changing its units
unimodal
changing center and spread
timeplot
sample size
2. All experimental units have an equal chance of receiving any treatment
random numbers
completely randomized design
data table
intercept
3. A sampling design in which entire groups are chosen at random
interquartile range
strength
lurking variable
cluster sample
4. Graphs a dot for each case against a single axis
observational study
level
dotplot
population
5. A study based on data in which no manipulation of factors has been employed
placebo
independence
correlation
observational study
6. Control - randomize - replicate - block
block
outlier
census
principles of experimental design
7. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
population parameter
stratified random sample
timeplot
outliers
8. Found by substituting the x-value in the regression equation; they're the values on the fitted line
population parameter
predicted value
units
standardizing
9. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
confounded
uniform
simple random sample
form
10. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
context
standardizing
residuals
mean
11. The distribution of a variable restricting the who to consider only a smaller group of individuals
variable
conditional distribution
census
sample survey
12. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
range
center
independence
statistic
13. The specific values that the experimenter chooses for a factor
level
matching
stratified random sample
convenience sample
14. When both those who could influence and evaluate the results are blinded
sample size
ladder of powers
r2
double-blind
15. Anything in a survey design that influences response
response bias
randomized block
re-express data
placebo effect
16. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
spread
lurking variable
block
17. A sample that consists of the entire population
random assignment
statistic
frequency table
census
18. A numerically valued attribute of a model for a population
outcome
population parameter
median
response
19. Extreme values that don't appear to belong with the rest of the data
regression line
standardizing
spread
outliers
20. Found by summing all the data values and dividing by the count
principles of experimental design
conditional distribution
re-express data
mean
21. A representative subset of a population - examined in hope of learning about the population
sample
bar chart
data
blinding
22. An arrangement of data in which each row represents a case and each column represents a variable
standardizing
data table
influential point
scatterplots
23. Useful family of models for unimodal - symmetric distributions
histogram
residuals
normal model
variable
24. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
extrapolation
pie chart
multimodal
model
25. 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
observational study
slope
treatment
frequency table
26. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
principles of experimental design
area principle
unimodal
frequency table
27. The number of individuals in a sample
variance
re-express data
sample size
contingency table
28. Gives the possible values of the variable and the relative frequency of each value
distribution
predicted value
form
trial
29. The sum of squared deviations from the mean - divided by the count minus one
linear model
observational study
case
variance
30. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
intercept
systematic sample
tails
skewed
31. A distribution that's roughly flat
population parameter
uniform
conditional distribution
statistically significant
32. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
5-number summary
systematic sample
contingency table
re-express data
33. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
simulation component
lurking variable
interquartile range
sample survey
34. The difference between the first and third quartiles
unimodal
interquartile range
systematic sample
area principle
35. Holds information about the same characteristic for many cases
variable
treatment
response bias
stratified random sample
36. Any attempt to force a sample to resemble specified attributes of the population
re-express data
matching
scatterplots
spread
37. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
context
slope
voluntary response bias
variance
38. 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
retrospective study
outlier
shifting
histogram
39. 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
simpson's paradox
observational study
outliers
mode
40. To be valid - an experiment must assign experimental units to treatment groups at random
normal model
convenience sample
simpson's paradox
random assignment
41. Design Randomization occurring within blocks
mean
distribution
comparing distributions
randomized block
42. Consists of the individuals who are conveniently available
strength
convenience sample
undercoverage
retrospective study
43. A numerical summary of how tightly the values are clustered around the 'center'
level
observational study
spread
stratified random sample
44. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
shape
least squares
data table
sample survey
45. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
simple random sample
statistically significant
variable
categorical variable
46. A distribution is this if it's not symmetric and one tail stretches out farther than the other
independence
systematic sample
skewed
sample
47. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
outcome
mean
random assignment
representative
48. Summarized with the standard deviation - interquartile range - and range
outliers
shape
spread
r2
49. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
center
principles of experimental design
residuals
distribution
50. Individuals on whom an experiment is performed
retrospective study
sample
mean
experimental units