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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. Holds information about the same characteristic for many cases
variable
pie chart
voluntary response bias
quantitative variable
2. 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
scatterplots
undercoverage
randomization
placebo effect
3. Numerically valued attribute of a model
variance
parameter
stem-and-leaf display
single-blind
4. 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
variance
scatterplots
center
5. The middle value with half of the data above and half below it
median
single-blind
matched
stratified random sample
6. A variable that names categories (whether with words or numerals)
bias
categorical variable
simulation
undercoverage
7. Shows quantitative data values in a way that sketches the distribution of the data
data table
stem-and-leaf display
random numbers
center
8. A study based on data in which no manipulation of factors has been employed
leverage
independence
simpson's paradox
observational study
9. The square root of the variance
marginal distribution
completely randomized design
variable
standard deviation
10. A distribution is this if it's not symmetric and one tail stretches out farther than the other
data table
factor
multimodal
skewed
11. The sum of squared deviations from the mean - divided by the count minus one
center
matched
experimental units
variance
12. Extreme values that don't appear to belong with the rest of the data
outliers
correlation
simple random sample
standardized value
13. When doing this - consider their shape - center - and spread
regression to the mean
median
comparing distributions
experimental units
14. Places in order the effects that many re-expressions have on the data
response bias
simulation component
outcome
ladder of powers
15. In a statistical display - each data value should be represented by the same amount of area
area principle
marginal distribution
placebo effect
double-blind
16. A distribution that's roughly flat
rescaling
simulation component
mean
uniform
17. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
linear model
shape
residuals
cluster sample
18. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
context
median
outlier
19. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest
voluntary response bias
random numbers
linear model
matched
20. A variable in which the numbers act as numerical values; always has units
randomized block
comparing distributions
quantitative variable
standardizing
21. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
least squares
outlier
standardizing
cluster sample
22. An individual result of a component of a simulation
bias
principles of experimental design
outcome
systematic sample
23. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
voluntary response bias
retrospective study
lurking variable
context
24. Doing this is equivalent to changing its units
symmetric
simple random sample
response variable
changing center and spread
25. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
observational study
standardizing
placebo effect
block
26. Distributions with two modes
response
nonresponse bias
outliers
bimodal
27. Consists of the individuals who are conveniently available
convenience sample
histogram
outliers
regression to the mean
28. Useful family of models for unimodal - symmetric distributions
normal model
census
placebo effect
rescaling
29. Displays data that change over time
timeplot
quartile
subset
principles of experimental design
30. Gives the possible values of the variable and the relative frequency of each value
completely randomized design
spread
unimodal
distribution
31. 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
frequency table
control group
factor
32. 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
cluster sample
shifting
observational study
systematic sample
33. 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
multimodal
bias
marginal distribution
simple random sample
34. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
lurking variable
outlier
treatment
direction
35. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
mean
uniform
boxplot
convenience sample
36. Summarized with the standard deviation - interquartile range - and range
standardizing
matching
outlier
spread
37. Anything in a survey design that influences response
response bias
marginal distribution
parameter
changing center and spread
38. The distribution of a variable restricting the who to consider only a smaller group of individuals
population
conditional distribution
mean
data
39. A sample that consists of the entire population
completely randomized design
symmetric
census
dotplot
40. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
bimodal
center
statistically significant
intercept
41. The number of individuals in a sample
factor
outcome
sample size
center
42. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
random numbers
5-number summary
lurking variable
43. 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
boxplot
influential point
random
direction
44. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
random assignment
symmetric
unimodal
multimodal
45. Value calculated from data to summarize aspects of the data
subset
quantitative variable
statistic
bias
46. The difference between the lowest and highest values in a data set
linear model
symmetric
sampling variability
range
47. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
sampling variability
pie chart
regression line
48. A sample drawn by selecting individuals systematically from a sampling frame
bimodal
bar chart
systematic sample
completely randomized design
49. 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
confounded
uniform
area principle
50. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
frequency table
form
bar chart
median