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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
uniform
simulation component
marginal distribution
conditional distribution
2. Systematically recorded information - whether numbers or labels - together with its context
data
representative
sample survey
census
3. Sampling schemes that combine several sampling methods
multistage sample
multimodal
conditional distribution
outliers
4. When groups of experimental units are similar - it is a good idea to gather them together into these
block
histogram
standard deviation
shape
5. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
center
statistically significant
tails
matching
6. The number of individuals in a sample
random
predicted value
undercoverage
sample size
7. A sample that consists of the entire population
shifting
cluster sample
census
pie chart
8. 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
normal probability plot
outlier
simulation
representative
9. Any attempt to force a sample to resemble specified attributes of the population
predicted value
matching
subset
case
10. Useful family of models for unimodal - symmetric distributions
matching
factor
normal model
median
11. An event is this if we know what outcomes could happen - but not which particular values will happen
level
random
intercept
units
12. The sum of squared deviations from the mean - divided by the count minus one
retrospective study
variance
single-blind
least squares
13. Distributions with two modes
bimodal
sampling frame
distribution
simulation
14. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
voluntary response bias
center
single-blind
rescaling
15. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
single-blind
retrospective study
factor
spread
16. A numerically valued attribute of a model for a population
regression to the mean
principles of experimental design
bar chart
population parameter
17. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
sampling frame
sample survey
strength
systematic sample
18. In a normal model - about 68% of values fall within 1 standard deviation of the mean - about 95% fall within 2 standard deviations of the mean - and about 99.7% fall within 3 standard deviations of the mean
strength
multistage sample
68-95-99.7 rule
median
19. 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
trial
parameter
extrapolation
randomized block
20. An individual about whom or which we have data
simulation component
form
standardized value
case
21. Found by summing all the data values and dividing by the count
unimodal
voluntary response bias
intercept
mean
22. 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
5-number summary
slope
influential point
simpson's paradox
23. Graphs a dot for each case against a single axis
normal percentile
dotplot
interquartile range
stratified random sample
24. Found by substituting the x-value in the regression equation; they're the values on the fitted line
re-express data
predicted value
block
leverage
25. The ____ we care about most is straight
form
ladder of powers
range
nonresponse bias
26. The middle value with half of the data above and half below it
blinding
principles of experimental design
median
shape
27. Doing this is equivalent to changing its units
changing center and spread
ladder of powers
statistic
marginal distribution
28. Shows quantitative data values in a way that sketches the distribution of the data
distribution
stem-and-leaf display
normal percentile
center
29. When an observed difference is too large for us to believe that is is likely to have occurred naturally
bar chart
data
random numbers
statistically significant
30. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
shifting
parameter
bias
outliers
31. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
cluster sample
placebo effect
pie chart
blinding
32. Holds information about the same characteristic for many cases
ladder of powers
variable
stratified random sample
subset
33. Value found by subtracting the mean and dividing by the standard deviation
ladder of powers
statistically significant
standardized value
census
34. Consists of the individuals who are conveniently available
variable
convenience sample
standard normal model
ladder of powers
35. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
randomized block
prospective study
boxplot
area principle
36. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
scatterplots
shape
influential point
random numbers
37. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
single-blind
lurking variable
experimental units
treatment
38. 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
contingency table
center
least squares
sample survey
39. When doing this - consider their shape - center - and spread
retrospective study
comparing distributions
area principle
confounded
40. The ith ___ is the number that falls above i% of the data
leverage
68-95-99.7 rule
data
percentile
41. A study based on data in which no manipulation of factors has been employed
voluntary response bias
observational study
single-blind
outliers
42. Bias introduced to a sample when a large fraction of those sampled fails to respond
nonresponse bias
range
data
correlation
43. 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
single-blind
boxplot
histogram
regression to the mean
44. An equation or formula that simplifies and represents reality
conditional distribution
single-blind
factor
model
45. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
regression to the mean
data table
uniform
cluster sample
46. Shows a bar representing the count of each category in a categorical variable
scatterplots
sample size
subset
bar chart
47. A distribution that's roughly flat
normal percentile
sample size
uniform
range
48. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
principles of experimental design
simple random sample
variance
randomized block
49. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
parameter
experimental units
multistage sample
50. An individual result of a component of a simulation
spread
outcome
matched
center
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