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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.
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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 sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
outlier
stratified random sample
scatterplots
area principle
2. An observational study in which subjects are followed to observe future outcomes
sample
placebo
prospective study
statistic
3. The square root of the variance
single-blind
range
normal probability plot
standard deviation
4. 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
simulation
census
influential point
undercoverage
5. 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
statistically significant
extrapolation
scatterplots
population parameter
6. Found by substituting the x-value in the regression equation; they're the values on the fitted line
random
center
predicted value
marginal distribution
7. A numerical measure of the direction and strength of a linear association
response bias
leverage
data table
correlation
8. 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
leverage
percentile
skewed
matched
9. Consists of the individuals who are conveniently available
convenience sample
outlier
spread
simulation component
10. The sum of squared deviations from the mean - divided by the count minus one
simpson's paradox
variance
standard deviation
boxplot
11. Individuals on whom an experiment is performed
r2
completely randomized design
experimental units
data
12. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
observational study
intercept
prospective study
sampling variability
13. 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
comparing distributions
variable
distribution
slope
14. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
sample size
least squares
bias
rescaling
15. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
area principle
marginal distribution
undercoverage
treatment
16. A distribution that's roughly flat
systematic sample
marginal distribution
uniform
extrapolation
17. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
boxplot
retrospective study
outliers
spread
18. A sampling design in which entire groups are chosen at random
random assignment
sample size
contingency table
cluster sample
19. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
multimodal
confounded
representative
outcome
20. A variable that names categories (whether with words or numerals)
population parameter
distribution
categorical variable
undercoverage
21. Gives the possible values of the variable and the relative frequency of each value
census
distribution
normal percentile
statistic
22. 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
subset
stratified random sample
experimental units
direction
23. A display to help assess whether a distribution of data is approximately normal; if it is nearly straight - the data satisfy the nearly normal condition
data table
trial
normal probability plot
matching
24. When omitting a point from the data results in a very different regression model - the point is an ____
representative
extrapolation
slope
influential point
25. A variable whose values are compared across different treatments
standard normal model
correlation
response
standard deviation
26. When both those who could influence and evaluate the results are blinded
shape
tails
experiment
double-blind
27. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
control group
regression line
r2
quantitative variable
28. A sample that consists of the entire population
census
lurking variable
representative
voluntary response bias
29. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
percentile
sample survey
outcome
30. Summarized with the mean or the median
sampling frame
double-blind
quantitative variable
center
31. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
lurking variable
changing center and spread
distribution
population parameter
32. An individual result of a component of a simulation
outcome
uniform
sampling variability
variance
33. Places in order the effects that many re-expressions have on the data
confounded
ladder of powers
random
units
34. A treatment known to have no effect - administered so that all groups experience the same conditions
placebo
census
response
population
35. A variable whose levels are controlled by the experimenter
factor
rescaling
form
census
36. An event is this if we know what outcomes could happen - but not which particular values will happen
data
rescaling
completely randomized design
random
37. Values of this record the results of each trial with respect to what we were interested in
distribution
ladder of powers
unimodal
response variable
38. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
frequency table
correlation
quantitative variable
boxplot
39. In a statistical display - each data value should be represented by the same amount of area
area principle
standard normal model
standard deviation
z-score
40. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
undercoverage
regression to the mean
stratified random sample
median
41. The natural tendency of randomly drawn samples to differ
tails
context
symmetric
sampling variability
42. A distribution is this if it's not symmetric and one tail stretches out farther than the other
data
skewed
voluntary response bias
lurking variable
43. All experimental units have an equal chance of receiving any treatment
factor
5-number summary
regression line
completely randomized design
44. 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
lurking variable
quantitative variable
random numbers
68-95-99.7 rule
45. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
outlier
direction
standard normal model
bar chart
46. 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
boxplot
block
shifting
random assignment
47. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
outlier
representative
population
simpson's paradox
48. When an observed difference is too large for us to believe that is is likely to have occurred naturally
statistically significant
boxplot
median
response
49. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
sampling frame
dotplot
random
50. Any attempt to force a sample to resemble specified attributes of the population
block
systematic sample
rescaling
matching
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