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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. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
sampling variability
pie chart
blinding
confounded
2. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it
scatterplots
quartile
mode
standardized value
3. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
matching
marginal distribution
representative
4. In a statistical display - each data value should be represented by the same amount of area
multistage sample
dotplot
area principle
linear model
5. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
scatterplots
frequency table
simpson's paradox
outliers
6. A numerical summary of how tightly the values are clustered around the 'center'
spread
leverage
confounded
response variable
7. Control - randomize - replicate - block
representative
sample size
principles of experimental design
center
8. A distribution is this if it's not symmetric and one tail stretches out farther than the other
control group
skewed
systematic sample
uniform
9. Systematically recorded information - whether numbers or labels - together with its context
data
outliers
data table
timeplot
10. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed
context
influential point
systematic sample
extrapolation
11. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
form
regression line
response variable
comparing distributions
12. To be valid - an experiment must assign experimental units to treatment groups at random
strength
single-blind
boxplot
random assignment
13. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
outlier
principles of experimental design
treatment
dotplot
14. The distribution of a variable restricting the who to consider only a smaller group of individuals
completely randomized design
conditional distribution
double-blind
re-express data
15. A variable whose levels are controlled by the experimenter
factor
comparing distributions
randomized block
percentile
16. An arrangement of data in which each row represents a case and each column represents a variable
blinding
marginal distribution
outlier
data table
17. A representative subset of a population - examined in hope of learning about the population
convenience sample
sample
pie chart
5-number summary
18. The ____ we care about most is straight
census
bias
form
distribution
19. The natural tendency of randomly drawn samples to differ
categorical variable
sampling frame
sampling variability
predicted value
20. Distributions with more than two modes
multimodal
experiment
representative
model
21. 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
boxplot
completely randomized design
representative
22. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
sampling frame
population parameter
standard deviation
standardizing
23. Summarized with the mean or the median
data
sample size
conditional distribution
center
24. 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
census
factor
slope
marginal distribution
25. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
placebo
multistage sample
rescaling
blinding
26. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
blinding
re-express data
bimodal
27. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bar chart
unimodal
rescaling
bias
28. 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
standardizing
marginal distribution
timeplot
r2
29. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
ladder of powers
nonresponse bias
changing center and spread
lurking variable
30. A numerical measure of the direction and strength of a linear association
response
correlation
prospective study
convenience sample
31. The difference between the lowest and highest values in a data set
parameter
boxplot
range
representative
32. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
unimodal
boxplot
matching
33. When omitting a point from the data results in a very different regression model - the point is an ____
single-blind
re-express data
influential point
completely randomized design
34. A variable whose values are compared across different treatments
units
control group
response
model
35. Gives the possible values of the variable and the frequency or relative frequency of each value
random assignment
distribution
sampling variability
median
36. Consists of the individuals who are conveniently available
spread
ladder of powers
simulation
convenience sample
37. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
confounded
systematic sample
normal percentile
bar chart
38. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
randomized block
outlier
standardizing
symmetric
39. 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
prospective study
range
observational study
matched
40. An observational study in which subjects are followed to observe future outcomes
factor
contingency table
context
prospective study
41. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
bar chart
scatterplots
rescaling
comparing distributions
42. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
range
response
dotplot
intercept
43. An individual about whom or which we have data
median
matched
changing center and spread
case
44. A variable that names categories (whether with words or numerals)
normal percentile
model
randomized block
categorical variable
45. Found by summing all the data values and dividing by the count
cluster sample
ladder of powers
mean
uniform
46. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
regression to the mean
parameter
outlier
random numbers
47. 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
observational study
matching
randomized block
48. A variable in which the numbers act as numerical values; always has units
blinding
principles of experimental design
data
quantitative variable
49. A numerically valued attribute of a model for a population
population parameter
scatterplots
categorical variable
changing center and spread
50. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
sample survey
factor
standardizing
median