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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. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
normal percentile
form
voluntary response bias
population
2. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
context
matched
changing center and spread
re-express data
3. Shows a bar representing the count of each category in a categorical variable
units
bar chart
r2
quartile
4. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
standardizing
normal probability plot
data table
unimodal
5. When omitting a point from the data results in a very different regression model - the point is an ____
frequency table
units
influential point
distribution
6. When either those who could influence or evaluate the results is blinded
lurking variable
single-blind
categorical variable
outlier
7. Shows the relationship between two quantitative variables measured on the same cases
percentile
scatterplots
outliers
symmetric
8. When groups of experimental units are similar - it is a good idea to gather them together into these
center
block
parameter
confounded
9. 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
voluntary response bias
pie chart
histogram
treatment
10. A variable that names categories (whether with words or numerals)
subset
z-score
categorical variable
simulation component
11. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
direction
quartile
standardizing
12. A sampling design in which entire groups are chosen at random
quartile
rescaling
z-score
cluster sample
13. Displays data that change over time
timeplot
correlation
confounded
median
14. When both those who could influence and evaluate the results are blinded
representative
stratified random sample
double-blind
undercoverage
15. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
variable
bias
correlation
treatment
16. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
categorical variable
retrospective study
random assignment
shape
17. A variable in which the numbers act as numerical values; always has units
simple random sample
quantitative variable
influential point
predicted value
18. Manipulates factor levels to create treatments - randomly assigns subjects to these treatment levels - and then compares the responses of the subject groups across treatment levels
area principle
multistage sample
residuals
experiment
19. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
area principle
uniform
contingency table
20. Consists of the individuals who are conveniently available
regression line
principles of experimental design
parameter
convenience sample
21. The specific values that the experimenter chooses for a factor
contingency table
statistic
double-blind
level
22. A numerically valued attribute of a model for a population
control group
center
population parameter
data
23. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
voluntary response bias
response bias
standardizing
slope
24. Places in order the effects that many re-expressions have on the data
retrospective study
population parameter
ladder of powers
uniform
25. The middle value with half of the data above and half below it
lurking variable
median
influential point
random assignment
26. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
bimodal
placebo effect
case
27. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
stratified random sample
lurking variable
random numbers
frequency table
28. Bias introduced to a sample when a large fraction of those sampled fails to respond
outlier
level
nonresponse bias
standard deviation
29. Sampling schemes that combine several sampling methods
mean
distribution
data
multistage sample
30. A treatment known to have no effect - administered so that all groups experience the same conditions
conditional distribution
placebo
tails
standard deviation
31. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
random numbers
confounded
statistic
distribution
32. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
confounded
cluster sample
range
representative
33. Value found by subtracting the mean and dividing by the standard deviation
categorical variable
trial
census
standardized value
34. Anything in a survey design that influences response
randomization
percentile
response bias
standard normal model
35. A list of individuals from whom the sample is drawn
simulation component
sampling frame
predicted value
subset
36. A sample that consists of the entire population
census
residuals
interquartile range
independence
37. 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
center
68-95-99.7 rule
convenience sample
outcome
38. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
random numbers
range
center
prospective study
39. Graphs a dot for each case against a single axis
nonresponse bias
dotplot
distribution
correlation
40. A variable whose values are compared across different treatments
linear model
block
outliers
response
41. A numerical summary of how tightly the values are clustered around the 'center'
spread
placebo effect
direction
boxplot
42. An equation of the form y-hat = b0 + b1x
linear model
outcome
variance
leverage
43. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
randomization
observational study
tails
statistic
44. Numerically valued attribute of a model
voluntary response bias
extrapolation
standard deviation
parameter
45. 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
mean
marginal distribution
correlation
r2
46. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
scatterplots
center
least squares
68-95-99.7 rule
47. 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
direction
spread
intercept
sampling frame
48. A distribution is this if it's not symmetric and one tail stretches out farther than the other
simple random sample
pie chart
center
skewed
49. The number of individuals in a sample
retrospective study
median
systematic sample
sample size
50. A variable whose levels are controlled by the experimenter
outlier
factor
randomized block
shape