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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. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
contingency table
outliers
units
simulation
2. Values of this record the results of each trial with respect to what we were interested in
double-blind
retrospective study
factor
response variable
3. Numerically valued attribute of a model
parameter
scatterplots
simple random sample
extrapolation
4. 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
population parameter
matched
leverage
undercoverage
5. 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
simpson's paradox
conditional distribution
double-blind
contingency table
6. 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
categorical variable
variance
regression line
quartile
7. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
spread
area principle
leverage
8. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
symmetric
histogram
factor
sampling frame
9. The ____ we care about most is straight
form
single-blind
random numbers
sample size
10. To be valid - an experiment must assign experimental units to treatment groups at random
undercoverage
outlier
random assignment
sample size
11. Anything in a survey design that influences response
response bias
regression line
frequency table
randomization
12. 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
random
normal probability plot
level
area principle
13. A treatment known to have no effect - administered so that all groups experience the same conditions
placebo
response bias
regression to the mean
stem-and-leaf display
14. The ith ___ is the number that falls above i% of the data
percentile
strength
re-express data
convenience sample
15. The best defense against bias - in which each individual is given a fair - random chance of selection
conditional distribution
simulation
sample size
randomization
16. Value found by subtracting the mean and dividing by the standard deviation
sampling variability
response
tails
standardized value
17. A numerically valued attribute of a model for a population
population parameter
standardized value
outlier
correlation
18. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
sampling variability
re-express data
observational study
center
19. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
intercept
center
simple random sample
normal probability plot
20. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shifting
shape
comparing distributions
principles of experimental design
21. The entire group of individuals or instances about whom we hope to learn
population
percentile
least squares
data table
22. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
center
tails
single-blind
23. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
contingency table
stratified random sample
trial
control group
24. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
center
lurking variable
double-blind
spread
25. Graphs a dot for each case against a single axis
simulation component
undercoverage
case
dotplot
26. An individual result of a component of a simulation
percentile
outcome
statistically significant
conditional distribution
27. Gives the possible values of the variable and the relative frequency of each value
nonresponse bias
distribution
median
histogram
28. Summarized with the mean or the median
independence
simpson's paradox
tails
center
29. A list of individuals from whom the sample is drawn
variable
normal percentile
sampling frame
confounded
30. The most basic situation in a simulation in which something happens at random
variance
simulation component
units
conditional distribution
31. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
simpson's paradox
block
timeplot
32. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
residuals
quartile
outcome
distribution
33. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
stratified random sample
simple random sample
dotplot
randomization
34. The difference between the first and third quartiles
correlation
interquartile range
block
subset
35. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
median
pie chart
stem-and-leaf display
sample
36. A numerical measure of the direction and strength of a linear association
block
correlation
lurking variable
data
37. When averages are taken across different groups - they can appear to contradict the overall averages
38. An equation or formula that simplifies and represents reality
changing center and spread
statistically significant
shifting
model
39. Bias introduced to a sample when a large fraction of those sampled fails to respond
nonresponse bias
boxplot
bias
variance
40. 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
categorical variable
random
matched
68-95-99.7 rule
41. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
voluntary response bias
standardizing
statistically significant
principles of experimental design
42. Distributions with more than two modes
residuals
multimodal
randomization
rescaling
43. The sequence of several components representing events that we are pretending will take place
shape
conditional distribution
trial
simulation
44. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
quantitative variable
lurking variable
trial
placebo effect
45. A sample that consists of the entire population
census
block
random assignment
units
46. When both those who could influence and evaluate the results are blinded
form
double-blind
symmetric
blinding
47. Doing this is equivalent to changing its units
changing center and spread
stem-and-leaf display
control group
experiment
48. A point that does not fit the overall pattern seen in the scatterplot
distribution
randomized block
strength
outlier
49. The square root of the variance
subset
standard deviation
experimental units
contingency table
50. 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
simulation
marginal distribution
matching
model