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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. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
shape
quantitative variable
normal percentile
multistage sample
2. When omitting a point from the data results in a very different regression model - the point is an ____
lurking variable
blinding
influential point
treatment
3. The most basic situation in a simulation in which something happens at random
simulation component
response
placebo
intercept
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
quartile
spread
simulation
stratified random sample
5. An individual result of a component of a simulation
standard deviation
outcome
randomization
prospective study
6. An observational study in which subjects are followed to observe future outcomes
prospective study
independence
sample survey
median
7. Found by substituting the x-value in the regression equation; they're the values on the fitted line
multimodal
predicted value
representative
randomized block
8. Summarized with the mean or the median
area principle
timeplot
marginal distribution
center
9. Distributions with two modes
principles of experimental design
standardizing
bimodal
extrapolation
10. Shows quantitative data values in a way that sketches the distribution of the data
comparing distributions
extrapolation
simple random sample
stem-and-leaf display
11. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
simulation component
residuals
correlation
nonresponse bias
12. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
stratified random sample
random assignment
matching
5-number summary
13. 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
systematic sample
response
extrapolation
r2
14. When an observed difference is too large for us to believe that is is likely to have occurred naturally
conditional distribution
center
statistically significant
least squares
15. 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
center
contingency table
blinding
slope
16. When both those who could influence and evaluate the results are blinded
experiment
census
principles of experimental design
double-blind
17. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
single-blind
subset
population parameter
regression line
18. Doing this is equivalent to changing its units
random
changing center and spread
level
timeplot
19. 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
range
slope
bias
histogram
20. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
quantitative variable
data
stratified random sample
tails
21. The sequence of several components representing events that we are pretending will take place
trial
symmetric
bias
observational study
22. The number of individuals in a sample
sample size
z-score
intercept
blinding
23. Numerically valued attribute of a model
bimodal
slope
range
parameter
24. All experimental units have an equal chance of receiving any treatment
factor
retrospective study
completely randomized design
standardized value
25. A distribution that's roughly flat
uniform
unimodal
cluster sample
outlier
26. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
units
matched
dotplot
lurking variable
27. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
percentile
68-95-99.7 rule
representative
sample size
28. The middle value with half of the data above and half below it
principles of experimental design
comparing distributions
linear model
median
29. The best defense against bias - in which each individual is given a fair - random chance of selection
single-blind
systematic sample
randomization
conditional distribution
30. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
convenience sample
multimodal
center
treatment
31. A variable whose levels are controlled by the experimenter
lurking variable
factor
shifting
multistage sample
32. Found by summing all the data values and dividing by the count
simpson's paradox
mean
standard normal model
response variable
33. A sample drawn by selecting individuals systematically from a sampling frame
parameter
simulation
systematic sample
sampling variability
34. A point that does not fit the overall pattern seen in the scatterplot
population
sampling variability
outlier
regression line
35. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
strength
outliers
comparing distributions
response variable
36. 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
quartile
simulation component
matching
form
37. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
correlation
rescaling
regression to the mean
outliers
38. Design Randomization occurring within blocks
randomized block
direction
trial
interquartile range
39. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
marginal distribution
center
direction
r2
40. Value found by subtracting the mean and dividing by the standard deviation
experiment
standardized value
data table
random numbers
41. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
retrospective study
convenience sample
control group
simpson's paradox
42. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
bias
stem-and-leaf display
blinding
population
43. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
slope
pie chart
blinding
percentile
44. Bias introduced to a sample when a large fraction of those sampled fails to respond
nonresponse bias
stratified random sample
randomization
bar chart
45. An equation or formula that simplifies and represents reality
model
bias
center
randomization
46. Control - randomize - replicate - block
outliers
percentile
quartile
principles of experimental design
47. A normal model with a mean of 0 and a standard deviation of 1
random
census
standard normal model
lurking variable
48. Any attempt to force a sample to resemble specified attributes of the population
marginal distribution
predicted value
matching
comparing distributions
49. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
sample
dotplot
independence
ladder of powers
50. A numerically valued attribute of a model for a population
5-number summary
case
population parameter
z-score