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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 study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
sample survey
re-express data
context
strength
2. A sampling design in which entire groups are chosen at random
sample size
convenience sample
cluster sample
variable
3. Places in order the effects that many re-expressions have on the data
standard deviation
strength
units
ladder of powers
4. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
random numbers
intercept
data table
5. Useful family of models for unimodal - symmetric distributions
principles of experimental design
normal model
comparing distributions
intercept
6. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
extrapolation
tails
principles of experimental design
independence
7. A representative subset of a population - examined in hope of learning about the population
stem-and-leaf display
context
r2
sample
8. Displays data that change over time
outcome
response bias
timeplot
least squares
9. When both those who could influence and evaluate the results are blinded
direction
completely randomized design
double-blind
response bias
10. An individual result of a component of a simulation
outcome
nonresponse bias
random
percentile
11. Gives the possible values of the variable and the relative frequency of each value
observational study
distribution
voluntary response bias
simulation component
12. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
simple random sample
symmetric
mode
13. The entire group of individuals or instances about whom we hope to learn
population
direction
data table
random numbers
14. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
spread
double-blind
rescaling
prospective study
15. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
outliers
intercept
standardizing
subset
16. The distribution of a variable restricting the who to consider only a smaller group of individuals
outcome
normal percentile
conditional distribution
regression line
17. 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
interquartile range
spread
least squares
68-95-99.7 rule
18. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
subset
correlation
level
stratified random sample
19. An observational study in which subjects are followed to observe future outcomes
median
nonresponse bias
outcome
prospective study
20. Value calculated from data to summarize aspects of the data
bimodal
sample survey
observational study
statistic
21. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small
undercoverage
leverage
random assignment
least squares
22. Distributions with two modes
bias
symmetric
contingency table
bimodal
23. A sample drawn by selecting individuals systematically from a sampling frame
interquartile range
retrospective study
sampling variability
systematic sample
24. An equation of the form y-hat = b0 + b1x
systematic sample
independence
linear model
experiment
25. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed
mode
contingency table
simulation
unimodal
26. The specific values that the experimenter chooses for a factor
regression line
level
outcome
parameter
27. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
symmetric
single-blind
placebo effect
random
28. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
bimodal
model
retrospective study
ladder of powers
29. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
data table
lurking variable
range
ladder of powers
30. Found by substituting the x-value in the regression equation; they're the values on the fitted line
bar chart
predicted value
normal model
intercept
31. The sum of squared deviations from the mean - divided by the count minus one
block
observational study
re-express data
variance
32. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
quartile
response variable
response bias
33. 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
prospective study
cluster sample
histogram
mode
34. An individual about whom or which we have data
randomization
case
slope
outliers
35. A distribution is this if it's not symmetric and one tail stretches out farther than the other
extrapolation
5-number summary
skewed
outliers
36. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
shape
simple random sample
simulation component
representative
37. A variable that names categories (whether with words or numerals)
percentile
categorical variable
r2
predicted value
38. A numerically valued attribute of a model for a population
skewed
population parameter
undercoverage
regression line
39. A numerical measure of the direction and strength of a linear association
quantitative variable
least squares
dotplot
correlation
40. The ____ we care about most is straight
control group
least squares
form
skewed
41. A study based on data in which no manipulation of factors has been employed
parameter
observational study
intercept
model
42. The square root of the variance
case
regression to the mean
standard deviation
contingency table
43. All experimental units have an equal chance of receiving any treatment
completely randomized design
spread
distribution
cluster sample
44. Shows a bar representing the count of each category in a categorical variable
bar chart
outlier
convenience sample
shifting
45. Any attempt to force a sample to resemble specified attributes of the population
matching
placebo
outcome
direction
46. An event is this if we know what outcomes could happen - but not which particular values will happen
blinding
standard normal model
simple random sample
random
47. 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
marginal distribution
extrapolation
form
response
48. Shows quantitative data values in a way that sketches the distribution of the data
standard normal model
stem-and-leaf display
skewed
normal model
49. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
placebo effect
outliers
least squares
convenience sample
50. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data
predicted value
subset
correlation
random numbers