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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. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
undercoverage
center
r2
2. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
normal model
symmetric
statistic
block
3. Holds information about the same characteristic for many cases
distribution
bar chart
lurking variable
variable
4. A sampling design in which entire groups are chosen at random
r2
normal probability plot
data
cluster sample
5. Shows the relationship between two quantitative variables measured on the same cases
simulation component
extrapolation
scatterplots
correlation
6. When doing this - consider their shape - center - and spread
normal model
comparing distributions
multistage sample
regression line
7. 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
simulation
strength
retrospective study
8. The number of individuals in a sample
sample size
spread
matching
systematic sample
9. A numerical summary of how tightly the values are clustered around the 'center'
spread
standard deviation
matched
context
10. A variable whose levels are controlled by the experimenter
completely randomized design
undercoverage
factor
simple random sample
11. 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
quartile
randomized block
percentile
68-95-99.7 rule
12. Control - randomize - replicate - block
variable
stratified random sample
context
principles of experimental design
13. Found by substituting the x-value in the regression equation; they're the values on the fitted line
unimodal
predicted value
simpson's paradox
representative
14. Individuals on whom an experiment is performed
experimental units
completely randomized design
context
bar chart
15. Places in order the effects that many re-expressions have on the data
ladder of powers
skewed
multimodal
spread
16. All experimental units have an equal chance of receiving any treatment
placebo effect
histogram
interquartile range
completely randomized design
17. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
subset
statistic
standard normal model
re-express data
18. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
observational study
distribution
simpson's paradox
19. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
conditional distribution
lurking variable
blinding
response bias
20. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
area principle
uniform
nonresponse bias
representative
21. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
randomized block
tails
comparing distributions
interquartile range
22. 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
variable
variance
quartile
blinding
23. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
subset
units
statistic
pie chart
24. The difference between the first and third quartiles
undercoverage
multistage sample
categorical variable
interquartile range
25. A sample that consists of the entire population
factor
normal probability plot
census
response bias
26. A representative subset of a population - examined in hope of learning about the population
multistage sample
contingency table
sample
mean
27. An event is this if we know what outcomes could happen - but not which particular values will happen
stem-and-leaf display
response variable
quantitative variable
random
28. 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
outlier
simulation
z-score
intercept
29. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
sampling frame
tails
strength
30. 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
contingency table
matching
slope
multistage sample
31. When averages are taken across different groups - they can appear to contradict the overall averages
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32. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
independence
multimodal
outcome
representative
33. An individual about whom or which we have data
completely randomized design
trial
lurking variable
case
34. 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
simulation
direction
population
uniform
35. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
single-blind
population parameter
direction
lurking variable
36. Shows quantitative data values in a way that sketches the distribution of the data
stem-and-leaf display
systematic sample
units
subset
37. A point that does not fit the overall pattern seen in the scatterplot
normal percentile
outlier
subset
population parameter
38. A sample drawn by selecting individuals systematically from a sampling frame
response bias
systematic sample
prospective study
nonresponse bias
39. The most basic situation in a simulation in which something happens at random
population parameter
simulation component
treatment
census
40. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
correlation
residuals
retrospective study
simulation
41. Sampling schemes that combine several sampling methods
multistage sample
tails
data
distribution
42. 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
matched
5-number summary
voluntary response bias
r2
43. An observational study in which subjects are followed to observe future outcomes
principles of experimental design
slope
strength
prospective study
44. The ith ___ is the number that falls above i% of the data
center
statistically significant
percentile
correlation
45. A variable in which the numbers act as numerical values; always has units
quantitative variable
placebo effect
rescaling
form
46. A distribution that's roughly flat
sample survey
spread
uniform
factor
47. Distributions with two modes
predicted value
bimodal
response bias
convenience sample
48. Gives the possible values of the variable and the frequency or relative frequency of each value
prospective study
distribution
block
voluntary response bias
49. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
distribution
z-score
sampling variability
shape
50. An equation of the form y-hat = b0 + b1x
voluntary response bias
block
linear model
z-score