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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. The middle value with half of the data above and half below it
normal percentile
influential point
spread
median
2. 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
simpson's paradox
symmetric
residuals
r2
3. An individual about whom or which we have data
case
multimodal
sampling variability
ladder of powers
4. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
correlation
simpson's paradox
simulation
5. Found by substituting the x-value in the regression equation; they're the values on the fitted line
simpson's paradox
influential point
predicted value
least squares
6. The difference between the lowest and highest values in a data set
range
quartile
68-95-99.7 rule
spread
7. Gives the possible values of the variable and the frequency or relative frequency of each value
distribution
marginal distribution
predicted value
spread
8. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
treatment
outliers
spread
spread
9. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
nonresponse bias
independence
standardizing
scatterplots
10. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
symmetric
placebo
simulation component
simple random sample
11. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
variance
percentile
bimodal
12. Shows a bar representing the count of each category in a categorical variable
leverage
simulation component
experiment
bar chart
13. Shows quantitative data values in a way that sketches the distribution of the data
stem-and-leaf display
bimodal
tails
area principle
14. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
outlier
random
outlier
15. 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
placebo effect
lurking variable
random numbers
subset
16. A list of individuals from whom the sample is drawn
influential point
sampling frame
retrospective study
rescaling
17. The distribution of a variable restricting the who to consider only a smaller group of individuals
predicted value
conditional distribution
strength
bar chart
18. Sampling schemes that combine several sampling methods
intercept
distribution
multistage sample
retrospective study
19. Values of this record the results of each trial with respect to what we were interested in
trial
quartile
response variable
pie chart
20. Any attempt to force a sample to resemble specified attributes of the population
strength
principles of experimental design
matching
sample size
21. Summarized with the mean or the median
variance
center
simulation
leverage
22. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
voluntary response bias
model
experiment
frequency table
23. A representative subset of a population - examined in hope of learning about the population
response
center
sample
convenience sample
24. Consists of the individuals who are conveniently available
pie chart
marginal distribution
placebo effect
convenience sample
25. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
standardized value
least squares
voluntary response bias
re-express data
26. A variable whose values are compared across different treatments
trial
matching
response
randomized block
27. 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
response
subset
lurking variable
slope
28. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
unimodal
outliers
boxplot
sampling variability
29. The number of individuals in a sample
sample size
re-express data
center
random
30. Places in order the effects that many re-expressions have on the data
experimental units
undercoverage
ladder of powers
boxplot
31. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
unimodal
placebo effect
tails
rescaling
32. Holds information about the same characteristic for many cases
variable
categorical variable
least squares
experiment
33. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
response
nonresponse bias
confounded
regression to the mean
34. The difference between the first and third quartiles
response variable
outcome
interquartile range
predicted value
35. Anything in a survey design that influences response
response bias
standard normal model
census
parameter
36. A sample drawn by selecting individuals systematically from a sampling frame
independence
case
r2
systematic sample
37. The sequence of several components representing events that we are pretending will take place
block
regression to the mean
outlier
trial
38. The square root of the variance
standard deviation
scatterplots
form
random
39. A variable in which the numbers act as numerical values; always has units
quantitative variable
boxplot
quartile
undercoverage
40. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
68-95-99.7 rule
mean
normal percentile
principles of experimental design
41. 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
prospective study
direction
response bias
quartile
42. Numerically valued attribute of a model
factor
normal model
68-95-99.7 rule
parameter
43. Extreme values that don't appear to belong with the rest of the data
sample size
least squares
outliers
conditional distribution
44. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
outlier
single-blind
unimodal
representative
45. 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
placebo
placebo effect
distribution
normal probability plot
46. The natural tendency of randomly drawn samples to differ
nonresponse bias
sampling variability
subset
boxplot
47. 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
prospective study
mode
direction
multimodal
48. Summarized with the standard deviation - interquartile range - and range
shape
spread
regression to the mean
correlation
49. Distributions with more than two modes
convenience sample
bar chart
trial
multimodal
50. When an observed difference is too large for us to believe that is is likely to have occurred naturally
normal percentile
statistically significant
systematic sample
sampling variability