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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. Useful family of models for unimodal - symmetric distributions
regression to the mean
random numbers
normal model
marginal distribution
2. Shows a bar representing the count of each category in a categorical variable
interquartile range
timeplot
bar chart
standardized value
3. Gives the possible values of the variable and the frequency or relative frequency of each value
histogram
distribution
conditional distribution
pie chart
4. An equation or formula that simplifies and represents reality
confounded
model
lurking variable
matched
5. Systematically recorded information - whether numbers or labels - together with its context
ladder of powers
randomization
normal probability plot
data
6. An individual result of a component of a simulation
outcome
mean
data table
convenience sample
7. Values of this record the results of each trial with respect to what we were interested in
standard deviation
influential point
response variable
ladder of powers
8. A sample drawn by selecting individuals systematically from a sampling frame
systematic sample
lurking variable
strength
quartile
9. The difference between the lowest and highest values in a data set
area principle
range
spread
outlier
10. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
percentile
symmetric
5-number summary
area principle
11. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed
outlier
quantitative variable
symmetric
context
12. When averages are taken across different groups - they can appear to contradict the overall averages
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13. When groups of experimental units are similar - it is a good idea to gather them together into these
block
units
uniform
outlier
14. 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
slope
form
pie chart
blinding
15. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
area principle
completely randomized design
stratified random sample
16. 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
undercoverage
population parameter
block
extrapolation
17. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
residuals
treatment
r2
18. An observational study in which subjects are followed to observe future outcomes
bias
outcome
histogram
prospective study
19. In a statistical display - each data value should be represented by the same amount of area
context
retrospective study
area principle
completely randomized design
20. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
spread
r2
block
boxplot
21. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
predicted value
bar chart
simple random sample
rescaling
22. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
predicted value
voluntary response bias
range
ladder of powers
23. A numerical summary of how tightly the values are clustered around the 'center'
block
standardizing
response bias
spread
24. When omitting a point from the data results in a very different regression model - the point is an ____
experiment
influential point
standardizing
shape
25. A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population
boxplot
68-95-99.7 rule
percentile
undercoverage
26. Value calculated from data to summarize aspects of the data
correlation
experiment
statistic
random assignment
27. Extreme values that don't appear to belong with the rest of the data
extrapolation
outliers
sample
voluntary response bias
28. 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
68-95-99.7 rule
matching
population parameter
case
29. Distributions with two modes
changing center and spread
bimodal
normal percentile
population
30. When an observed difference is too large for us to believe that is is likely to have occurred naturally
representative
statistically significant
matching
z-score
31. Summarized with the standard deviation - interquartile range - and range
prospective study
response variable
spread
uniform
32. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
blinding
center
frequency table
standardizing
33. 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
histogram
sample survey
normal probability plot
strength
34. The sequence of several components representing events that we are pretending will take place
trial
variable
shape
parameter
35. Individuals on whom an experiment is performed
5-number summary
experimental units
standard normal model
mode
36. Displays data that change over time
sample survey
prospective study
area principle
timeplot
37. The natural tendency of randomly drawn samples to differ
randomization
ladder of powers
sampling variability
outcome
38. Numerically valued attribute of a model
boxplot
parameter
control group
correlation
39. Found by substituting the x-value in the regression equation; they're the values on the fitted line
predicted value
population
sample
regression line
40. The square root of the variance
independence
uniform
standard deviation
sampling variability
41. Shows quantitative data values in a way that sketches the distribution of the data
normal percentile
z-score
least squares
stem-and-leaf display
42. 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
random
systematic sample
mode
contingency table
43. Bias introduced to a sample when a large fraction of those sampled fails to respond
68-95-99.7 rule
population parameter
nonresponse bias
observational study
44. When either those who could influence or evaluate the results is blinded
intercept
histogram
single-blind
census
45. A sampling design in which entire groups are chosen at random
cluster sample
distribution
level
retrospective study
46. The difference between the first and third quartiles
sample size
interquartile range
categorical variable
range
47. The most basic situation in a simulation in which something happens at random
form
simulation component
lurking variable
marginal distribution
48. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
treatment
stem-and-leaf display
simpson's paradox
linear model
49. 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
marginal distribution
factor
simpson's paradox
standard deviation
50. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
boxplot
outlier
68-95-99.7 rule
variable