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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 difference between the lowest and highest values in a data set
marginal distribution
single-blind
r2
range
2. 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
bar chart
unimodal
tails
3. Value calculated from data to summarize aspects of the data
trial
mean
statistic
percentile
4. An equation of the form y-hat = b0 + b1x
direction
5-number summary
linear model
nonresponse bias
5. A variable that names categories (whether with words or numerals)
factor
undercoverage
mode
categorical variable
6. The difference between the first and third quartiles
block
percentile
independence
interquartile range
7. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest
subset
least squares
matched
outlier
8. The number of individuals in a sample
mean
random
residuals
sample size
9. Found by summing all the data values and dividing by the count
shape
level
mean
scatterplots
10. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
lurking variable
uniform
outlier
undercoverage
11. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
experimental units
blinding
median
12. The ith ___ is the number that falls above i% of the data
sample size
single-blind
percentile
trial
13. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
stem-and-leaf display
spread
blinding
bias
14. The most basic situation in a simulation in which something happens at random
simulation component
multistage sample
representative
frequency table
15. When averages are taken across different groups - they can appear to contradict the overall averages
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16. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR
extrapolation
observational study
conditional distribution
shifting
17. 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
context
treatment
standard normal model
categorical variable
18. The distribution of a variable restricting the who to consider only a smaller group of individuals
stratified random sample
linear model
bias
conditional distribution
19. Holds information about the same characteristic for many cases
standard deviation
variance
variable
r2
20. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
blinding
interquartile range
sample survey
convenience sample
21. 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
area principle
randomized block
simulation
random numbers
22. A numerical summary of how tightly the values are clustered around the 'center'
placebo effect
scatterplots
spread
5-number summary
23. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
standardizing
simple random sample
normal percentile
lurking variable
24. 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
subset
population
intercept
cluster sample
25. The middle value with half of the data above and half below it
median
simulation component
categorical variable
direction
26. Systematically recorded information - whether numbers or labels - together with its context
cluster sample
boxplot
nonresponse bias
data
27. All experimental units have an equal chance of receiving any treatment
completely randomized design
double-blind
boxplot
predicted value
28. Found by substituting the x-value in the regression equation; they're the values on the fitted line
trial
confounded
variable
predicted value
29. Values of this record the results of each trial with respect to what we were interested in
double-blind
quantitative variable
confounded
response variable
30. Summarized with the mean or the median
normal model
variable
population
center
31. A representative subset of a population - examined in hope of learning about the population
population
distribution
sample
outlier
32. To be valid - an experiment must assign experimental units to treatment groups at random
frequency table
random assignment
categorical variable
lurking variable
33. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
completely randomized design
treatment
center
sample survey
34. Anything in a survey design that influences response
response bias
distribution
ladder of powers
voluntary response bias
35. In a statistical display - each data value should be represented by the same amount of area
area principle
extrapolation
prospective study
unimodal
36. A point that does not fit the overall pattern seen in the scatterplot
normal percentile
randomization
population parameter
outlier
37. 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
standard normal model
lurking variable
strength
38. Manipulates factor levels to create treatments - randomly assigns subjects to these treatment levels - and then compares the responses of the subject groups across treatment levels
matching
experiment
center
r2
39. A variable whose values are compared across different treatments
shape
direction
distribution
response
40. Individuals on whom an experiment is performed
unimodal
sample size
experimental units
convenience sample
41. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
multistage sample
strength
5-number summary
standard deviation
42. Summarized with the standard deviation - interquartile range - and range
least squares
timeplot
sample
spread
43. When doing this - consider their shape - center - and spread
comparing distributions
slope
standard deviation
variable
44. When omitting a point from the data results in a very different regression model - the point is an ____
influential point
model
frequency table
re-express data
45. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
independence
tails
prospective study
voluntary response bias
46. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
residuals
slope
control group
distribution
47. A numerically valued attribute of a model for a population
randomized block
population parameter
re-express data
voluntary response bias
48. When either those who could influence or evaluate the results is blinded
statistically significant
interquartile range
single-blind
slope
49. A distribution is this if it's not symmetric and one tail stretches out farther than the other
stem-and-leaf display
blinding
case
skewed
50. A sample drawn by selecting individuals systematically from a sampling frame
systematic sample
standardized value
outlier
simple random sample