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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 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
principles of experimental design
uniform
direction
cluster sample
2. Summarized with the mean or the median
center
normal model
convenience sample
nonresponse bias
3. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
completely randomized design
slope
skewed
5-number summary
4. When averages are taken across different groups - they can appear to contradict the overall averages
5. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
extrapolation
response variable
sampling variability
center
6. Places in order the effects that many re-expressions have on the data
leverage
convenience sample
ladder of powers
re-express data
7. A list of individuals from whom the sample is drawn
sampling frame
leverage
median
distribution
8. The difference between the first and third quartiles
leverage
interquartile range
intercept
center
9. When omitting a point from the data results in a very different regression model - the point is an ____
boxplot
center
influential point
standardized value
10. Useful family of models for unimodal - symmetric distributions
center
interquartile range
normal model
nonresponse bias
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
extrapolation
randomization
context
lurking variable
12. Sampling schemes that combine several sampling methods
standard deviation
center
multistage sample
level
13. In a statistical display - each data value should be represented by the same amount of area
statistic
response bias
area principle
comparing distributions
14. Control - randomize - replicate - block
principles of experimental design
prospective study
regression to the mean
cluster sample
15. All experimental units have an equal chance of receiving any treatment
simulation
completely randomized design
leverage
regression line
16. The number of individuals in a sample
sample size
dotplot
timeplot
rescaling
17. An individual about whom or which we have data
observational study
level
case
predicted value
18. Consists of the individuals who are conveniently available
sampling variability
frequency table
population parameter
convenience sample
19. Holds information about the same characteristic for many cases
percentile
shifting
parameter
variable
20. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
completely randomized design
scatterplots
lurking variable
trial
21. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
normal percentile
experiment
response
outliers
22. Systematically recorded information - whether numbers or labels - together with its context
experiment
spread
independence
data
23. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
prospective study
boxplot
outcome
sample survey
24. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
outlier
retrospective study
sample survey
independence
25. An observational study in which subjects are followed to observe future outcomes
blinding
prospective study
census
quartile
26. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
distribution
lurking variable
re-express data
random numbers
27. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
statistic
representative
interquartile range
area principle
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
undercoverage
rescaling
linear model
simulation
29. Graphs a dot for each case against a single axis
random assignment
bar chart
dotplot
influential point
30. The distribution of a variable restricting the who to consider only a smaller group of individuals
single-blind
marginal distribution
conditional distribution
variable
31. Value found by subtracting the mean and dividing by the standard deviation
z-score
distribution
statistically significant
standardized value
32. Anything in a survey design that influences response
response
blinding
response bias
stem-and-leaf display
33. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
ladder of powers
blinding
standard normal model
direction
34. Design Randomization occurring within blocks
level
linear model
randomized block
standardizing
35. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
contingency table
sample size
dotplot
36. When doing this - consider their shape - center - and spread
comparing distributions
dotplot
population parameter
subset
37. An event is this if we know what outcomes could happen - but not which particular values will happen
multistage sample
rescaling
sample size
random
38. A distribution is this if it's not symmetric and one tail stretches out farther than the other
placebo
re-express data
skewed
quantitative variable
39. The middle value with half of the data above and half below it
median
r2
skewed
slope
40. A sample drawn by selecting individuals systematically from a sampling frame
factor
interquartile range
boxplot
systematic sample
41. 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
normal model
spread
normal probability plot
sampling frame
42. A variable whose levels are controlled by the experimenter
factor
trial
standardizing
matching
43. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
shifting
area principle
block
control group
44. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
shifting
spread
unimodal
re-express data
45. A representative subset of a population - examined in hope of learning about the population
shape
sample
distribution
response bias
46. Summarized with the standard deviation - interquartile range - and range
center
undercoverage
spread
skewed
47. A point that does not fit the overall pattern seen in the scatterplot
quartile
z-score
outlier
completely randomized design
48. The entire group of individuals or instances about whom we hope to learn
frequency table
distribution
linear model
population
49. 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
range
slope
direction
subset
50. A variable in which the numbers act as numerical values; always has units
quantitative variable
sampling variability
uniform
strength