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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 distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
undercoverage
histogram
normal probability plot
2. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
completely randomized design
outlier
matched
scatterplots
3. A point that does not fit the overall pattern seen in the scatterplot
predicted value
correlation
outlier
least squares
4. The most basic situation in a simulation in which something happens at random
ladder of powers
conditional distribution
boxplot
simulation component
5. Design Randomization occurring within blocks
experiment
statistically significant
randomized block
center
6. A variable whose values are compared across different treatments
convenience sample
completely randomized design
response
sampling frame
7. A sample that consists of the entire population
census
distribution
standard normal model
slope
8. A sample drawn by selecting individuals systematically from a sampling frame
parameter
direction
systematic sample
conditional distribution
9. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
experiment
standardized value
strength
observational study
10. Holds information about the same characteristic for many cases
representative
experimental units
variable
confounded
11. 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
regression line
multistage sample
mode
normal percentile
12. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
intercept
census
center
control group
13. When both those who could influence and evaluate the results are blinded
control group
double-blind
retrospective study
center
14. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
stratified random sample
regression to the mean
center
strength
15. A representative subset of a population - examined in hope of learning about the population
double-blind
sampling variability
sample
retrospective study
16. Consists of the individuals who are conveniently available
lurking variable
systematic sample
changing center and spread
convenience sample
17. A normal model with a mean of 0 and a standard deviation of 1
case
quartile
standard normal model
simpson's paradox
18. 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
control group
direction
population parameter
units
19. In a statistical display - each data value should be represented by the same amount of area
random assignment
area principle
changing center and spread
single-blind
20. Value calculated from data to summarize aspects of the data
statistic
prospective study
68-95-99.7 rule
standard deviation
21. An individual result of a component of a simulation
multimodal
simulation component
multistage sample
outcome
22. Gives the possible values of the variable and the relative frequency of each value
distribution
marginal distribution
census
least squares
23. Value found by subtracting the mean and dividing by the standard deviation
outcome
data
lurking variable
standardized value
24. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
standardizing
experimental units
data
sample survey
25. Anything in a survey design that influences response
response bias
lurking variable
pie chart
uniform
26. An equation of the form y-hat = b0 + b1x
factor
linear model
unimodal
outlier
27. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
block
lurking variable
intercept
simple random sample
28. 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
prospective study
slope
unimodal
variable
29. 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
randomization
intercept
marginal distribution
multimodal
30. A numerically valued attribute of a model for a population
model
trial
sampling frame
population parameter
31. The ith ___ is the number that falls above i% of the data
percentile
subset
variable
context
32. Shows a bar representing the count of each category in a categorical variable
random assignment
bar chart
model
sample
33. 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
influential point
randomization
quartile
case
34. An arrangement of data in which each row represents a case and each column represents a variable
data table
conditional distribution
distribution
population parameter
35. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
mean
randomized block
lurking variable
tails
36. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
area principle
stem-and-leaf display
placebo effect
37. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
strength
symmetric
ladder of powers
38. 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
random
retrospective study
sampling frame
histogram
39. Places in order the effects that many re-expressions have on the data
multistage sample
bar chart
standardized value
ladder of powers
40. A variable in which the numbers act as numerical values; always has units
quantitative variable
random
shifting
statistic
41. Values of this record the results of each trial with respect to what we were interested in
intercept
subset
bias
response variable
42. Graphs a dot for each case against a single axis
subset
dotplot
simple random sample
representative
43. A variable that names categories (whether with words or numerals)
response
categorical variable
random
quantitative variable
44. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
center
confounded
randomized block
distribution
45. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
regression to the mean
retrospective study
random assignment
categorical variable
46. An individual about whom or which we have data
population parameter
variance
ladder of powers
case
47. When groups of experimental units are similar - it is a good idea to gather them together into these
block
representative
context
re-express data
48. The difference between the first and third quartiles
quartile
model
spread
interquartile range
49. The number of individuals in a sample
sample size
prospective study
case
completely randomized design
50. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
trial
mean
response
bias