SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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 linear equation y-hat = b0 + b1x that satisfies the least squares criterion
stem-and-leaf display
regression line
experimental units
placebo
2. An individual result of a component of a simulation
outcome
population
predicted value
treatment
3. Bias introduced to a sample when a large fraction of those sampled fails to respond
distribution
nonresponse bias
multimodal
randomization
4. 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
model
median
timeplot
5. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
nonresponse bias
lurking variable
data
bias
6. Consists of the individuals who are conveniently available
influential point
blinding
convenience sample
conditional distribution
7. Graphs a dot for each case against a single axis
r2
dotplot
retrospective study
outlier
8. Extreme values that don't appear to belong with the rest of the data
outliers
changing center and spread
observational study
treatment
9. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
trial
intercept
percentile
parameter
10. A treatment known to have no effect - administered so that all groups experience the same conditions
undercoverage
dotplot
outliers
placebo
11. Places in order the effects that many re-expressions have on the data
comparing distributions
ladder of powers
stratified random sample
response variable
12. Value found by subtracting the mean and dividing by the standard deviation
comparing distributions
standard normal model
bimodal
standardized value
13. All experimental units have an equal chance of receiving any treatment
center
quantitative variable
completely randomized design
convenience sample
14. A variable in which the numbers act as numerical values; always has units
simple random sample
quantitative variable
units
observational study
15. Shows quantitative data values in a way that sketches the distribution of the data
outliers
sample
parameter
stem-and-leaf display
16. Design Randomization occurring within blocks
dotplot
randomized block
spread
shifting
17. Doing this is equivalent to changing its units
residuals
shape
changing center and spread
bimodal
18. 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
representative
normal probability plot
random
placebo
19. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
simple random sample
treatment
extrapolation
ladder of powers
20. A numerically valued attribute of a model for a population
nonresponse bias
single-blind
population parameter
residuals
21. The sequence of several components representing events that we are pretending will take place
representative
blinding
distribution
trial
22. A list of individuals from whom the sample is drawn
single-blind
sampling frame
retrospective study
voluntary response bias
23. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
principles of experimental design
treatment
categorical variable
linear model
24. The ith ___ is the number that falls above i% of the data
median
voluntary response bias
percentile
population
25. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
spread
bias
mean
model
26. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
treatment
confounded
placebo
random
27. 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
random assignment
randomization
matched
variable
28. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
model
r2
tails
unimodal
29. 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
nonresponse bias
quartile
statistically significant
independence
30. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
quantitative variable
statistically significant
pie chart
boxplot
31. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
treatment
independence
slope
symmetric
32. Value calculated from data to summarize aspects of the data
completely randomized design
statistic
outlier
bimodal
33. 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
undercoverage
randomized block
symmetric
slope
34. Individuals on whom an experiment is performed
experimental units
direction
variance
ladder of powers
35. 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
r2
leverage
sampling variability
data
36. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
experimental units
unimodal
68-95-99.7 rule
confounded
37. A variable whose levels are controlled by the experimenter
categorical variable
regression line
stem-and-leaf display
factor
38. An observational study in which subjects are followed to observe future outcomes
simulation component
control group
prospective study
leverage
39. Shows the relationship between two quantitative variables measured on the same cases
level
scatterplots
response
confounded
40. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
shape
representative
5-number summary
independence
41. Numerically valued attribute of a model
boxplot
parameter
census
frequency table
42. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
standardizing
sample
random numbers
predicted value
43. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
regression to the mean
least squares
68-95-99.7 rule
sampling frame
44. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
range
scatterplots
shifting
45. Systematically recorded information - whether numbers or labels - together with its context
sampling frame
data
voluntary response bias
data table
46. Displays data that change over time
outlier
timeplot
completely randomized design
units
47. A distribution that's roughly flat
principles of experimental design
blinding
randomized block
uniform
48. To be valid - an experiment must assign experimental units to treatment groups at random
normal model
convenience sample
context
random assignment
49. An equation of the form y-hat = b0 + b1x
cluster sample
timeplot
units
linear model
50. Summarized with the mean or the median
experimental units
variable
center
retrospective study