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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. When averages are taken across different groups - they can appear to contradict the overall averages
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2. Value found by subtracting the mean and dividing by the standard deviation
sampling frame
ladder of powers
data table
standardized value
3. The most basic situation in a simulation in which something happens at random
unimodal
simulation component
contingency table
bar chart
4. The ____ we care about most is straight
data
scatterplots
form
randomization
5. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
random assignment
form
mean
placebo effect
6. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
regression to the mean
principles of experimental design
z-score
distribution
7. A variable whose values are compared across different treatments
center
convenience sample
uniform
response
8. 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
percentile
normal probability plot
outcome
convenience sample
9. 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
strength
correlation
subset
residuals
10. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
skewed
control group
rescaling
interquartile range
11. A point that does not fit the overall pattern seen in the scatterplot
census
regression line
outlier
response variable
12. Values of this record the results of each trial with respect to what we were interested in
response variable
bias
factor
standardized value
13. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
direction
slope
unimodal
leverage
14. A treatment known to have no effect - administered so that all groups experience the same conditions
placebo
principles of experimental design
standard normal model
systematic sample
15. When doing this - consider their shape - center - and spread
center
outlier
comparing distributions
marginal distribution
16. All experimental units have an equal chance of receiving any treatment
completely randomized design
predicted value
sample size
correlation
17. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
standard deviation
tails
shape
skewed
18. Found by substituting the x-value in the regression equation; they're the values on the fitted line
sample size
uniform
predicted value
tails
19. An individual result of a component of a simulation
outlier
outcome
sampling frame
voluntary response bias
20. An arrangement of data in which each row represents a case and each column represents a variable
data table
scatterplots
confounded
matching
21. An individual about whom or which we have data
case
cluster sample
categorical variable
least squares
22. 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
matched
mean
stratified random sample
trial
23. Summarized with the standard deviation - interquartile range - and range
least squares
spread
tails
scatterplots
24. Consists of the individuals who are conveniently available
linear model
data table
correlation
convenience sample
25. Individuals on whom an experiment is performed
re-express data
percentile
quartile
experimental units
26. 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
retrospective study
shifting
standardized value
conditional distribution
27. Systematically recorded information - whether numbers or labels - together with its context
nonresponse bias
center
contingency table
data
28. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
extrapolation
sample
outlier
unimodal
29. 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
stem-and-leaf display
outlier
experiment
multistage sample
30. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
case
frequency table
strength
31. A numerical summary of how tightly the values are clustered around the 'center'
lurking variable
spread
systematic sample
normal model
32. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
treatment
percentile
double-blind
r2
33. Places in order the effects that many re-expressions have on the data
matched
voluntary response bias
ladder of powers
least squares
34. The ith ___ is the number that falls above i% of the data
cluster sample
percentile
principles of experimental design
distribution
35. A distribution is this if it's not symmetric and one tail stretches out farther than the other
data
shifting
skewed
sampling frame
36. 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
distribution
quartile
distribution
37. Bias introduced to a sample when a large fraction of those sampled fails to respond
sample survey
nonresponse bias
sampling variability
spread
38. Extreme values that don't appear to belong with the rest of the data
factor
scatterplots
outliers
center
39. 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
lurking variable
correlation
experimental units
contingency table
40. Distributions with more than two modes
multimodal
uniform
response
prospective study
41. 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
block
r2
symmetric
systematic sample
42. Gives the possible values of the variable and the frequency or relative frequency of each value
data
distribution
shifting
completely randomized design
43. A sample that consists of the entire population
randomization
census
units
simple random sample
44. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
ladder of powers
stratified random sample
outlier
pie chart
45. In a statistical display - each data value should be represented by the same amount of area
area principle
predicted value
5-number summary
convenience sample
46. An equation of the form y-hat = b0 + b1x
marginal distribution
simulation
linear model
leverage
47. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
multistage sample
rescaling
68-95-99.7 rule
48. A distribution that's roughly flat
uniform
population parameter
outlier
tails
49. A sampling design in which entire groups are chosen at random
cluster sample
blinding
unimodal
normal probability plot
50. Design Randomization occurring within blocks
randomized block
skewed
regression line
form