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Test your basic knowledge |
AP Statistics Vocab
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Subjects
:
statistics
,
ap
Instructions:
Answer 50 questions in 15 minutes.
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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 sample that consists of the entire population
census
treatment
blinding
standard deviation
2. A variable in which the numbers act as numerical values; always has units
multimodal
quantitative variable
parameter
sample
3. The natural tendency of randomly drawn samples to differ
sampling variability
contingency table
lurking variable
distribution
4. Graphs a dot for each case against a single axis
dotplot
double-blind
outliers
sampling variability
5. Design Randomization occurring within blocks
quantitative variable
parameter
context
randomized block
6. A normal model with a mean of 0 and a standard deviation of 1
trial
nonresponse bias
standard normal model
outlier
7. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
response variable
sample
outlier
standardizing
8. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
mean
lurking variable
normal percentile
5-number summary
9. A list of individuals from whom the sample is drawn
changing center and spread
normal percentile
sampling frame
random
10. Holds information about the same characteristic for many cases
variable
normal percentile
response variable
regression line
11. Numerically valued attribute of a model
parameter
marginal distribution
influential point
principles of experimental design
12. A treatment known to have no effect - administered so that all groups experience the same conditions
placebo
parameter
level
data table
13. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small
histogram
leverage
response variable
factor
14. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
multimodal
distribution
unimodal
random
15. A variable whose values are compared across different treatments
subset
distribution
influential point
response
16. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
interquartile range
shape
control group
response bias
17. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
regression line
placebo
population parameter
blinding
18. Places in order the effects that many re-expressions have on the data
correlation
ladder of powers
simulation component
area principle
19. 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
standard normal model
bias
center
20. 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
observational study
representative
uniform
21. Shows a bar representing the count of each category in a categorical variable
bar chart
rescaling
r2
extrapolation
22. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
control group
multistage sample
sampling variability
least squares
23. Shows the relationship between two quantitative variables measured on the same cases
systematic sample
categorical variable
scatterplots
distribution
24. A distribution is this if it's not symmetric and one tail stretches out farther than the other
5-number summary
boxplot
area principle
skewed
25. 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
mean
dotplot
undercoverage
convenience sample
26. 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
form
direction
predicted value
principles of experimental design
27. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
lurking variable
outcome
bimodal
placebo effect
28. The number of individuals in a sample
independence
sample size
undercoverage
outcome
29. Anything in a survey design that influences response
range
response bias
experimental units
completely randomized design
30. Doing this is equivalent to changing its units
linear model
influential point
treatment
changing center and spread
31. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
data
stratified random sample
simpson's paradox
strength
32. A distribution that's roughly flat
simulation component
uniform
shape
response bias
33. Gives the possible values of the variable and the frequency or relative frequency of each value
distribution
placebo effect
correlation
percentile
34. A variable whose levels are controlled by the experimenter
factor
simulation component
block
r2
35. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
normal percentile
residuals
leverage
range
36. An observational study in which subjects are followed to observe future outcomes
normal percentile
sampling frame
prospective study
contingency table
37. The ith ___ is the number that falls above i% of the data
shifting
census
subset
percentile
38. When either those who could influence or evaluate the results is blinded
rescaling
random assignment
slope
single-blind
39. An individual result of a component of a simulation
principles of experimental design
unimodal
outcome
contingency table
40. The specific values that the experimenter chooses for a factor
mean
level
observational study
regression line
41. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
re-express data
frequency table
block
tails
42. The square root of the variance
linear model
standard deviation
r2
response bias
43. Extreme values that don't appear to belong with the rest of the data
outcome
census
outliers
unimodal
44. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
sample survey
mean
model
45. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
sample size
experiment
leverage
46. Found by substituting the x-value in the regression equation; they're the values on the fitted line
placebo effect
changing center and spread
representative
predicted value
47. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
independence
factor
intercept
randomization
48. 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
range
contingency table
symmetric
standardizing
49. The sequence of several components representing events that we are pretending will take place
sample size
trial
intercept
center
50. The ____ we care about most is straight
influential point
form
shifting
voluntary response bias
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