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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. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
symmetric
prospective study
confounded
intercept
2. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
comparing distributions
convenience sample
range
3. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
center
simulation
sample survey
shape
4. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
census
symmetric
blinding
model
5. To be valid - an experiment must assign experimental units to treatment groups at random
multimodal
random assignment
mode
direction
6. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
extrapolation
sample survey
placebo
factor
7. The square root of the variance
correlation
standard deviation
outcome
boxplot
8. A numerically valued attribute of a model for a population
range
sampling variability
center
population parameter
9. The difference between the lowest and highest values in a data set
range
subset
leverage
quartile
10. The natural tendency of randomly drawn samples to differ
principles of experimental design
normal percentile
sampling variability
influential point
11. Gives the possible values of the variable and the relative frequency of each value
level
multimodal
distribution
center
12. Individuals on whom an experiment is performed
experimental units
independence
subset
outlier
13. Summarized with the mean or the median
cluster sample
conditional distribution
center
single-blind
14. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
variance
standardizing
residuals
representative
15. An individual result of a component of a simulation
outcome
stem-and-leaf display
strength
z-score
16. All experimental units have an equal chance of receiving any treatment
spread
experiment
control group
completely randomized design
17. When both those who could influence and evaluate the results are blinded
double-blind
unimodal
control group
outliers
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
standardized value
simpson's paradox
observational study
direction
19. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
direction
response
normal probability plot
bias
20. Systematically recorded information - whether numbers or labels - together with its context
normal percentile
quantitative variable
cluster sample
data
21. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
sample survey
predicted value
z-score
principles of experimental design
22. A numerical measure of the direction and strength of a linear association
spread
quartile
multistage sample
correlation
23. The middle value with half of the data above and half below it
symmetric
standard deviation
lurking variable
median
24. A point that does not fit the overall pattern seen in the scatterplot
outlier
lurking variable
area principle
bar chart
25. When doing this - consider their shape - center - and spread
comparing distributions
quartile
randomized block
nonresponse bias
26. 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
distribution
mean
mode
lurking variable
27. An equation of the form y-hat = b0 + b1x
linear model
ladder of powers
center
regression to the mean
28. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
case
least squares
data
variance
29. The ____ we care about most is straight
form
subset
predicted value
mode
30. 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
case
tails
matched
independence
31. A treatment known to have no effect - administered so that all groups experience the same conditions
placebo
histogram
undercoverage
control group
32. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
lurking variable
ladder of powers
factor
33. 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
histogram
variance
area principle
lurking variable
34. The most basic situation in a simulation in which something happens at random
quartile
simulation component
spread
shape
35. Control - randomize - replicate - block
center
simulation component
principles of experimental design
sample survey
36. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
sample survey
control group
single-blind
scatterplots
37. An equation or formula that simplifies and represents reality
model
sampling frame
undercoverage
population
38. Value calculated from data to summarize aspects of the data
single-blind
statistic
leverage
random numbers
39. The entire group of individuals or instances about whom we hope to learn
predicted value
matched
population
multistage sample
40. Distributions with more than two modes
quantitative variable
multimodal
population
statistically significant
41. Consists of the individuals who are conveniently available
convenience sample
percentile
shifting
population parameter
42. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
categorical variable
retrospective study
variance
dotplot
43. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
principles of experimental design
comparing distributions
regression line
treatment
44. Any attempt to force a sample to resemble specified attributes of the population
area principle
matching
treatment
least squares
45. Distributions with two modes
voluntary response bias
units
bimodal
random
46. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
standardizing
range
variable
variance
47. The distribution of a variable restricting the who to consider only a smaller group of individuals
randomization
conditional distribution
normal percentile
interquartile range
48. A sample that consists of the entire population
prospective study
center
census
principles of experimental design
49. Design Randomization occurring within blocks
completely randomized design
randomized block
uniform
standard deviation
50. 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
normal probability plot
simulation
outlier
parameter
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