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Test your basic knowledge |
AP Statistics Vocab
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Subjects
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statistics
,
ap
Instructions:
Answer 50 questions in 15 minutes.
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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. An event is this if we know what outcomes could happen - but not which particular values will happen
center
random
sampling variability
center
2. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
observational study
representative
population parameter
stratified random sample
3. The difference between the first and third quartiles
form
sample
re-express data
interquartile range
4. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
convenience sample
placebo effect
distribution
quantitative variable
5. The difference between the lowest and highest values in a data set
predicted value
outliers
range
68-95-99.7 rule
6. Systematically recorded information - whether numbers or labels - together with its context
data
independence
linear model
treatment
7. 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
trial
z-score
normal probability plot
multimodal
8. A numerical measure of the direction and strength of a linear association
correlation
completely randomized design
case
randomized block
9. The natural tendency of randomly drawn samples to differ
standard normal model
sampling variability
slope
area principle
10. The middle value with half of the data above and half below it
predicted value
median
statistically significant
unimodal
11. Gives the possible values of the variable and the frequency or relative frequency of each value
form
distribution
matching
population
12. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
units
control group
residuals
sample size
13. An equation of the form y-hat = b0 + b1x
variance
strength
linear model
response variable
14. Gives the possible values of the variable and the relative frequency of each value
trial
changing center and spread
outlier
distribution
15. A point that does not fit the overall pattern seen in the scatterplot
quartile
data table
random numbers
outlier
16. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
representative
standardizing
variable
standardized value
17. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
z-score
spread
residuals
randomized block
18. 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
unimodal
68-95-99.7 rule
leverage
systematic sample
19. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
center
center
random numbers
undercoverage
20. An arrangement of data in which each row represents a case and each column represents a variable
data table
linear model
double-blind
simulation
21. Value calculated from data to summarize aspects of the data
statistic
blinding
normal percentile
residuals
22. 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
center
r2
undercoverage
23. 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
median
simulation
distribution
marginal distribution
24. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
area principle
voluntary response bias
quantitative variable
quartile
25. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
voluntary response bias
systematic sample
interquartile range
26. Extreme values that don't appear to belong with the rest of the data
influential point
sample
outlier
outliers
27. Control - randomize - replicate - block
principles of experimental design
linear model
predicted value
stratified random sample
28. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
cluster sample
simulation component
lurking variable
5-number summary
29. Distributions with more than two modes
case
simulation component
shifting
multimodal
30. Distributions with two modes
bimodal
scatterplots
sampling frame
level
31. Bias introduced to a sample when a large fraction of those sampled fails to respond
predicted value
nonresponse bias
bar chart
sampling frame
32. Summarized with the mean or the median
range
subset
systematic sample
center
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
sample size
quartile
cluster sample
predicted value
34. The specific values that the experimenter chooses for a factor
sampling variability
single-blind
level
simple random sample
35. A numerically valued attribute of a model for a population
population parameter
least squares
sample survey
distribution
36. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
observational study
placebo
experiment
rescaling
37. Sampling schemes that combine several sampling methods
simpson's paradox
retrospective study
representative
multistage sample
38. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
linear model
observational study
stratified random sample
39. Values of this record the results of each trial with respect to what we were interested in
quantitative variable
representative
response variable
normal percentile
40. The ____ we care about most is straight
block
matched
form
direction
41. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
level
symmetric
variable
mode
42. Places in order the effects that many re-expressions have on the data
ladder of powers
lurking variable
skewed
stem-and-leaf display
43. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
observational study
frequency table
lurking variable
variable
44. Useful family of models for unimodal - symmetric distributions
stem-and-leaf display
normal model
influential point
bar chart
45. Design Randomization occurring within blocks
quartile
randomized block
level
confounded
46. Found by summing all the data values and dividing by the count
normal probability plot
standard deviation
mean
voluntary response bias
47. Found by substituting the x-value in the regression equation; they're the values on the fitted line
units
standard deviation
predicted value
residuals
48. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
trial
data table
normal percentile
tails
49. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
normal percentile
lurking variable
random
variance
50. Displays data that change over time
symmetric
multistage sample
timeplot
prospective study
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