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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. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
statistic
sample survey
bimodal
2. Places in order the effects that many re-expressions have on the data
experiment
percentile
ladder of powers
lurking variable
3. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed
blinding
context
intercept
symmetric
4. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
shape
normal probability plot
double-blind
boxplot
5. In a statistical display - each data value should be represented by the same amount of area
nonresponse bias
population
outlier
area principle
6. An observational study in which subjects are followed to observe future outcomes
standard normal model
variable
percentile
prospective study
7. A sample that consists of the entire population
linear model
census
boxplot
range
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
timeplot
outlier
units
normal probability plot
9. An arrangement of data in which each row represents a case and each column represents a variable
data table
placebo effect
random
principles of experimental design
10. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
randomization
units
normal probability plot
outliers
11. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
matched
least squares
population
regression to the mean
12. Individuals on whom an experiment is performed
sample
dotplot
experimental units
factor
13. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
residuals
standardized value
undercoverage
lurking variable
14. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
confounded
interquartile range
normal model
bias
15. Displays data that change over time
outlier
stratified random sample
timeplot
double-blind
16. A numerical measure of the direction and strength of a linear association
correlation
nonresponse bias
sampling variability
simulation component
17. Found by summing all the data values and dividing by the count
mean
dotplot
unimodal
residuals
18. Control - randomize - replicate - block
units
randomization
principles of experimental design
factor
19. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
blinding
extrapolation
normal model
placebo effect
20. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
confounded
regression to the mean
standardized value
outliers
21. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
rescaling
standardizing
level
re-express data
22. The distribution of a variable restricting the who to consider only a smaller group of individuals
control group
conditional distribution
representative
least squares
23. A numerical summary of how tightly the values are clustered around the 'center'
predicted value
units
convenience sample
spread
24. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
quartile
unimodal
outcome
spread
25. An individual result of a component of a simulation
response bias
outcome
randomization
multistage sample
26. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
population parameter
statistic
symmetric
regression line
27. A representative subset of a population - examined in hope of learning about the population
sampling frame
pie chart
sample
center
28. The middle value with half of the data above and half below it
statistic
median
boxplot
experimental units
29. When either those who could influence or evaluate the results is blinded
quantitative variable
z-score
single-blind
histogram
30. Gives the possible values of the variable and the relative frequency of each value
representative
5-number summary
distribution
random assignment
31. Consists of the individuals who are conveniently available
convenience sample
standardizing
simple random sample
experiment
32. 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
block
multistage sample
slope
variance
33. A sample drawn by selecting individuals systematically from a sampling frame
categorical variable
symmetric
systematic sample
treatment
34. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
sample survey
sampling variability
residuals
simulation component
35. Anything in a survey design that influences response
context
response bias
range
sample survey
36. A variable that names categories (whether with words or numerals)
ladder of powers
categorical variable
matching
quantitative variable
37. Any attempt to force a sample to resemble specified attributes of the population
multistage sample
timeplot
matching
random
38. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
rescaling
double-blind
statistic
39. When doing this - consider their shape - center - and spread
simpson's paradox
stratified random sample
comparing distributions
histogram
40. Extreme values that don't appear to belong with the rest of the data
outliers
range
histogram
center
41. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
frequency table
randomized block
parameter
simulation
42. A point that does not fit the overall pattern seen in the scatterplot
experimental units
sample survey
outlier
double-blind
43. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
stratified random sample
shape
timeplot
subset
44. 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
re-express data
undercoverage
subset
lurking variable
45. 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
lurking variable
simulation
conditional distribution
parameter
46. 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
influential point
matched
completely randomized design
median
47. Design Randomization occurring within blocks
slope
randomized block
statistically significant
subset
48. When omitting a point from the data results in a very different regression model - the point is an ____
leverage
influential point
prospective study
frequency table
49. A distribution that's roughly flat
uniform
rescaling
independence
experiment
50. 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
cluster sample
boxplot
census