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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. 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
outlier
bias
simulation
statistically significant
2. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
convenience sample
outlier
units
placebo effect
3. An individual about whom or which we have data
retrospective study
experimental units
unimodal
case
4. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
sample
standard deviation
unimodal
5. 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
data table
simulation
range
experiment
6. Gives the possible values of the variable and the relative frequency of each value
mode
blinding
distribution
tails
7. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
placebo
intercept
representative
slope
8. Extreme values that don't appear to belong with the rest of the data
double-blind
histogram
outliers
completely randomized design
9. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
variance
quartile
least squares
timeplot
10. The natural tendency of randomly drawn samples to differ
sampling variability
dotplot
sample
model
11. The difference between the lowest and highest values in a data set
principles of experimental design
least squares
interquartile range
range
12. Places in order the effects that many re-expressions have on the data
random assignment
correlation
quantitative variable
ladder of powers
13. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
timeplot
bias
control group
pie chart
14. 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
ladder of powers
data
level
normal probability plot
15. A study based on data in which no manipulation of factors has been employed
simple random sample
observational study
sample survey
sample
16. An arrangement of data in which each row represents a case and each column represents a variable
skewed
slope
scatterplots
data table
17. Distributions with more than two modes
outliers
multimodal
standard deviation
matching
18. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
convenience sample
z-score
stratified random sample
extrapolation
19. A numerically valued attribute of a model for a population
lurking variable
quantitative variable
population parameter
normal probability plot
20. Shows the relationship between two quantitative variables measured on the same cases
quartile
histogram
scatterplots
stem-and-leaf display
21. 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
r2
voluntary response bias
random
normal percentile
22. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
treatment
bimodal
randomization
placebo effect
23. An event is this if we know what outcomes could happen - but not which particular values will happen
outliers
tails
area principle
random
24. Systematically recorded information - whether numbers or labels - together with its context
data
stem-and-leaf display
boxplot
randomization
25. 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
sampling frame
standard deviation
undercoverage
contingency table
26. 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
bimodal
normal percentile
matched
subset
27. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
convenience sample
tails
placebo effect
predicted value
28. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
confounded
population
voluntary response bias
sample size
29. The distribution of a variable restricting the who to consider only a smaller group of individuals
sample
statistically significant
conditional distribution
response
30. An equation or formula that simplifies and represents reality
least squares
correlation
conditional distribution
model
31. Control - randomize - replicate - block
bimodal
ladder of powers
intercept
principles of experimental design
32. Consists of the individuals who are conveniently available
systematic sample
regression line
scatterplots
convenience sample
33. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
quartile
context
rescaling
mean
34. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
random numbers
lurking variable
population parameter
response
35. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
regression to the mean
skewed
area principle
normal percentile
36. When either those who could influence or evaluate the results is blinded
single-blind
standardizing
data table
population parameter
37. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
randomized block
timeplot
voluntary response bias
38. A numerical summary of how tightly the values are clustered around the 'center'
rescaling
correlation
completely randomized design
spread
39. A variable in which the numbers act as numerical values; always has units
quantitative variable
simpson's paradox
principles of experimental design
statistic
40. An equation of the form y-hat = b0 + b1x
principles of experimental design
linear model
least squares
comparing distributions
41. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
linear model
ladder of powers
boxplot
rescaling
42. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
center
center
quantitative variable
retrospective study
43. A variable whose values are compared across different treatments
simulation
response
convenience sample
placebo
44. An individual result of a component of a simulation
outcome
treatment
blinding
random numbers
45. When both those who could influence and evaluate the results are blinded
spread
observational study
double-blind
sampling variability
46. Bias introduced to a sample when a large fraction of those sampled fails to respond
sample size
standardized value
nonresponse bias
contingency table
47. The best defense against bias - in which each individual is given a fair - random chance of selection
rescaling
randomization
matching
shape
48. When groups of experimental units are similar - it is a good idea to gather them together into these
representative
block
comparing distributions
bimodal
49. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
treatment
interquartile range
units
unimodal
50. Individuals on whom an experiment is performed
comparing distributions
experimental units
outlier
center