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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. The most basic situation in a simulation in which something happens at random
simulation component
marginal distribution
data
observational study
2. Found by substituting the x-value in the regression equation; they're the values on the fitted line
treatment
predicted value
sampling variability
percentile
3. An equation of the form y-hat = b0 + b1x
linear model
multistage sample
variable
regression line
4. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
mode
extrapolation
median
5. All experimental units have an equal chance of receiving any treatment
68-95-99.7 rule
placebo effect
single-blind
completely randomized design
6. Places in order the effects that many re-expressions have on the data
uniform
ladder of powers
conditional distribution
correlation
7. 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
ladder of powers
voluntary response bias
form
simulation
8. Graphs a dot for each case against a single axis
outliers
contingency table
dotplot
pie chart
9. An arrangement of data in which each row represents a case and each column represents a variable
5-number summary
least squares
data table
simple random sample
10. An individual about whom or which we have data
case
observational study
retrospective study
sampling variability
11. 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
variance
stem-and-leaf display
r2
timeplot
12. A representative subset of a population - examined in hope of learning about the population
lurking variable
sample
dotplot
linear model
13. The number of individuals in a sample
experiment
blinding
sample size
ladder of powers
14. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
single-blind
unimodal
distribution
independence
15. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
random numbers
multistage sample
standardized value
response
16. Value found by subtracting the mean and dividing by the standard deviation
stratified random sample
bias
cluster sample
standardized value
17. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
single-blind
unimodal
shape
distribution
18. 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
extrapolation
linear model
standard deviation
quartile
19. A treatment known to have no effect - administered so that all groups experience the same conditions
range
standard normal model
placebo
shifting
20. Shows quantitative data values in a way that sketches the distribution of the data
stem-and-leaf display
prospective study
standardized value
predicted value
21. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
observational study
correlation
mode
outlier
22. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
skewed
lurking variable
distribution
23. Consists of the individuals who are conveniently available
convenience sample
response bias
timeplot
variance
24. 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
independence
spread
distribution
contingency table
25. 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
variance
bias
histogram
blinding
26. Holds information about the same characteristic for many cases
predicted value
variable
regression to the mean
linear model
27. A sample that consists of the entire population
census
sample survey
comparing distributions
residuals
28. Numerically valued attribute of a model
random numbers
level
stem-and-leaf display
parameter
29. Control - randomize - replicate - block
interquartile range
principles of experimental design
center
multistage sample
30. A variable in which the numbers act as numerical values; always has units
experiment
quantitative variable
matching
variance
31. The entire group of individuals or instances about whom we hope to learn
intercept
population
z-score
random assignment
32. When groups of experimental units are similar - it is a good idea to gather them together into these
simulation component
population parameter
block
marginal distribution
33. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
treatment
changing center and spread
cluster sample
dotplot
34. 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
scatterplots
form
leverage
random assignment
35. 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
normal percentile
normal model
slope
subset
36. Gives the possible values of the variable and the frequency or relative frequency of each value
slope
sample size
distribution
normal probability plot
37. The sum of squared deviations from the mean - divided by the count minus one
bias
randomized block
units
variance
38. 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
sample size
outlier
mode
random numbers
39. A distribution that's roughly flat
bias
uniform
representative
strength
40. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
changing center and spread
simulation
normal probability plot
least squares
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
center
treatment
re-express data
undercoverage
42. An observational study in which subjects are followed to observe future outcomes
prospective study
strength
spread
experimental units
43. Values of this record the results of each trial with respect to what we were interested in
5-number summary
interquartile range
response variable
comparing distributions
44. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
marginal distribution
model
contingency table
45. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
retrospective study
outlier
regression line
units
46. When averages are taken across different groups - they can appear to contradict the overall averages
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47. When an observed difference is too large for us to believe that is is likely to have occurred naturally
systematic sample
block
statistically significant
normal percentile
48. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
model
standard normal model
extrapolation
49. The ____ we care about most is straight
sample survey
principles of experimental design
timeplot
form
50. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
quantitative variable
percentile
convenience sample