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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. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
lurking variable
r2
principles of experimental design
percentile
2. 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
context
random numbers
strength
mode
3. The difference between the first and third quartiles
dotplot
parameter
interquartile range
changing center and spread
4. Found by summing all the data values and dividing by the count
retrospective study
population parameter
normal model
mean
5. 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
re-express data
direction
bimodal
subset
6. 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
quantitative variable
slope
mode
context
7. Systematically recorded information - whether numbers or labels - together with its context
retrospective study
data
standard deviation
r2
8. 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
data
stratified random sample
68-95-99.7 rule
form
9. The sequence of several components representing events that we are pretending will take place
treatment
trial
observational study
scatterplots
10. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
area principle
bias
simpson's paradox
regression line
11. Distributions with two modes
bimodal
slope
observational study
rescaling
12. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
standardized value
randomized block
lurking variable
13. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
randomization
shifting
marginal distribution
14. The sum of squared deviations from the mean - divided by the count minus one
variance
skewed
interquartile range
case
15. A variable whose levels are controlled by the experimenter
spread
multistage sample
response variable
factor
16. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
single-blind
retrospective study
matched
68-95-99.7 rule
17. 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
simpson's paradox
context
control group
retrospective study
18. The natural tendency of randomly drawn samples to differ
sampling variability
changing center and spread
parameter
normal model
19. Places in order the effects that many re-expressions have on the data
pie chart
ladder of powers
randomized block
shape
20. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
random
treatment
regression to the mean
median
21. When averages are taken across different groups - they can appear to contradict the overall averages
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22. Individuals on whom an experiment is performed
experimental units
linear model
factor
least squares
23. 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
simulation
experiment
timeplot
uniform
24. Summarized with the mean or the median
response
normal model
population parameter
center
25. Bias introduced to a sample when a large fraction of those sampled fails to respond
z-score
response bias
nonresponse bias
statistic
26. Displays data that change over time
timeplot
standardizing
double-blind
rescaling
27. A normal model with a mean of 0 and a standard deviation of 1
residuals
standard normal model
extrapolation
tails
28. The most basic situation in a simulation in which something happens at random
residuals
data table
simulation component
area principle
29. Doing this is equivalent to changing its units
standardizing
simpson's paradox
sampling variability
changing center and spread
30. Sampling schemes that combine several sampling methods
multistage sample
outcome
correlation
direction
31. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
randomization
intercept
form
changing center and spread
32. 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
sample survey
experiment
boxplot
marginal distribution
33. Consists of the individuals who are conveniently available
data
convenience sample
random
direction
34. An equation or formula that simplifies and represents reality
outlier
lurking variable
form
model
35. An equation of the form y-hat = b0 + b1x
skewed
outlier
linear model
statistic
36. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
random assignment
ladder of powers
placebo effect
68-95-99.7 rule
37. The number of individuals in a sample
sample size
sample survey
data
changing center and spread
38. Summarized with the standard deviation - interquartile range - and range
completely randomized design
spread
cluster sample
statistic
39. A sample drawn by selecting individuals systematically from a sampling frame
systematic sample
standard normal model
shape
conditional distribution
40. The entire group of individuals or instances about whom we hope to learn
undercoverage
placebo
area principle
population
41. The distribution of a variable restricting the who to consider only a smaller group of individuals
cluster sample
regression to the mean
conditional distribution
linear model
42. A distribution that's roughly flat
uniform
outliers
observational study
completely randomized design
43. When either those who could influence or evaluate the results is blinded
data
matched
form
single-blind
44. A variable whose values are compared across different treatments
regression to the mean
response
distribution
case
45. The difference between the lowest and highest values in a data set
bar chart
placebo effect
5-number summary
range
46. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
standardized value
symmetric
variance
histogram
47. 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
marginal distribution
unimodal
leverage
symmetric
48. When groups of experimental units are similar - it is a good idea to gather them together into these
response variable
mean
block
intercept
49. Any attempt to force a sample to resemble specified attributes of the population
double-blind
standardizing
cluster sample
matching
50. A sample that consists of the entire population
uniform
census
regression to the mean
lurking variable