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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. In a statistical display - each data value should be represented by the same amount of area
skewed
data
area principle
median
2. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted
simpson's paradox
spread
extrapolation
random assignment
3. Doing this is equivalent to changing its units
changing center and spread
experiment
observational study
population parameter
4. Shows a bar representing the count of each category in a categorical variable
unimodal
bar chart
parameter
experiment
5. An event is this if we know what outcomes could happen - but not which particular values will happen
cluster sample
shape
uniform
random
6. When both those who could influence and evaluate the results are blinded
standard normal model
unimodal
random assignment
double-blind
7. Values of this record the results of each trial with respect to what we were interested in
outlier
leverage
response variable
multistage sample
8. The sequence of several components representing events that we are pretending will take place
normal model
trial
area principle
sample survey
9. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
response
variable
sample survey
regression to the mean
10. The ____ we care about most is straight
sample
completely randomized design
form
tails
11. 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
contingency table
z-score
direction
sample survey
12. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
pie chart
lurking variable
response
form
13. 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
data
uniform
matched
variable
14. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
random assignment
center
population parameter
standardizing
15. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
experiment
uniform
center
16. The entire group of individuals or instances about whom we hope to learn
mode
intercept
population
contingency table
17. Gives the possible values of the variable and the frequency or relative frequency of each value
distribution
residuals
normal percentile
blinding
18. Control - randomize - replicate - block
principles of experimental design
form
mean
retrospective study
19. 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
rescaling
units
normal probability plot
simple random sample
20. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
strength
least squares
mean
z-score
21. When averages are taken across different groups - they can appear to contradict the overall averages
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22. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data
subset
variance
rescaling
linear model
23. The difference between the lowest and highest values in a data set
distribution
sampling frame
randomization
range
24. 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
skewed
histogram
matched
sampling frame
25. Holds information about the same characteristic for many cases
predicted value
units
block
variable
26. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
model
lurking variable
z-score
sample
27. Consists of the individuals who are conveniently available
convenience sample
voluntary response bias
block
random assignment
28. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
multimodal
outlier
block
29. A variable in which the numbers act as numerical values; always has units
bar chart
stem-and-leaf display
quantitative variable
normal percentile
30. Value calculated from data to summarize aspects of the data
statistically significant
influential point
slope
statistic
31. A study based on data in which no manipulation of factors has been employed
observational study
sampling variability
standardized value
population
32. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
quartile
symmetric
matching
multimodal
33. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
pie chart
model
undercoverage
scatterplots
34. All experimental units have an equal chance of receiving any treatment
mean
completely randomized design
regression to the mean
correlation
35. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
statistically significant
response bias
uniform
representative
36. Summarized with the mean or the median
mean
rescaling
placebo
center
37. 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
quartile
case
standardized value
contingency table
38. 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
block
68-95-99.7 rule
contingency table
39. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
scatterplots
lurking variable
random
40. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
outlier
simpson's paradox
variance
41. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
lurking variable
influential point
uniform
unimodal
42. Any attempt to force a sample to resemble specified attributes of the population
scatterplots
rescaling
unimodal
matching
43. Individuals on whom an experiment is performed
comparing distributions
distribution
control group
experimental units
44. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
treatment
random
simulation
outcome
45. The natural tendency of randomly drawn samples to differ
experiment
68-95-99.7 rule
sampling variability
timeplot
46. A list of individuals from whom the sample is drawn
sampling frame
timeplot
influential point
sampling variability
47. A point that does not fit the overall pattern seen in the scatterplot
regression line
convenience sample
outlier
spread
48. 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
block
mode
standard deviation
experiment
49. When groups of experimental units are similar - it is a good idea to gather them together into these
block
response
mean
dotplot
50. Sampling schemes that combine several sampling methods
z-score
linear model
multistage sample
multimodal