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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. Anything in a survey design that influences response
response bias
frequency table
context
observational study
2. A variable whose levels are controlled by the experimenter
lurking variable
undercoverage
factor
systematic sample
3. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
least squares
frequency table
center
stratified random sample
4. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
parameter
frequency table
control group
treatment
5. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
randomized block
undercoverage
center
dotplot
6. An individual result of a component of a simulation
data
changing center and spread
trial
outcome
7. Found by summing all the data values and dividing by the count
double-blind
mean
single-blind
model
8. 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
lurking variable
direction
pie chart
level
9. When averages are taken across different groups - they can appear to contradict the overall averages
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10. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
tails
z-score
simple random sample
distribution
11. Consists of the individuals who are conveniently available
r2
statistically significant
convenience sample
model
12. Numerically valued attribute of a model
observational study
dotplot
stem-and-leaf display
parameter
13. A numerical summary of how tightly the values are clustered around the 'center'
spread
treatment
nonresponse bias
census
14. When doing this - consider their shape - center - and spread
standardizing
mode
comparing distributions
factor
15. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
least squares
categorical variable
spread
intercept
16. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
subset
leverage
center
17. Systematically recorded information - whether numbers or labels - together with its context
categorical variable
least squares
data
boxplot
18. 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
marginal distribution
systematic sample
slope
skewed
19. Sampling schemes that combine several sampling methods
changing center and spread
multistage sample
blinding
placebo effect
20. When both those who could influence and evaluate the results are blinded
double-blind
block
standard normal model
area principle
21. An event is this if we know what outcomes could happen - but not which particular values will happen
random
stem-and-leaf display
strength
center
22. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
outliers
symmetric
nonresponse bias
linear model
23. A sample drawn by selecting individuals systematically from a sampling frame
systematic sample
randomization
normal probability plot
normal percentile
24. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
outlier
influential point
blinding
uniform
25. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
residuals
parameter
ladder of powers
response bias
26. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
simpson's paradox
intercept
simple random sample
bias
27. An observational study in which subjects are followed to observe future outcomes
statistically significant
standard normal model
residuals
prospective study
28. Extreme values that don't appear to belong with the rest of the data
5-number summary
outliers
distribution
randomization
29. When groups of experimental units are similar - it is a good idea to gather them together into these
block
sample
linear model
blinding
30. An arrangement of data in which each row represents a case and each column represents a variable
simpson's paradox
sample survey
data table
placebo effect
31. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
placebo effect
cluster sample
lurking variable
random numbers
32. A distribution is this if it's not symmetric and one tail stretches out farther than the other
context
simulation
boxplot
skewed
33. Control - randomize - replicate - block
principles of experimental design
subset
68-95-99.7 rule
dotplot
34. When an observed difference is too large for us to believe that is is likely to have occurred naturally
histogram
multistage sample
strength
statistically significant
35. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
bias
rescaling
nonresponse bias
correlation
36. Any attempt to force a sample to resemble specified attributes of the population
matching
sample
data
strength
37. Value found by subtracting the mean and dividing by the standard deviation
stem-and-leaf display
bar chart
predicted value
standardized value
38. The specific values that the experimenter chooses for a factor
convenience sample
level
bias
range
39. Doing this is equivalent to changing its units
normal percentile
strength
bar chart
changing center and spread
40. 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
experiment
census
response bias
outlier
41. A sample that consists of the entire population
factor
5-number summary
data table
census
42. Summarized with the standard deviation - interquartile range - and range
data table
spread
outlier
correlation
43. The distribution of a variable restricting the who to consider only a smaller group of individuals
tails
conditional distribution
regression line
response bias
44. The ith ___ is the number that falls above i% of the data
form
percentile
case
treatment
45. A study based on data in which no manipulation of factors has been employed
placebo effect
regression line
observational study
statistically significant
46. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
changing center and spread
representative
outliers
standard deviation
47. The difference between the first and third quartiles
level
changing center and spread
tails
interquartile range
48. 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
normal percentile
representative
extrapolation
standardizing
49. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
blinding
normal model
intercept
50. 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
placebo
mode
standard deviation
boxplot