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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. Values of this record the results of each trial with respect to what we were interested in
response variable
subset
representative
leverage
2. When averages are taken across different groups - they can appear to contradict the overall averages
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3. The specific values that the experimenter chooses for a factor
principles of experimental design
68-95-99.7 rule
5-number summary
level
4. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
sample
outlier
correlation
stratified random sample
5. A study based on data in which no manipulation of factors has been employed
mode
observational study
bias
simpson's paradox
6. A variable in which the numbers act as numerical values; always has units
quantitative variable
independence
residuals
retrospective study
7. An individual result of a component of a simulation
regression to the mean
outcome
variable
pie chart
8. An individual about whom or which we have data
case
double-blind
tails
standardizing
9. Gives the possible values of the variable and the relative frequency of each value
center
confounded
distribution
representative
10. When groups of experimental units are similar - it is a good idea to gather them together into these
block
outlier
data
principles of experimental design
11. 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
response bias
marginal distribution
rescaling
outlier
12. Shows the relationship between two quantitative variables measured on the same cases
scatterplots
context
simple random sample
random numbers
13. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
factor
cluster sample
sample survey
nonresponse bias
14. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
confounded
regression line
5-number summary
case
15. A sampling design in which entire groups are chosen at random
cluster sample
normal percentile
outcome
regression line
16. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
median
standardized value
timeplot
symmetric
17. Doing this is equivalent to changing its units
changing center and spread
retrospective study
range
spread
18. The sum of squared deviations from the mean - divided by the count minus one
control group
boxplot
lurking variable
variance
19. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
data table
normal probability plot
retrospective study
placebo effect
20. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
outlier
ladder of powers
data table
21. A numerically valued attribute of a model for a population
case
re-express data
symmetric
population parameter
22. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR
least squares
observational study
shifting
simulation
23. 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
normal probability plot
influential point
center
simpson's paradox
24. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
spread
center
undercoverage
parameter
25. Numerically valued attribute of a model
comparing distributions
parameter
area principle
sampling variability
26. A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population
census
blinding
case
undercoverage
27. 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
predicted value
r2
mode
normal probability plot
28. Summarized with the standard deviation - interquartile range - and range
spread
normal probability plot
case
cluster sample
29. The difference between the first and third quartiles
outlier
shifting
interquartile range
simulation
30. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
treatment
block
z-score
normal percentile
31. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
histogram
distribution
area principle
simple random sample
32. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
shape
center
factor
unimodal
33. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
residuals
shape
multistage sample
34. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
units
population
statistically significant
placebo
35. A sample drawn by selecting individuals systematically from a sampling frame
linear model
systematic sample
matched
randomized block
36. The sequence of several components representing events that we are pretending will take place
correlation
predicted value
form
trial
37. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
mode
block
outlier
38. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
shape
dotplot
ladder of powers
39. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
representative
distribution
bimodal
40. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
response
normal model
pie chart
center
41. A distribution is this if it's not symmetric and one tail stretches out farther than the other
extrapolation
skewed
variance
population parameter
42. Summarized with the mean or the median
random
center
placebo effect
stem-and-leaf display
43. The number of individuals in a sample
normal percentile
sample size
percentile
extrapolation
44. All experimental units have an equal chance of receiving any treatment
predicted value
completely randomized design
frequency table
prospective study
45. 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
categorical variable
experiment
influential point
voluntary response bias
46. 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
randomization
form
leverage
boxplot
47. Sampling schemes that combine several sampling methods
multistage sample
distribution
matched
skewed
48. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
outlier
marginal distribution
extrapolation
histogram
49. Useful family of models for unimodal - symmetric distributions
shape
area principle
normal model
statistic
50. 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
variable
slope
quantitative variable
parameter