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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. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
pie chart
boxplot
regression line
completely randomized design
2. A variable whose levels are controlled by the experimenter
factor
standardizing
outlier
representative
3. A numerical summary of how tightly the values are clustered around the 'center'
single-blind
double-blind
prospective study
spread
4. When averages are taken across different groups - they can appear to contradict the overall averages
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5. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
distribution
census
random numbers
extrapolation
6. The square root of the variance
68-95-99.7 rule
factor
sampling variability
standard deviation
7. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
conditional distribution
shape
statistic
standardized value
8. A sample drawn by selecting individuals systematically from a sampling frame
boxplot
skewed
placebo effect
systematic sample
9. 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
simulation
bimodal
census
comparing distributions
10. Numerically valued attribute of a model
simpson's paradox
random assignment
intercept
parameter
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
treatment
sample
sampling variability
12. All experimental units have an equal chance of receiving any treatment
categorical variable
model
completely randomized design
distribution
13. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
normal model
extrapolation
observational study
regression line
14. A variable whose values are compared across different treatments
response
multistage sample
center
influential point
15. The difference between the lowest and highest values in a data set
range
population
r2
model
16. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bar chart
bias
variance
model
17. A numerically valued attribute of a model for a population
unimodal
population parameter
systematic sample
skewed
18. A study based on data in which no manipulation of factors has been employed
data
double-blind
observational study
sampling frame
19. The number of individuals in a sample
sample size
sampling variability
blinding
simulation
20. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
units
standard normal model
completely randomized design
nonresponse bias
21. When groups of experimental units are similar - it is a good idea to gather them together into these
symmetric
bar chart
parameter
block
22. When an observed difference is too large for us to believe that is is likely to have occurred naturally
strength
confounded
statistically significant
statistic
23. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
random assignment
normal model
stratified random sample
placebo effect
24. 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
matched
subset
spread
interquartile range
25. When either those who could influence or evaluate the results is blinded
random
changing center and spread
single-blind
multimodal
26. Found by summing all the data values and dividing by the count
bar chart
representative
scatterplots
mean
27. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
conditional distribution
normal probability plot
bar chart
28. The specific values that the experimenter chooses for a factor
mode
level
residuals
center
29. 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
units
intercept
r2
skewed
30. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
sampling frame
center
intercept
interquartile range
31. A numerical measure of the direction and strength of a linear association
correlation
quantitative variable
units
tails
32. 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
68-95-99.7 rule
re-express data
standard normal model
shifting
33. 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
systematic sample
matched
extrapolation
variable
34. The ith ___ is the number that falls above i% of the data
convenience sample
outliers
percentile
block
35. A representative subset of a population - examined in hope of learning about the population
level
regression to the mean
frequency table
sample
36. 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
voluntary response bias
direction
context
slope
37. An arrangement of data in which each row represents a case and each column represents a variable
contingency table
residuals
conditional distribution
data table
38. Sampling schemes that combine several sampling methods
multistage sample
random numbers
regression to the mean
representative
39. An equation or formula that simplifies and represents reality
lurking variable
stem-and-leaf display
simulation component
model
40. Consists of the individuals who are conveniently available
quantitative variable
convenience sample
bimodal
strength
41. Extreme values that don't appear to belong with the rest of the data
scatterplots
representative
outliers
trial
42. Graphs a dot for each case against a single axis
randomization
dotplot
principles of experimental design
bias
43. Anything in a survey design that influences response
statistic
completely randomized design
range
response bias
44. An event is this if we know what outcomes could happen - but not which particular values will happen
random
lurking variable
form
outcome
45. Holds information about the same characteristic for many cases
linear model
prospective study
center
variable
46. Useful family of models for unimodal - symmetric distributions
quantitative variable
sampling frame
variance
normal model
47. A variable in which the numbers act as numerical values; always has units
median
simpson's paradox
outlier
quantitative variable
48. The natural tendency of randomly drawn samples to differ
r2
re-express data
sampling variability
outcome
49. The most basic situation in a simulation in which something happens at random
normal model
simulation component
response variable
multistage sample
50. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
shape
multimodal
experimental units
standardizing