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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 sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
contingency table
normal model
subset
2. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
lurking variable
strength
range
scatterplots
3. The natural tendency of randomly drawn samples to differ
boxplot
ladder of powers
sampling variability
single-blind
4. 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
distribution
dotplot
quantitative variable
simulation
5. A representative subset of a population - examined in hope of learning about the population
sample
sample size
ladder of powers
regression line
6. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
center
changing center and spread
lurking variable
case
7. Sampling schemes that combine several sampling methods
mean
sample
population parameter
multistage sample
8. Value calculated from data to summarize aspects of the data
simple random sample
sample survey
direction
statistic
9. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
simple random sample
prospective study
completely randomized design
intercept
10. A study based on data in which no manipulation of factors has been employed
matched
normal percentile
changing center and spread
observational study
11. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
response bias
single-blind
lurking variable
normal percentile
12. The square root of the variance
observational study
standard deviation
random assignment
matching
13. Consists of the individuals who are conveniently available
voluntary response bias
convenience sample
interquartile range
ladder of powers
14. Graphs a dot for each case against a single axis
slope
dotplot
lurking variable
sampling frame
15. The ____ we care about most is straight
dotplot
form
prospective study
outlier
16. The difference between the lowest and highest values in a data set
completely randomized design
range
median
mode
17. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
response bias
randomization
stratified random sample
categorical variable
18. Individuals on whom an experiment is performed
multistage sample
experimental units
random assignment
marginal distribution
19. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
response variable
principles of experimental design
residuals
area principle
20. In a statistical display - each data value should be represented by the same amount of area
linear model
area principle
range
case
21. A numerical summary of how tightly the values are clustered around the 'center'
pie chart
lurking variable
intercept
spread
22. Found by substituting the x-value in the regression equation; they're the values on the fitted line
prospective study
form
undercoverage
predicted value
23. Anything in a survey design that influences response
area principle
response bias
mean
statistically significant
24. A distribution is this if it's not symmetric and one tail stretches out farther than the other
quartile
sample size
nonresponse bias
skewed
25. When an observed difference is too large for us to believe that is is likely to have occurred naturally
statistically significant
treatment
trial
randomization
26. Summarized with the standard deviation - interquartile range - and range
spread
timeplot
tails
voluntary response bias
27. When omitting a point from the data results in a very different regression model - the point is an ____
residuals
influential point
sampling frame
regression line
28. Distributions with more than two modes
level
multimodal
mean
simulation
29. An equation of the form y-hat = b0 + b1x
statistic
treatment
percentile
linear model
30. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
lurking variable
randomization
simulation
prospective study
31. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
intercept
sample size
5-number summary
re-express data
32. Distributions with two modes
placebo effect
timeplot
bimodal
standard normal model
33. 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
scatterplots
interquartile range
sampling frame
contingency table
34. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
single-blind
sample survey
re-express data
normal probability plot
35. 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
stratified random sample
linear model
leverage
boxplot
36. When either those who could influence or evaluate the results is blinded
randomization
sampling variability
range
single-blind
37. Shows a bar representing the count of each category in a categorical variable
area principle
uniform
bar chart
quartile
38. Bias introduced to a sample when a large fraction of those sampled fails to respond
normal model
sampling variability
nonresponse bias
confounded
39. When both those who could influence and evaluate the results are blinded
undercoverage
prospective study
double-blind
percentile
40. The sum of squared deviations from the mean - divided by the count minus one
trial
variance
intercept
context
41. The best defense against bias - in which each individual is given a fair - random chance of selection
randomization
trial
variance
frequency table
42. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
completely randomized design
uniform
stem-and-leaf display
43. An equation or formula that simplifies and represents reality
model
normal probability plot
statistically significant
census
44. A variable in which the numbers act as numerical values; always has units
random assignment
quantitative variable
outlier
variable
45. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
dotplot
interquartile range
confounded
regression to the mean
46. A distribution that's roughly flat
uniform
population
population parameter
lurking variable
47. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
extrapolation
blinding
independence
unimodal
48. A list of individuals from whom the sample is drawn
shape
outlier
sampling frame
regression line
49. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
response bias
standardizing
tails
conditional distribution
50. 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
placebo
standard normal model
experiment
dotplot