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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. Control - randomize - replicate - block
multistage sample
population
context
principles of experimental design
2. 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
convenience sample
independence
normal probability plot
regression line
3. The best defense against bias - in which each individual is given a fair - random chance of selection
percentile
randomization
skewed
sample
4. A variable in which the numbers act as numerical values; always has units
unimodal
simple random sample
quantitative variable
single-blind
5. Summarized with the mean or the median
stratified random sample
conditional distribution
center
parameter
6. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
principles of experimental design
center
bias
symmetric
7. An observational study in which subjects are followed to observe future outcomes
matching
area principle
contingency table
prospective study
8. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
symmetric
retrospective study
normal model
simulation component
9. 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
nonresponse bias
response
10. Extreme values that don't appear to belong with the rest of the data
outliers
standard normal model
pie chart
conditional distribution
11. A sample that consists of the entire population
pie chart
voluntary response bias
census
context
12. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
cluster sample
outcome
rescaling
shape
13. Places in order the effects that many re-expressions have on the data
population
ladder of powers
standardizing
center
14. A study based on data in which no manipulation of factors has been employed
5-number summary
observational study
spread
stem-and-leaf display
15. An arrangement of data in which each row represents a case and each column represents a variable
area principle
ladder of powers
stratified random sample
data table
16. Distributions with two modes
spread
bimodal
leverage
multistage sample
17. An individual about whom or which we have data
regression line
case
changing center and spread
simulation component
18. 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
mean
cluster sample
percentile
leverage
19. Anything in a survey design that influences response
correlation
response bias
retrospective study
z-score
20. In a statistical display - each data value should be represented by the same amount of area
response bias
multimodal
area principle
r2
21. The difference between the lowest and highest values in a data set
sample survey
interquartile range
single-blind
range
22. A variable whose values are compared across different treatments
bimodal
normal percentile
response
leverage
23. 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
observational study
systematic sample
68-95-99.7 rule
marginal distribution
24. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
placebo
conditional distribution
range
lurking variable
25. 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
direction
interquartile range
sample
data
26. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
data table
sample size
slope
27. A variable that names categories (whether with words or numerals)
random
variance
principles of experimental design
categorical variable
28. 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
simulation
observational study
quartile
blinding
29. Bias introduced to a sample when a large fraction of those sampled fails to respond
random numbers
randomized block
systematic sample
nonresponse bias
30. The ____ we care about most is straight
model
form
simple random sample
statistic
31. The sequence of several components representing events that we are pretending will take place
blinding
correlation
trial
data table
32. Found by summing all the data values and dividing by the count
prospective study
quartile
mean
ladder of powers
33. Shows a bar representing the count of each category in a categorical variable
control group
sample
bar chart
residuals
34. A representative subset of a population - examined in hope of learning about the population
sample
response bias
skewed
single-blind
35. Shows the relationship between two quantitative variables measured on the same cases
random
systematic sample
scatterplots
shifting
36. 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
single-blind
data
timeplot
matched
37. To be valid - an experiment must assign experimental units to treatment groups at random
confounded
trial
principles of experimental design
random assignment
38. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
parameter
bimodal
5-number summary
ladder of powers
39. A numerical summary of how tightly the values are clustered around the 'center'
spread
matching
mode
retrospective study
40. Displays data that change over time
timeplot
census
rescaling
response bias
41. 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
convenience sample
extrapolation
subset
units
42. A treatment known to have no effect - administered so that all groups experience the same conditions
convenience sample
predicted value
placebo
standardized value
43. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
boxplot
changing center and spread
mode
unimodal
44. 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
standard deviation
normal model
slope
single-blind
45. A normal model with a mean of 0 and a standard deviation of 1
frequency table
census
histogram
standard normal model
46. 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
distribution
shifting
response bias
undercoverage
47. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
subset
random numbers
randomization
quartile
48. 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
unimodal
standard deviation
statistic
49. Holds information about the same characteristic for many cases
outliers
spread
response
variable
50. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
multimodal
re-express data
shape
multistage sample