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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. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
stratified random sample
median
center
z-score
2. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
intercept
marginal distribution
sample survey
comparing distributions
3. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
boxplot
mode
normal probability plot
symmetric
4. The difference between the first and third quartiles
treatment
spread
interquartile range
normal model
5. Value calculated from data to summarize aspects of the data
distribution
statistic
5-number summary
standardizing
6. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
standardizing
boxplot
least squares
principles of experimental design
7. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
double-blind
5-number summary
sampling frame
categorical variable
8. Found by summing all the data values and dividing by the count
mean
sampling variability
correlation
symmetric
9. A sampling design in which entire groups are chosen at random
factor
single-blind
cluster sample
strength
10. The sequence of several components representing events that we are pretending will take place
subset
trial
control group
standardizing
11. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
completely randomized design
normal percentile
re-express data
subset
12. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
stratified random sample
treatment
median
bias
13. 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
simpson's paradox
influential point
marginal distribution
simple random sample
14. An arrangement of data in which each row represents a case and each column represents a variable
extrapolation
multistage sample
tails
data table
15. 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
dotplot
boxplot
direction
simulation
16. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
response bias
dotplot
comparing distributions
17. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
changing center and spread
extrapolation
trial
center
18. Displays data that change over time
stem-and-leaf display
quantitative variable
timeplot
simple random sample
19. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
re-express data
simulation component
blinding
spread
20. In a statistical display - each data value should be represented by the same amount of area
area principle
sampling variability
bar chart
multistage sample
21. The middle value with half of the data above and half below it
variance
control group
median
matching
22. Distributions with more than two modes
multimodal
unimodal
case
regression to the mean
23. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
intercept
sample
representative
rescaling
24. Bias introduced to a sample when a large fraction of those sampled fails to respond
r2
simulation component
nonresponse bias
sampling frame
25. When omitting a point from the data results in a very different regression model - the point is an ____
stem-and-leaf display
response bias
influential point
center
26. Anything in a survey design that influences response
stratified random sample
response bias
outliers
r2
27. 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
variance
mode
sample
slope
28. When averages are taken across different groups - they can appear to contradict the overall averages
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29. The sum of squared deviations from the mean - divided by the count minus one
response
contingency table
variance
level
30. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
double-blind
independence
distribution
center
31. Useful family of models for unimodal - symmetric distributions
voluntary response bias
independence
normal model
response
32. Any attempt to force a sample to resemble specified attributes of the population
case
matching
simulation component
regression line
33. All experimental units have an equal chance of receiving any treatment
completely randomized design
standardizing
center
area principle
34. An individual result of a component of a simulation
stem-and-leaf display
single-blind
linear model
outcome
35. The ____ we care about most is straight
undercoverage
form
simulation component
changing center and spread
36. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
predicted value
data table
median
standardizing
37. 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
census
shape
direction
center
38. When both those who could influence and evaluate the results are blinded
treatment
double-blind
block
experimental units
39. 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
standardized value
spread
symmetric
40. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
strength
standard deviation
simple random sample
units
41. 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
response
sample size
voluntary response bias
experiment
42. The difference between the lowest and highest values in a data set
spread
range
strength
control group
43. Summarized with the mean or the median
center
predicted value
principles of experimental design
response
44. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
5-number summary
symmetric
multistage sample
45. A representative subset of a population - examined in hope of learning about the population
skewed
slope
conditional distribution
sample
46. An event is this if we know what outcomes could happen - but not which particular values will happen
sample
form
trial
random
47. Places in order the effects that many re-expressions have on the data
spread
distribution
ladder of powers
random
48. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
lurking variable
outcome
systematic sample
response variable
49. When either those who could influence or evaluate the results is blinded
uniform
single-blind
scatterplots
undercoverage
50. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
outlier
regression line
intercept
re-express data