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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 scatterplot shows an association that is this if there is little scatter around the underlying relationship
dotplot
strength
variance
predicted value
2. Anything in a survey design that influences response
boxplot
statistically significant
response bias
z-score
3. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
linear model
ladder of powers
standard deviation
z-score
4. When omitting a point from the data results in a very different regression model - the point is an ____
predicted value
influential point
median
census
5. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed
context
response bias
retrospective study
standard normal model
6. A sample that consists of the entire population
random assignment
model
strength
census
7. Summarized with the standard deviation - interquartile range - and range
mean
spread
random numbers
stem-and-leaf display
8. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
data table
outlier
control group
single-blind
9. Bias introduced to a sample when a large fraction of those sampled fails to respond
comparing distributions
control group
nonresponse bias
changing center and spread
10. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
simple random sample
parameter
center
undercoverage
11. The ____ we care about most is straight
form
linear model
confounded
histogram
12. The middle value with half of the data above and half below it
nonresponse bias
bimodal
conditional distribution
median
13. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
center
outlier
shape
range
14. When averages are taken across different groups - they can appear to contradict the overall averages
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15. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
simulation
population parameter
block
16. Shows quantitative data values in a way that sketches the distribution of the data
completely randomized design
response bias
stem-and-leaf display
pie chart
17. The best defense against bias - in which each individual is given a fair - random chance of selection
undercoverage
extrapolation
randomization
block
18. Value calculated from data to summarize aspects of the data
statistic
residuals
retrospective study
level
19. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
variance
experiment
pie chart
random numbers
20. Summarized with the mean or the median
pie chart
center
simulation
retrospective study
21. 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
68-95-99.7 rule
distribution
5-number summary
direction
22. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
extrapolation
shape
tails
23. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
simpson's paradox
lurking variable
standardized value
subset
24. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
quantitative variable
normal percentile
completely randomized design
unimodal
25. 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
leverage
marginal distribution
sample size
factor
26. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
population parameter
random
comparing distributions
retrospective study
27. 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
sample
standardizing
control group
28. A numerically valued attribute of a model for a population
5-number summary
center
population parameter
convenience sample
29. Numerically valued attribute of a model
correlation
random numbers
residuals
parameter
30. Displays data that change over time
parameter
timeplot
double-blind
marginal distribution
31. A numerical summary of how tightly the values are clustered around the 'center'
normal model
spread
area principle
randomization
32. 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
subset
conditional distribution
spread
slope
33. The ith ___ is the number that falls above i% of the data
normal probability plot
percentile
influential point
strength
34. An arrangement of data in which each row represents a case and each column represents a variable
data table
regression to the mean
rescaling
simple random sample
35. Shows a bar representing the count of each category in a categorical variable
68-95-99.7 rule
bias
bar chart
spread
36. In a statistical display - each data value should be represented by the same amount of area
block
area principle
convenience sample
lurking variable
37. A variable in which the numbers act as numerical values; always has units
extrapolation
quantitative variable
percentile
spread
38. Sampling schemes that combine several sampling methods
5-number summary
median
multistage sample
re-express data
39. Individuals on whom an experiment is performed
simpson's paradox
random assignment
rescaling
experimental units
40. The number of individuals in a sample
sample size
unimodal
experiment
standard deviation
41. A sample drawn by selecting individuals systematically from a sampling frame
sample survey
population parameter
multimodal
systematic sample
42. The entire group of individuals or instances about whom we hope to learn
population
slope
factor
response variable
43. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
simple random sample
stratified random sample
residuals
blinding
44. A variable whose values are compared across different treatments
histogram
response
percentile
simple random sample
45. A treatment known to have no effect - administered so that all groups experience the same conditions
random assignment
placebo
standard deviation
completely randomized design
46. Value found by subtracting the mean and dividing by the standard deviation
response
normal percentile
changing center and spread
standardized value
47. A variable that names categories (whether with words or numerals)
categorical variable
confounded
single-blind
sample size
48. Design Randomization occurring within blocks
randomized block
strength
stratified random sample
interquartile range
49. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
residuals
standardizing
stem-and-leaf display
simulation component
50. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
percentile
matched
mean
bias