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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. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
sample size
least squares
block
systematic sample
2. Any attempt to force a sample to resemble specified attributes of the population
data table
outliers
correlation
matching
3. Found by summing all the data values and dividing by the count
cluster sample
mean
percentile
marginal distribution
4. An event is this if we know what outcomes could happen - but not which particular values will happen
histogram
random
principles of experimental design
representative
5. A study based on data in which no manipulation of factors has been employed
observational study
treatment
double-blind
voluntary response bias
6. The difference between the lowest and highest values in a data set
range
contingency table
interquartile range
quartile
7. Displays data that change over time
median
68-95-99.7 rule
timeplot
skewed
8. An equation of the form y-hat = b0 + b1x
least squares
linear model
distribution
random assignment
9. Shows the relationship between two quantitative variables measured on the same cases
extrapolation
scatterplots
normal percentile
quartile
10. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
systematic sample
distribution
bimodal
11. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
retrospective study
standard deviation
simple random sample
experimental units
12. A variable that names categories (whether with words or numerals)
bimodal
range
categorical variable
distribution
13. Value found by subtracting the mean and dividing by the standard deviation
sample
standardized value
random assignment
cluster sample
14. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
prospective study
pie chart
quartile
control group
15. In a statistical display - each data value should be represented by the same amount of area
skewed
correlation
area principle
model
16. A list of individuals from whom the sample is drawn
experimental units
scatterplots
sampling frame
simple random sample
17. Individuals on whom an experiment is performed
experimental units
bar chart
conditional distribution
statistic
18. Bias introduced to a sample when a large fraction of those sampled fails to respond
slope
factor
nonresponse bias
outcome
19. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
confounded
independence
experimental units
20. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
placebo effect
model
nonresponse bias
shape
21. The ____ we care about most is straight
response bias
symmetric
form
sampling variability
22. When groups of experimental units are similar - it is a good idea to gather them together into these
block
completely randomized design
experimental units
population parameter
23. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
placebo effect
normal model
simpson's paradox
treatment
24. A treatment known to have no effect - administered so that all groups experience the same conditions
single-blind
systematic sample
blinding
placebo
25. Gives the possible values of the variable and the relative frequency of each value
distribution
percentile
frequency table
unimodal
26. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
standard normal model
block
convenience sample
bias
27. When averages are taken across different groups - they can appear to contradict the overall averages
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28. Control - randomize - replicate - block
principles of experimental design
placebo
treatment
categorical variable
29. Extreme values that don't appear to belong with the rest of the data
census
quartile
sample size
outliers
30. When doing this - consider their shape - center - and spread
response
extrapolation
multistage sample
comparing distributions
31. An observational study in which subjects are followed to observe future outcomes
single-blind
regression to the mean
mean
prospective study
32. The middle value with half of the data above and half below it
nonresponse bias
median
ladder of powers
standard deviation
33. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
sampling frame
lurking variable
nonresponse bias
blinding
34. An arrangement of data in which each row represents a case and each column represents a variable
categorical variable
data table
influential point
regression line
35. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
response
control group
representative
prospective study
36. Holds information about the same characteristic for many cases
regression line
variable
sample
form
37. When either those who could influence or evaluate the results is blinded
single-blind
data
r2
boxplot
38. 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
symmetric
blinding
cluster sample
39. A numerical measure of the direction and strength of a linear association
placebo
distribution
symmetric
correlation
40. The difference between the first and third quartiles
interquartile range
treatment
lurking variable
sample
41. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
population parameter
standardizing
statistically significant
standard deviation
42. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed
normal probability plot
dotplot
boxplot
mode
43. A numerically valued attribute of a model for a population
marginal distribution
population parameter
68-95-99.7 rule
systematic sample
44. Design Randomization occurring within blocks
randomized block
statistic
cluster sample
experimental units
45. 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
normal probability plot
mean
experiment
block
46. The most basic situation in a simulation in which something happens at random
simulation component
residuals
variance
randomization
47. Graphs a dot for each case against a single axis
dotplot
sampling frame
shape
standardizing
48. Sampling schemes that combine several sampling methods
placebo
normal probability plot
multistage sample
outlier
49. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
outlier
direction
multimodal
predicted value
50. An individual result of a component of a simulation
distribution
outcome
normal probability plot
regression to the mean