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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. Values of this record the results of each trial with respect to what we were interested in
context
response variable
variance
uniform
2. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
retrospective study
independence
tails
outlier
3. An event is this if we know what outcomes could happen - but not which particular values will happen
retrospective study
random
spread
outcome
4. Holds information about the same characteristic for many cases
blinding
data table
variable
sampling frame
5. Sampling schemes that combine several sampling methods
multistage sample
completely randomized design
placebo
bias
6. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
strength
quartile
treatment
parameter
7. The difference between the first and third quartiles
sample
interquartile range
spread
sampling variability
8. A study based on data in which no manipulation of factors has been employed
observational study
center
simulation
unimodal
9. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
ladder of powers
normal percentile
observational study
population
10. Value calculated from data to summarize aspects of the data
units
5-number summary
statistic
contingency table
11. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
voluntary response bias
mode
lurking variable
normal percentile
12. Control - randomize - replicate - block
principles of experimental design
single-blind
r2
direction
13. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
linear model
tails
contingency table
standardized value
14. Anything in a survey design that influences response
bar chart
response bias
random
treatment
15. Found by summing all the data values and dividing by the count
outcome
subset
convenience sample
mean
16. The entire group of individuals or instances about whom we hope to learn
normal model
residuals
population
standardizing
17. The difference between the lowest and highest values in a data set
lurking variable
outliers
spread
range
18. Uses adjacent bars to show the distribution of vales in a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in an interval of values
outliers
convenience sample
histogram
range
19. Places in order the effects that many re-expressions have on the data
statistic
ladder of powers
completely randomized design
frequency table
20. When an observed difference is too large for us to believe that is is likely to have occurred naturally
pie chart
context
statistically significant
normal percentile
21. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
uniform
changing center and spread
prospective study
unimodal
22. Shows a bar representing the count of each category in a categorical variable
bar chart
matching
principles of experimental design
simulation component
23. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
marginal distribution
range
outlier
parameter
24. A numerical measure of the direction and strength of a linear association
influential point
correlation
sampling variability
block
25. A variable whose levels are controlled by the experimenter
linear model
r2
factor
population parameter
26. A treatment known to have no effect - administered so that all groups experience the same conditions
population
placebo
voluntary response bias
variable
27. The specific values that the experimenter chooses for a factor
outcome
level
simulation
standard deviation
28. An individual about whom or which we have data
case
matching
standard deviation
principles of experimental design
29. A sample drawn by selecting individuals systematically from a sampling frame
mode
extrapolation
distribution
systematic sample
30. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
control group
random
boxplot
normal model
31. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
quartile
slope
68-95-99.7 rule
regression line
32. When doing this - consider their shape - center - and spread
units
comparing distributions
dotplot
random numbers
33. The ith ___ is the number that falls above i% of the data
simple random sample
quartile
dotplot
percentile
34. Gives the possible values of the variable and the relative frequency of each value
distribution
parameter
response
dotplot
35. Displays data that change over time
re-express data
matching
timeplot
simple random sample
36. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
symmetric
regression to the mean
multistage sample
rescaling
37. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
skewed
distribution
block
representative
38. Any attempt to force a sample to resemble specified attributes of the population
center
systematic sample
matching
standardized value
39. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
intercept
data
control group
bar chart
40. 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
percentile
standard deviation
regression to the mean
41. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
extrapolation
stratified random sample
random assignment
68-95-99.7 rule
42. When groups of experimental units are similar - it is a good idea to gather them together into these
changing center and spread
linear model
block
simple random sample
43. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
context
shape
68-95-99.7 rule
r2
44. The ____ we care about most is straight
direction
independence
form
factor
45. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
influential point
simple random sample
pie chart
center
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
shifting
distribution
undercoverage
marginal distribution
47. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
form
factor
z-score
pie chart
48. A representative subset of a population - examined in hope of learning about the population
residuals
boxplot
sample
lurking variable
49. Graphs a dot for each case against a single axis
symmetric
stem-and-leaf display
dotplot
observational study
50. When averages are taken across different groups - they can appear to contradict the overall averages