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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 distribution is this if the two halves on either side of the center look approximately like mirror images of each other
context
symmetric
blinding
center
2. Holds information about the same characteristic for many cases
data
variable
random numbers
histogram
3. 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
convenience sample
experiment
form
placebo effect
4. Control - randomize - replicate - block
intercept
shifting
parameter
principles of experimental design
5. In a statistical display - each data value should be represented by the same amount of area
extrapolation
experimental units
area principle
census
6. Value calculated from data to summarize aspects of the data
statistic
matched
r2
sample
7. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR
simple random sample
experiment
shifting
multimodal
8. 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
intercept
simulation
standardized value
nonresponse bias
9. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
double-blind
units
5-number summary
completely randomized design
10. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
sample
comparing distributions
placebo effect
scatterplots
11. Shows a bar representing the count of each category in a categorical variable
statistic
random numbers
trial
bar chart
12. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
marginal distribution
simpson's paradox
units
parameter
13. 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
confounded
sample size
undercoverage
random assignment
14. An equation or formula that simplifies and represents reality
tails
bias
model
undercoverage
15. A study based on data in which no manipulation of factors has been employed
variance
observational study
outlier
spread
16. The entire group of individuals or instances about whom we hope to learn
principles of experimental design
population
pie chart
cluster sample
17. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
data table
unimodal
interquartile range
18. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
categorical variable
parameter
quantitative variable
center
19. An observational study in which subjects are followed to observe future outcomes
predicted value
independence
prospective study
influential point
20. Extreme values that don't appear to belong with the rest of the data
lurking variable
mean
placebo effect
outliers
21. A representative subset of a population - examined in hope of learning about the population
normal percentile
sample
nonresponse bias
model
22. 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
lurking variable
distribution
context
interquartile range
23. Numerically valued attribute of a model
parameter
uniform
standard deviation
categorical variable
24. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
simple random sample
residuals
matching
bimodal
25. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
control group
normal model
unimodal
simpson's paradox
26. A point that does not fit the overall pattern seen in the scatterplot
range
extrapolation
outlier
data table
27. The specific values that the experimenter chooses for a factor
mean
categorical variable
statistically significant
level
28. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
lurking variable
standardizing
prospective study
29. A numerical measure of the direction and strength of a linear association
correlation
shifting
sampling variability
random numbers
30. 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
histogram
spread
categorical variable
subset
31. When doing this - consider their shape - center - and spread
units
context
comparing distributions
form
32. The difference between the first and third quartiles
block
multistage sample
control group
interquartile range
33. Places in order the effects that many re-expressions have on the data
independence
ladder of powers
normal percentile
normal model
34. 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
histogram
unimodal
bimodal
direction
35. 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
median
re-express data
histogram
standardizing
36. Useful family of models for unimodal - symmetric distributions
normal model
distribution
matched
systematic sample
37. When an observed difference is too large for us to believe that is is likely to have occurred naturally
normal probability plot
dotplot
statistically significant
stratified random sample
38. The sequence of several components representing events that we are pretending will take place
data table
trial
subset
systematic sample
39. 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
data
standard deviation
placebo
40. Sampling schemes that combine several sampling methods
multistage sample
randomization
population parameter
placebo effect
41. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
lurking variable
simulation
simple random sample
distribution
42. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
response bias
variable
intercept
data table
43. A distribution is this if it's not symmetric and one tail stretches out farther than the other
response
spread
random numbers
skewed
44. Consists of the individuals who are conveniently available
convenience sample
independence
linear model
voluntary response bias
45. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
residuals
factor
subset
pie chart
46. A sample drawn by selecting individuals systematically from a sampling frame
sample survey
linear model
systematic sample
sampling frame
47. Found by summing all the data values and dividing by the count
sample
residuals
mean
symmetric
48. Individuals on whom an experiment is performed
representative
uniform
experimental units
shifting
49. A variable whose levels are controlled by the experimenter
lurking variable
block
factor
68-95-99.7 rule
50. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
dotplot
random assignment
sample survey
comparing distributions