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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. When doing this - consider their shape - center - and spread
comparing distributions
skewed
simulation
variance
2. A treatment known to have no effect - administered so that all groups experience the same conditions
5-number summary
unimodal
placebo
range
3. Design Randomization occurring within blocks
level
randomized block
marginal distribution
pie chart
4. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
least squares
lurking variable
trial
r2
5. The number of individuals in a sample
matched
sample size
placebo effect
confounded
6. Individuals on whom an experiment is performed
slope
experimental units
normal percentile
sample survey
7. When either those who could influence or evaluate the results is blinded
randomization
interquartile range
tails
single-blind
8. 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
slope
marginal distribution
subset
sampling variability
9. The distribution of a variable restricting the who to consider only a smaller group of individuals
placebo
symmetric
conditional distribution
quartile
10. Shows a bar representing the count of each category in a categorical variable
bar chart
boxplot
matched
marginal distribution
11. Distributions with more than two modes
prospective study
independence
double-blind
multimodal
12. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
intercept
bar chart
leverage
frequency table
13. Any attempt to force a sample to resemble specified attributes of the population
matching
tails
sample size
multimodal
14. All experimental units have an equal chance of receiving any treatment
completely randomized design
area principle
center
form
15. Gives the possible values of the variable and the relative frequency of each value
distribution
variable
sample survey
stratified random sample
16. 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
standardizing
shifting
68-95-99.7 rule
multimodal
17. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
range
center
shifting
strength
18. The square root of the variance
standard deviation
experimental units
simple random sample
representative
19. A normal model with a mean of 0 and a standard deviation of 1
symmetric
block
standard normal model
standardized value
20. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
least squares
blinding
distribution
linear model
21. Systematically recorded information - whether numbers or labels - together with its context
population parameter
data
shape
normal probability plot
22. Extreme values that don't appear to belong with the rest of the data
outliers
parameter
variance
percentile
23. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
influential point
bias
case
normal percentile
24. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
outliers
regression line
experimental units
5-number summary
25. Summarized with the standard deviation - interquartile range - and range
principles of experimental design
mode
placebo effect
spread
26. The most basic situation in a simulation in which something happens at random
normal probability plot
simulation component
outlier
direction
27. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
sample survey
comparing distributions
data
extrapolation
28. A list of individuals from whom the sample is drawn
sampling frame
undercoverage
comparing distributions
stem-and-leaf display
29. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
skewed
stratified random sample
tails
z-score
30. 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
statistic
standardized value
ladder of powers
31. 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
strength
simulation
factor
confounded
32. Distributions with two modes
range
bimodal
linear model
subset
33. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
retrospective study
contingency table
sampling variability
matching
34. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
boxplot
correlation
scatterplots
35. A sampling design in which entire groups are chosen at random
principles of experimental design
tails
range
cluster sample
36. When omitting a point from the data results in a very different regression model - the point is an ____
marginal distribution
regression line
influential point
bias
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
direction
statistic
interquartile range
marginal distribution
38. A study based on data in which no manipulation of factors has been employed
leverage
observational study
stem-and-leaf display
sample
39. The ____ we care about most is straight
form
simple random sample
shifting
block
40. Bias introduced to a sample when a large fraction of those sampled fails to respond
spread
nonresponse bias
normal probability plot
intercept
41. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
5-number summary
blinding
parameter
residuals
42. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
stratified random sample
regression line
sampling frame
experimental units
43. Useful family of models for unimodal - symmetric distributions
quantitative variable
normal probability plot
normal model
simulation
44. An individual result of a component of a simulation
area principle
treatment
outcome
representative
45. 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
experiment
predicted value
treatment
tails
46. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
outlier
linear model
representative
comparing distributions
47. In a statistical display - each data value should be represented by the same amount of area
area principle
random assignment
regression to the mean
bar chart
48. A variable whose levels are controlled by the experimenter
blinding
r2
census
factor
49. Value calculated from data to summarize aspects of the data
dotplot
data
statistic
multistage sample
50. The entire group of individuals or instances about whom we hope to learn
sampling variability
population
spread
least squares