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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 groups of experimental units are similar - it is a good idea to gather them together into these
data
conditional distribution
block
contingency table
2. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest
matched
percentile
lurking variable
units
3. The square root of the variance
standard deviation
correlation
census
categorical variable
4. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
regression line
voluntary response bias
data
response
5. A variable whose values are compared across different treatments
uniform
response
intercept
histogram
6. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted
extrapolation
uniform
parameter
predicted value
7. Design Randomization occurring within blocks
standard normal model
influential point
randomized block
slope
8. The most basic situation in a simulation in which something happens at random
simulation component
scatterplots
blinding
lurking variable
9. Distributions with more than two modes
sample size
sampling variability
changing center and spread
multimodal
10. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
frequency table
interquartile range
dotplot
lurking variable
11. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
lurking variable
interquartile range
scatterplots
treatment
12. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
mode
leverage
experiment
13. 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
dotplot
undercoverage
slope
changing center and spread
14. An equation of the form y-hat = b0 + b1x
normal percentile
block
linear model
direction
15. The sequence of several components representing events that we are pretending will take place
trial
normal percentile
rescaling
extrapolation
16. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
symmetric
direction
retrospective study
context
17. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
parameter
response variable
strength
population parameter
18. A sample that consists of the entire population
spread
conditional distribution
bias
census
19. The best defense against bias - in which each individual is given a fair - random chance of selection
control group
context
randomization
population
20. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
median
re-express data
area principle
representative
21. Numerically valued attribute of a model
68-95-99.7 rule
z-score
parameter
statistically significant
22. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
multimodal
stratified random sample
symmetric
sample size
23. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
level
z-score
sampling variability
mean
24. All experimental units have an equal chance of receiving any treatment
distribution
standardized value
multistage sample
completely randomized design
25. Control - randomize - replicate - block
statistic
rescaling
response bias
principles of experimental design
26. The entire group of individuals or instances about whom we hope to learn
bias
influential point
outliers
population
27. An event is this if we know what outcomes could happen - but not which particular values will happen
outlier
standardized value
random
nonresponse bias
28. Shows quantitative data values in a way that sketches the distribution of the data
stem-and-leaf display
histogram
z-score
statistic
29. A variable in which the numbers act as numerical values; always has units
distribution
residuals
quantitative variable
histogram
30. Found by summing all the data values and dividing by the count
trial
representative
mean
sample survey
31. 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
form
mean
timeplot
32. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
representative
population parameter
random numbers
population
33. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
stratified random sample
multimodal
variable
principles of experimental design
34. Any attempt to force a sample to resemble specified attributes of the population
unimodal
matching
distribution
principles of experimental design
35. Displays data that change over time
statistically significant
68-95-99.7 rule
bar chart
timeplot
36. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
parameter
comparing distributions
leverage
residuals
37. The ith ___ is the number that falls above i% of the data
percentile
residuals
response bias
form
38. 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
variable
blinding
undercoverage
pie chart
39. A numerical summary of how tightly the values are clustered around the 'center'
slope
spread
mean
outlier
40. Sampling schemes that combine several sampling methods
regression line
control group
multistage sample
randomization
41. A treatment known to have no effect - administered so that all groups experience the same conditions
case
multistage sample
response variable
placebo
42. Consists of the individuals who are conveniently available
dotplot
uniform
contingency table
convenience sample
43. When omitting a point from the data results in a very different regression model - the point is an ____
influential point
data
double-blind
sample survey
44. Value found by subtracting the mean and dividing by the standard deviation
randomization
standardized value
changing center and spread
standardizing
45. A numerically valued attribute of a model for a population
ladder of powers
sample
population parameter
changing center and spread
46. Extreme values that don't appear to belong with the rest of the data
outliers
form
randomized block
statistic
47. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
outlier
units
multimodal
population
48. Doing this is equivalent to changing its units
bar chart
shape
confounded
changing center and spread
49. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
retrospective study
multistage sample
standardizing
5-number summary
50. Summarized with the mean or the median
center
sampling frame
outlier
linear model