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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. Numerically valued attribute of a model
mean
percentile
contingency table
parameter
2. 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
mode
context
simulation
outlier
3. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
completely randomized design
multimodal
rescaling
4. When either those who could influence or evaluate the results is blinded
categorical variable
single-blind
symmetric
response
5. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
treatment
response
bar chart
6. A representative subset of a population - examined in hope of learning about the population
standard normal model
representative
sample
model
7. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
median
simulation component
least squares
treatment
8. A numerically valued attribute of a model for a population
undercoverage
population parameter
trial
data
9. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
boxplot
spread
5-number summary
response
10. Distributions with two modes
sample
68-95-99.7 rule
stratified random sample
bimodal
11. Values of this record the results of each trial with respect to what we were interested in
slope
response variable
bias
subset
12. When groups of experimental units are similar - it is a good idea to gather them together into these
outliers
lurking variable
block
shifting
13. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
population parameter
residuals
frequency table
simulation component
14. Any attempt to force a sample to resemble specified attributes of the population
experiment
boxplot
matching
undercoverage
15. A numerical summary of how tightly the values are clustered around the 'center'
trial
spread
re-express data
sampling variability
16. Summarized with the standard deviation - interquartile range - and range
census
placebo
spread
bias
17. Displays counts and - sometimes - percentages of individuals falling into named categories on two or more variables; categorizes the individuals on all variables at once - to reveal possible patterns in one variable that may be contingent on the cate
shifting
systematic sample
contingency table
experiment
18. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
68-95-99.7 rule
rescaling
independence
trial
19. Anything in a survey design that influences response
statistic
response bias
linear model
response
20. Graphs a dot for each case against a single axis
dotplot
categorical variable
sampling variability
ladder of powers
21. Value found by subtracting the mean and dividing by the standard deviation
units
influential point
area principle
standardized value
22. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
random assignment
area principle
data table
least squares
23. A numerical measure of the direction and strength of a linear association
correlation
experimental units
percentile
marginal distribution
24. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
population parameter
unimodal
mode
percentile
25. To be valid - an experiment must assign experimental units to treatment groups at random
standardizing
shape
block
random assignment
26. The most basic situation in a simulation in which something happens at random
case
systematic sample
simulation component
blinding
27. A variable whose levels are controlled by the experimenter
direction
center
factor
nonresponse bias
28. Displays data that change over time
response variable
shifting
marginal distribution
timeplot
29. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
parameter
stem-and-leaf display
matched
30. Found by substituting the x-value in the regression equation; they're the values on the fitted line
double-blind
predicted value
random assignment
z-score
31. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
parameter
sample
lurking variable
placebo
32. An equation of the form y-hat = b0 + b1x
range
ladder of powers
linear model
dotplot
33. A variable in which the numbers act as numerical values; always has units
slope
influential point
quantitative variable
distribution
34. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
matched
comparing distributions
pie chart
tails
35. The distribution of a variable restricting the who to consider only a smaller group of individuals
5-number summary
dotplot
center
conditional distribution
36. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
completely randomized design
matching
z-score
spread
37. 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
parameter
variance
variable
38. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
sampling frame
level
5-number summary
shape
39. The sequence of several components representing events that we are pretending will take place
normal probability plot
pie chart
trial
form
40. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
single-blind
undercoverage
distribution
regression line
41. 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
68-95-99.7 rule
stratified random sample
z-score
voluntary response bias
42. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
z-score
categorical variable
multistage sample
symmetric
43. Shows the relationship between two quantitative variables measured on the same cases
principles of experimental design
experimental units
scatterplots
range
44. Individuals on whom an experiment is performed
experimental units
random numbers
sample survey
interquartile range
45. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
linear model
form
bias
confounded
46. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
matching
predicted value
outliers
47. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
multimodal
factor
placebo effect
model
48. The difference between the lowest and highest values in a data set
range
case
population
blinding
49. 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
multimodal
statistic
center
50. A variable whose values are compared across different treatments
units
response
comparing distributions
bias