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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. Extreme values that don't appear to belong with the rest of the data
outliers
uniform
nonresponse bias
treatment
2. Places in order the effects that many re-expressions have on the data
ladder of powers
random
blinding
sample
3. A numerically valued attribute of a model for a population
convenience sample
center
population parameter
frequency table
4. Summarized with the standard deviation - interquartile range - and range
spread
timeplot
comparing distributions
experiment
5. Shows quantitative data values in a way that sketches the distribution of the data
quantitative variable
stem-and-leaf display
mean
random numbers
6. 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
simple random sample
statistically significant
bimodal
undercoverage
7. 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
standardizing
treatment
systematic sample
slope
8. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
variance
confounded
least squares
stratified random sample
9. A variable whose levels are controlled by the experimenter
factor
area principle
placebo
rescaling
10. 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
contingency table
treatment
distribution
completely randomized design
11. A list of individuals from whom the sample is drawn
5-number summary
sampling frame
subset
intercept
12. An observational study in which subjects are followed to observe future outcomes
census
68-95-99.7 rule
prospective study
control group
13. Distributions with two modes
stem-and-leaf display
systematic sample
marginal distribution
bimodal
14. 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
principles of experimental design
68-95-99.7 rule
correlation
voluntary response bias
15. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
double-blind
bias
population
re-express data
16. 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
distribution
predicted value
subset
17. Gives the possible values of the variable and the frequency or relative frequency of each value
factor
distribution
variance
normal percentile
18. When either those who could influence or evaluate the results is blinded
residuals
statistically significant
single-blind
population
19. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
retrospective study
normal probability plot
population parameter
simulation
20. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
symmetric
multistage sample
outcome
independence
21. Found by summing all the data values and dividing by the count
simulation
mean
distribution
range
22. A sample that consists of the entire population
census
leverage
distribution
data table
23. An individual result of a component of a simulation
matched
stem-and-leaf display
cluster sample
outcome
24. A variable that names categories (whether with words or numerals)
categorical variable
timeplot
lurking variable
intercept
25. The middle value with half of the data above and half below it
median
predicted value
confounded
marginal distribution
26. Useful family of models for unimodal - symmetric distributions
normal model
placebo
scatterplots
lurking variable
27. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
normal model
treatment
matching
data
28. The natural tendency of randomly drawn samples to differ
experiment
z-score
center
sampling variability
29. The sequence of several components representing events that we are pretending will take place
units
trial
mode
center
30. The entire group of individuals or instances about whom we hope to learn
pie chart
sampling frame
completely randomized design
population
31. To be valid - an experiment must assign experimental units to treatment groups at random
randomized block
correlation
random assignment
convenience sample
32. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
r2
representative
mean
33. When doing this - consider their shape - center - and spread
voluntary response bias
comparing distributions
context
experimental units
34. The square root of the variance
predicted value
standard deviation
double-blind
matched
35. A treatment known to have no effect - administered so that all groups experience the same conditions
factor
simulation component
placebo
regression line
36. Shows the relationship between two quantitative variables measured on the same cases
sampling frame
comparing distributions
symmetric
scatterplots
37. Bias introduced to a sample when a large fraction of those sampled fails to respond
simulation component
histogram
mode
nonresponse bias
38. Displays data that change over time
timeplot
histogram
single-blind
random numbers
39. When both those who could influence and evaluate the results are blinded
categorical variable
double-blind
mean
stem-and-leaf display
40. The distribution of a variable restricting the who to consider only a smaller group of individuals
r2
experimental units
conditional distribution
pie chart
41. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
boxplot
residuals
treatment
response variable
42. Shows a bar representing the count of each category in a categorical variable
least squares
bar chart
68-95-99.7 rule
double-blind
43. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
lurking variable
linear model
symmetric
random
44. 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
simple random sample
dotplot
area principle
45. A sampling design in which entire groups are chosen at random
variance
cluster sample
population parameter
scatterplots
46. Numerically valued attribute of a model
parameter
convenience sample
contingency table
data
47. In a statistical display - each data value should be represented by the same amount of area
area principle
leverage
stem-and-leaf display
trial
48. The square of the correlation between y and x; gives the fraction of the variability of y accounted for by the least squares linear regression on x; an overall measure of how successful the regression is in linearly relating y to x
r2
statistically significant
experimental units
standard deviation
49. A numerical measure of the direction and strength of a linear association
correlation
quantitative variable
response
form
50. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
predicted value
histogram
blinding
subset