SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. Consists of the individuals who are conveniently available
matching
sampling frame
area principle
convenience sample
2. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
independence
uniform
placebo
representative
3. The ____ we care about most is straight
influential point
pie chart
form
response
4. A treatment known to have no effect - administered so that all groups experience the same conditions
influential point
placebo
double-blind
mode
5. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
placebo effect
experiment
frequency table
random numbers
6. Found by summing all the data values and dividing by the count
mean
cluster sample
range
shape
7. Gives the possible values of the variable and the frequency or relative frequency of each value
distribution
influential point
normal probability plot
simple random sample
8. An individual result of a component of a simulation
quartile
sample survey
shifting
outcome
9. The natural tendency of randomly drawn samples to differ
categorical variable
regression to the mean
sampling variability
randomized block
10. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
correlation
level
subset
residuals
11. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
z-score
trial
sampling frame
shape
12. The sum of squared deviations from the mean - divided by the count minus one
randomization
variance
lurking variable
bimodal
13. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
outlier
center
population parameter
simple random sample
14. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
r2
population
randomized block
standardizing
15. Distributions with two modes
matching
simpson's paradox
direction
bimodal
16. When an observed difference is too large for us to believe that is is likely to have occurred naturally
quantitative variable
simpson's paradox
statistically significant
median
17. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
frequency table
z-score
distribution
representative
18. The distribution of either variable alone in a contingency table; the counts or percentages are the totals found in the margins (last row or column) of the table
marginal distribution
multimodal
mean
observational study
19. Anything in a survey design that influences response
response bias
experiment
lurking variable
statistically significant
20. 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
shape
matched
simulation
cluster sample
21. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
shape
pie chart
data
normal percentile
22. Summarized with the standard deviation - interquartile range - and range
5-number summary
multimodal
ladder of powers
spread
23. The best defense against bias - in which each individual is given a fair - random chance of selection
population
subset
randomization
outcome
24. The most basic situation in a simulation in which something happens at random
simulation component
matched
principles of experimental design
spread
25. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
slope
random assignment
multistage sample
rescaling
26. An event is this if we know what outcomes could happen - but not which particular values will happen
boxplot
data table
random
random assignment
27. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
voluntary response bias
normal probability plot
retrospective study
pie chart
28. 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
standardizing
subset
randomization
randomized block
29. 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
single-blind
shape
68-95-99.7 rule
conditional distribution
30. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
units
systematic sample
standard deviation
statistically significant
31. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
placebo effect
linear model
shape
distribution
32. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
influential point
confounded
undercoverage
intercept
33. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
outlier
data table
strength
data
34. Found by substituting the x-value in the regression equation; they're the values on the fitted line
regression to the mean
data table
predicted value
matching
35. Places in order the effects that many re-expressions have on the data
dotplot
stratified random sample
subset
ladder of powers
36. An observational study in which subjects are followed to observe future outcomes
prospective study
shape
regression to the mean
strength
37. The square root of the variance
standard deviation
parameter
categorical variable
independence
38. An arrangement of data in which each row represents a case and each column represents a variable
predicted value
tails
data table
unimodal
39. When either those who could influence or evaluate the results is blinded
simple random sample
center
units
single-blind
40. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
mean
experiment
bar chart
least squares
41. A list of individuals from whom the sample is drawn
sampling frame
experiment
area principle
multimodal
42. 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
outlier
undercoverage
normal probability plot
intercept
43. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
simulation component
comparing distributions
changing center and spread
blinding
44. A normal model with a mean of 0 and a standard deviation of 1
lurking variable
range
standard normal model
conditional distribution
45. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
categorical variable
r2
randomized block
symmetric
46. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
z-score
bias
range
prospective study
47. Summarized with the mean or the median
center
marginal distribution
multimodal
bias
48. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
68-95-99.7 rule
slope
mode
outlier
49. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small
response variable
data
leverage
unimodal
50. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
marginal distribution
direction
rescaling
lurking variable