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. 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
influential point
parameter
stem-and-leaf display
2. Sampling schemes that combine several sampling methods
multistage sample
sample
prospective study
principles of experimental design
3. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
random
level
normal percentile
contingency table
4. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
voluntary response bias
randomized block
undercoverage
5. The ____ we care about most is straight
response variable
frequency table
form
marginal distribution
6. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it
quartile
center
conditional distribution
control group
7. Numerically valued attribute of a model
nonresponse bias
comparing distributions
conditional distribution
parameter
8. Useful family of models for unimodal - symmetric distributions
normal model
subset
tails
comparing distributions
9. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
confounded
distribution
context
independence
10. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
contingency table
single-blind
double-blind
11. 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
level
r2
linear model
center
12. A representative subset of a population - examined in hope of learning about the population
case
sample
factor
double-blind
13. An individual about whom or which we have data
quartile
uniform
outliers
case
14. Control - randomize - replicate - block
representative
sample size
outcome
principles of experimental design
15. When averages are taken across different groups - they can appear to contradict the overall averages
Warning
: Invalid argument supplied for foreach() in
/var/www/html/basicversity.com/show_quiz.php
on line
183
16. Bias introduced to a sample when a large fraction of those sampled fails to respond
mean
stratified random sample
nonresponse bias
bias
17. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
dotplot
outliers
residuals
prospective study
18. A sampling design in which entire groups are chosen at random
cluster sample
extrapolation
stratified random sample
68-95-99.7 rule
19. The distribution of a variable restricting the who to consider only a smaller group of individuals
center
conditional distribution
trial
linear model
20. Value calculated from data to summarize aspects of the data
variable
model
statistic
lurking variable
21. 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
nonresponse bias
context
random numbers
sampling variability
22. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
area principle
placebo effect
regression line
control group
23. When doing this - consider their shape - center - and spread
level
sampling variability
sample survey
comparing distributions
24. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
strength
shape
response bias
rescaling
25. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
re-express data
units
outlier
cluster sample
26. 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
variance
factor
marginal distribution
census
27. An individual result of a component of a simulation
outcome
model
outliers
confounded
28. A point that does not fit the overall pattern seen in the scatterplot
independence
residuals
spread
outlier
29. Doing this is equivalent to changing its units
single-blind
variable
changing center and spread
units
30. The difference between the lowest and highest values in a data set
representative
range
experiment
shifting
31. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
categorical variable
variance
least squares
matched
32. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
prospective study
outcome
spread
retrospective study
33. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
slope
variance
bimodal
outlier
34. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
context
units
data table
control group
35. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
uniform
multimodal
dotplot
36. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
pie chart
standardized value
variance
frequency table
37. Gives the possible values of the variable and the frequency or relative frequency of each value
control group
distribution
cluster sample
multimodal
38. An equation or formula that simplifies and represents reality
distribution
least squares
model
regression to the mean
39. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
spread
standardizing
center
blinding
40. 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
regression to the mean
simulation
range
population parameter
41. 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
interquartile range
lurking variable
experiment
response variable
42. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
response bias
outlier
variance
43. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed
mode
sampling frame
census
response bias
44. A treatment known to have no effect - administered so that all groups experience the same conditions
boxplot
center
matched
placebo
45. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
form
simple random sample
normal percentile
conditional distribution
46. A variable in which the numbers act as numerical values; always has units
quantitative variable
subset
simulation
outliers
47. A numerically valued attribute of a model for a population
level
population parameter
matching
direction
48. Shows the relationship between two quantitative variables measured on the same cases
lurking variable
scatterplots
mean
slope
49. An event is this if we know what outcomes could happen - but not which particular values will happen
predicted value
random
linear model
randomization
50. Displays data that change over time
intercept
timeplot
simpson's paradox
unimodal