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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. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
regression to the mean
outlier
sampling frame
standardizing
2. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
sampling frame
convenience sample
units
treatment
3. Gives the possible values of the variable and the relative frequency of each value
factor
distribution
linear model
randomized block
4. A study based on data in which no manipulation of factors has been employed
blinding
outliers
observational study
multistage sample
5. Useful family of models for unimodal - symmetric distributions
convenience sample
outcome
normal model
least squares
6. A distribution that's roughly flat
data
distribution
outliers
uniform
7. 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
least squares
response variable
normal probability plot
randomized block
8. 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
center
random
experiment
multimodal
9. A treatment known to have no effect - administered so that all groups experience the same conditions
direction
boxplot
placebo
observational study
10. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
residuals
center
single-blind
response bias
11. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR
shifting
pie chart
range
observational study
12. The best defense against bias - in which each individual is given a fair - random chance of selection
changing center and spread
correlation
trial
randomization
13. Shows the relationship between two quantitative variables measured on the same cases
blinding
symmetric
scatterplots
experiment
14. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
unimodal
area principle
population
rescaling
15. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
skewed
stratified random sample
least squares
variance
16. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
linear model
cluster sample
independence
random assignment
17. 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
leverage
5-number summary
lurking variable
18. Places in order the effects that many re-expressions have on the data
ladder of powers
random assignment
r2
observational study
19. When doing this - consider their shape - center - and spread
census
comparing distributions
linear model
response variable
20. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
tails
placebo effect
regression line
re-express data
21. A sample that consists of the entire population
level
case
bimodal
census
22. Found by summing all the data values and dividing by the count
standard normal model
mean
sample survey
standard deviation
23. 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
sample
68-95-99.7 rule
unimodal
mean
24. An event is this if we know what outcomes could happen - but not which particular values will happen
timeplot
random
least squares
z-score
25. A variable that names categories (whether with words or numerals)
ladder of powers
categorical variable
lurking variable
observational study
26. Bias introduced to a sample when a large fraction of those sampled fails to respond
multimodal
slope
normal percentile
nonresponse bias
27. Summarized with the mean or the median
predicted value
center
spread
case
28. Extreme values that don't appear to belong with the rest of the data
outliers
frequency table
lurking variable
randomization
29. A distribution is this if it's not symmetric and one tail stretches out farther than the other
voluntary response bias
mode
r2
skewed
30. Systematically recorded information - whether numbers or labels - together with its context
outliers
data
statistic
population parameter
31. Uses adjacent bars to show the distribution of vales in a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in an interval of values
matching
frequency table
normal probability plot
histogram
32. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
outliers
double-blind
frequency table
boxplot
33. The sum of squared deviations from the mean - divided by the count minus one
variance
statistic
matched
area principle
34. Distributions with two modes
leverage
randomized block
interquartile range
bimodal
35. A positive ____ or association means that - in general - as one variable increases - so does the other; when increases in one variable generally correspond to decreases in the other - the association is negative
direction
retrospective study
prospective study
standardized value
36. Holds information about the same characteristic for many cases
variable
form
data table
sample survey
37. When averages are taken across different groups - they can appear to contradict the overall averages
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38. A variable in which the numbers act as numerical values; always has units
quantitative variable
center
model
pie chart
39. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
area principle
normal model
intercept
center
40. 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
normal probability plot
outlier
contingency table
boxplot
41. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
direction
control group
lurking variable
response
42. An individual result of a component of a simulation
standardizing
random
outcome
convenience sample
43. The most basic situation in a simulation in which something happens at random
simulation component
prospective study
outlier
bar chart
44. A numerical measure of the direction and strength of a linear association
stem-and-leaf display
correlation
mode
r2
45. An individual about whom or which we have data
lurking variable
stem-and-leaf display
case
statistic
46. 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
comparing distributions
direction
tails
marginal distribution
47. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
bimodal
response
systematic sample
pie chart
48. 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
mean
population parameter
observational study
undercoverage
49. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
re-express data
variable
strength
least squares
50. Displays data that change over time
mean
timeplot
sample
ladder of powers