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. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
normal probability plot
re-express data
distribution
percentile
2. 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
blinding
intercept
boxplot
histogram
3. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
form
stem-and-leaf display
response variable
frequency table
4. Distributions with more than two modes
bar chart
data
bimodal
multimodal
5. To be valid - an experiment must assign experimental units to treatment groups at random
outliers
shape
area principle
random assignment
6. The ith ___ is the number that falls above i% of the data
percentile
convenience sample
histogram
variance
7. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
convenience sample
68-95-99.7 rule
randomized block
strength
8. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
boxplot
lurking variable
categorical variable
dotplot
9. An equation of the form y-hat = b0 + b1x
sampling frame
double-blind
systematic sample
linear model
10. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
z-score
outliers
double-blind
voluntary response bias
11. When an observed difference is too large for us to believe that is is likely to have occurred naturally
statistically significant
nonresponse bias
units
bar chart
12. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
mode
normal model
normal percentile
residuals
13. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
spread
symmetric
re-express data
blinding
14. Useful family of models for unimodal - symmetric distributions
control group
conditional distribution
sample survey
normal model
15. A sampling design in which entire groups are chosen at random
outlier
independence
cluster sample
5-number summary
16. A treatment known to have no effect - administered so that all groups experience the same conditions
representative
outlier
spread
placebo
17. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
statistically significant
distribution
trial
lurking variable
18. 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
units
distribution
68-95-99.7 rule
simulation
19. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
tails
mean
standard deviation
quartile
20. When omitting a point from the data results in a very different regression model - the point is an ____
sample size
data table
confounded
influential point
21. A normal model with a mean of 0 and a standard deviation of 1
experimental units
standard normal model
standard deviation
single-blind
22. 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
simple random sample
direction
variable
contingency table
23. The difference between the first and third quartiles
interquartile range
outlier
center
case
24. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
pie chart
stem-and-leaf display
least squares
25. The middle value with half of the data above and half below it
median
data table
regression to the mean
bias
26. Design Randomization occurring within blocks
r2
randomized block
sample
mode
27. All experimental units have an equal chance of receiving any treatment
completely randomized design
random assignment
standardized value
simulation component
28. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
statistically significant
strength
stratified random sample
subset
29. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
extrapolation
simple random sample
dotplot
variance
30. 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
marginal distribution
shifting
matched
multistage sample
31. 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
contingency table
quartile
shifting
stem-and-leaf display
32. The best defense against bias - in which each individual is given a fair - random chance of selection
data
observational study
pie chart
randomization
33. A list of individuals from whom the sample is drawn
parameter
sampling frame
5-number summary
treatment
34. Found by substituting the x-value in the regression equation; they're the values on the fitted line
predicted value
simpson's paradox
normal percentile
extrapolation
35. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
outcome
response variable
shape
contingency table
36. When both those who could influence and evaluate the results are blinded
outlier
double-blind
categorical variable
comparing distributions
37. Individuals on whom an experiment is performed
undercoverage
experimental units
skewed
simpson's paradox
38. Doing this is equivalent to changing its units
normal probability plot
blinding
changing center and spread
intercept
39. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
unimodal
influential point
standardizing
sample survey
40. When groups of experimental units are similar - it is a good idea to gather them together into these
block
statistically significant
observational study
lurking variable
41. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
rescaling
treatment
quartile
normal percentile
42. Shows quantitative data values in a way that sketches the distribution of the data
stem-and-leaf display
data table
matched
tails
43. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
units
influential point
ladder of powers
retrospective study
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
population
standardizing
context
45. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
timeplot
influential point
z-score
multistage sample
46. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
multistage sample
conditional distribution
retrospective study
confounded
47. Systematically recorded information - whether numbers or labels - together with its context
data
68-95-99.7 rule
quartile
randomized block
48. A study based on data in which no manipulation of factors has been employed
trial
regression line
normal percentile
observational study
49. An arrangement of data in which each row represents a case and each column represents a variable
r2
data table
simple random sample
case
50. A distribution is this if it's not symmetric and one tail stretches out farther than the other
leverage
unimodal
skewed
blinding