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. A sample that consists of the entire population
representative
outliers
census
slope
2. The specific values that the experimenter chooses for a factor
strength
data
prospective study
level
3. Shows a bar representing the count of each category in a categorical variable
pie chart
bar chart
lurking variable
convenience sample
4. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
response
units
completely randomized design
stratified random sample
5. A numerical measure of the direction and strength of a linear association
normal percentile
nonresponse bias
correlation
outcome
6. The middle value with half of the data above and half below it
median
matching
least squares
prospective study
7. A numerically valued attribute of a model for a population
bias
intercept
random assignment
population parameter
8. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
observational study
frequency table
placebo effect
correlation
9. Distributions with more than two modes
multimodal
boxplot
outlier
trial
10. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
sample
direction
shifting
tails
11. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
regression line
z-score
5-number summary
histogram
12. 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
population
response
center
13. An equation of the form y-hat = b0 + b1x
normal percentile
linear model
random
voluntary response bias
14. The ____ we care about most is straight
subset
statistic
form
z-score
15. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
ladder of powers
boxplot
comparing distributions
sample
16. The ith ___ is the number that falls above i% of the data
center
random assignment
percentile
re-express data
17. Graphs a dot for each case against a single axis
sampling frame
standard normal model
dotplot
standardizing
18. 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
random numbers
contingency table
boxplot
principles of experimental design
19. 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
matched
data
experiment
statistic
20. Gives the possible values of the variable and the relative frequency of each value
symmetric
contingency table
distribution
shifting
21. Shows quantitative data values in a way that sketches the distribution of the data
stem-and-leaf display
units
5-number summary
treatment
22. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
frequency table
representative
outliers
intercept
23. A variable that names categories (whether with words or numerals)
bimodal
categorical variable
lurking variable
distribution
24. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
rescaling
standardized value
units
shape
25. The sequence of several components representing events that we are pretending will take place
statistic
context
trial
standard deviation
26. Shows the relationship between two quantitative variables measured on the same cases
sample
standardized value
scatterplots
simulation component
27. Found by substituting the x-value in the regression equation; they're the values on the fitted line
subset
slope
predicted value
placebo effect
28. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
data
quartile
observational study
re-express data
29. A representative subset of a population - examined in hope of learning about the population
68-95-99.7 rule
sample
double-blind
simpson's paradox
30. To be valid - an experiment must assign experimental units to treatment groups at random
slope
spread
dotplot
random assignment
31. Found by summing all the data values and dividing by the count
response bias
mean
independence
sample size
32. 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
outlier
simulation
simple random sample
slope
33. A list of individuals from whom the sample is drawn
sampling frame
quartile
timeplot
random assignment
34. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
control group
confounded
sampling frame
regression to the mean
35. Values of this record the results of each trial with respect to what we were interested in
normal model
boxplot
response variable
retrospective study
36. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
least squares
lurking variable
boxplot
direction
37. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
standard normal model
normal model
intercept
predicted value
38. The best defense against bias - in which each individual is given a fair - random chance of selection
outlier
randomization
distribution
conditional distribution
39. 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
response variable
statistic
placebo effect
normal probability plot
40. Extreme values that don't appear to belong with the rest of the data
sample size
outliers
center
normal percentile
41. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
slope
contingency table
sample survey
sample
42. Places in order the effects that many re-expressions have on the data
spread
stem-and-leaf display
multimodal
ladder of powers
43. Sampling schemes that combine several sampling methods
histogram
simulation
multistage sample
nonresponse bias
44. When groups of experimental units are similar - it is a good idea to gather them together into these
68-95-99.7 rule
response bias
case
block
45. 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
undercoverage
center
direction
model
46. Consists of the individuals who are conveniently available
pie chart
categorical variable
influential point
convenience sample
47. Displays data that change over time
timeplot
shape
center
spread
48. Individuals on whom an experiment is performed
double-blind
bar chart
nonresponse bias
experimental units
49. A distribution is this if it's not symmetric and one tail stretches out farther than the other
r2
stem-and-leaf display
skewed
normal probability plot
50. All experimental units have an equal chance of receiving any treatment
68-95-99.7 rule
simulation component
skewed
completely randomized design