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Test your basic knowledge |
AP Statistics Vocab
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Subjects
:
statistics
,
ap
Instructions:
Answer 50 questions in 15 minutes.
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.
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 numerically valued attribute of a model for a population
subset
principles of experimental design
randomization
population parameter
2. The middle value with half of the data above and half below it
outlier
completely randomized design
slope
median
3. 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
5-number summary
spread
simulation
shape
4. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
68-95-99.7 rule
intercept
randomized block
symmetric
5. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
independence
sample survey
statistically significant
context
6. A representative subset of a population - examined in hope of learning about the population
sample
regression to the mean
strength
completely randomized design
7. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
normal percentile
outcome
z-score
undercoverage
8. Places in order the effects that many re-expressions have on the data
case
area principle
independence
ladder of powers
9. The distribution of a variable restricting the who to consider only a smaller group of individuals
single-blind
sample size
random numbers
conditional distribution
10. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
standardized value
double-blind
retrospective study
distribution
11. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
regression to the mean
rescaling
conditional distribution
influential point
12. The entire group of individuals or instances about whom we hope to learn
outlier
nonresponse bias
influential point
population
13. Summarized with the mean or the median
random
mean
rescaling
center
14. Shows a bar representing the count of each category in a categorical variable
bar chart
single-blind
normal model
population
15. 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
outlier
experiment
stratified random sample
multimodal
16. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
variable
tails
boxplot
treatment
17. The ith ___ is the number that falls above i% of the data
68-95-99.7 rule
influential point
response
percentile
18. 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
block
convenience sample
68-95-99.7 rule
double-blind
19. A variable in which the numbers act as numerical values; always has units
bias
undercoverage
regression line
quantitative variable
20. 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
linear model
distribution
completely randomized design
contingency table
21. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
normal model
spread
subset
bias
22. An equation or formula that simplifies and represents reality
model
ladder of powers
stratified random sample
experiment
23. Sampling schemes that combine several sampling methods
multistage sample
residuals
median
contingency table
24. Shows quantitative data values in a way that sketches the distribution of the data
stem-and-leaf display
bar chart
median
bias
25. Graphs a dot for each case against a single axis
dotplot
stratified random sample
bar chart
factor
26. A numerical measure of the direction and strength of a linear association
parameter
undercoverage
center
correlation
27. Displays data that change over time
matching
retrospective study
data table
timeplot
28. An equation of the form y-hat = b0 + b1x
linear model
simulation component
block
scatterplots
29. Value found by subtracting the mean and dividing by the standard deviation
unimodal
bar chart
r2
standardized value
30. Useful family of models for unimodal - symmetric distributions
bar chart
experimental units
normal model
extrapolation
31. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
marginal distribution
unimodal
standardized value
data table
32. A point that does not fit the overall pattern seen in the scatterplot
conditional distribution
68-95-99.7 rule
population parameter
outlier
33. When doing this - consider their shape - center - and spread
frequency table
interquartile range
linear model
comparing distributions
34. Anything in a survey design that influences response
intercept
response bias
matching
68-95-99.7 rule
35. Control - randomize - replicate - block
area principle
principles of experimental design
standard deviation
center
36. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
confounded
sampling frame
area principle
outlier
37. Gives the possible values of the variable and the frequency or relative frequency of each value
matching
distribution
randomized block
subset
38. An observational study in which subjects are followed to observe future outcomes
response variable
prospective study
5-number summary
sampling variability
39. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
strength
marginal distribution
statistically significant
trial
40. 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
mean
ladder of powers
tails
41. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
unimodal
outlier
median
control group
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
contingency table
area principle
marginal distribution
normal probability plot
43. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
standardizing
population
bias
principles of experimental design
44. 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
population parameter
response
stem-and-leaf display
marginal distribution
45. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
correlation
r2
sample size
46. 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
comparing distributions
direction
matched
undercoverage
47. Distributions with two modes
bimodal
68-95-99.7 rule
residuals
blinding
48. 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
parameter
stem-and-leaf display
range
49. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
strength
blinding
lurking variable
68-95-99.7 rule
50. Extreme values that don't appear to belong with the rest of the data
regression to the mean
distribution
outliers
randomization
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