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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 representative subset of a population - examined in hope of learning about the population
standardized value
sample
population parameter
shape
2. A distribution is this if it's not symmetric and one tail stretches out farther than the other
regression line
multistage sample
matching
skewed
3. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
bimodal
control group
multistage sample
leverage
4. 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
shape
randomized block
standardized value
direction
5. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
data table
categorical variable
normal percentile
outlier
6. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
outliers
retrospective study
prospective study
units
7. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
range
prospective study
unimodal
experiment
8. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
nonresponse bias
normal percentile
simulation
least squares
9. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data
sample survey
5-number summary
subset
response bias
10. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
stratified random sample
simulation component
blinding
parameter
11. Gives the possible values of the variable and the relative frequency of each value
distribution
parameter
skewed
data
12. Sampling schemes that combine several sampling methods
center
multistage sample
systematic sample
marginal distribution
13. The specific values that the experimenter chooses for a factor
strength
standardizing
convenience sample
level
14. When omitting a point from the data results in a very different regression model - the point is an ____
pie chart
influential point
symmetric
principles of experimental design
15. Useful family of models for unimodal - symmetric distributions
observational study
mode
intercept
normal model
16. A sample that consists of the entire population
census
treatment
comparing distributions
case
17. 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
ladder of powers
r2
double-blind
systematic sample
18. Anything in a survey design that influences response
multimodal
response bias
experiment
treatment
19. When averages are taken across different groups - they can appear to contradict the overall averages
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20. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
simple random sample
systematic sample
distribution
normal probability plot
21. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
independence
bias
ladder of powers
normal percentile
22. 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
slope
outcome
variable
stem-and-leaf display
23. The middle value with half of the data above and half below it
mode
level
median
standard normal model
24. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
bias
experiment
simulation
frequency table
25. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
outcome
standardizing
population
standard normal model
26. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
randomization
blinding
percentile
response
27. When doing this - consider their shape - center - and spread
simulation component
pie chart
comparing distributions
spread
28. An equation of the form y-hat = b0 + b1x
influential point
linear model
68-95-99.7 rule
sampling frame
29. The most basic situation in a simulation in which something happens at random
nonresponse bias
response bias
simulation component
data
30. A variable that names categories (whether with words or numerals)
census
treatment
matched
categorical variable
31. 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
census
marginal distribution
direction
scatterplots
32. Holds information about the same characteristic for many cases
r2
center
variable
voluntary response bias
33. 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
sample survey
contingency table
influential point
normal probability plot
34. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
standardizing
strength
cluster sample
units
35. A variable whose levels are controlled by the experimenter
factor
prospective study
representative
data
36. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
confounded
lurking variable
lurking variable
double-blind
37. 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
simulation
voluntary response bias
range
blinding
38. A numerically valued attribute of a model for a population
population parameter
tails
completely randomized design
outlier
39. The distribution of a variable restricting the who to consider only a smaller group of individuals
cluster sample
conditional distribution
statistically significant
pie chart
40. A sampling design in which entire groups are chosen at random
bimodal
voluntary response bias
matched
cluster sample
41. 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
variable
observational study
contingency table
stem-and-leaf display
42. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
dotplot
level
outliers
units
43. The ____ we care about most is straight
control group
nonresponse bias
form
dotplot
44. A numerical summary of how tightly the values are clustered around the 'center'
random
random numbers
interquartile range
spread
45. A distribution that's roughly flat
bimodal
experiment
simulation component
uniform
46. Systematically recorded information - whether numbers or labels - together with its context
random assignment
retrospective study
68-95-99.7 rule
data
47. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
placebo effect
changing center and spread
least squares
sampling frame
48. A numerical measure of the direction and strength of a linear association
random
completely randomized design
correlation
census
49. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
lurking variable
symmetric
variance
bar chart
50. An arrangement of data in which each row represents a case and each column represents a variable
undercoverage
skewed
distribution
data table
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