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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. Value found by subtracting the mean and dividing by the standard deviation
pie chart
least squares
normal percentile
standardized value
2. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
re-express data
data table
systematic sample
mean
3. Sampling schemes that combine several sampling methods
re-express data
multistage sample
extrapolation
bimodal
4. Individuals on whom an experiment is performed
stem-and-leaf display
area principle
statistically significant
experimental units
5. An arrangement of data in which each row represents a case and each column represents a variable
data table
population
spread
mean
6. 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
treatment
population
shifting
cluster sample
7. A sampling design in which entire groups are chosen at random
randomized block
influential point
experiment
cluster sample
8. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
standard normal model
spread
pie chart
trial
9. Numerically valued attribute of a model
parameter
boxplot
simulation
simulation component
10. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed
mode
linear model
random
context
11. A distribution that's roughly flat
sample size
shape
spread
uniform
12. When both those who could influence and evaluate the results are blinded
tails
simulation component
double-blind
response variable
13. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
variable
response bias
histogram
stratified random sample
14. The difference between the lowest and highest values in a data set
range
boxplot
scatterplots
population parameter
15. When an observed difference is too large for us to believe that is is likely to have occurred naturally
median
quantitative variable
statistically significant
multistage sample
16. A numerical summary of how tightly the values are clustered around the 'center'
leverage
spread
histogram
placebo
17. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
standard normal model
placebo effect
68-95-99.7 rule
18. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
level
prospective study
center
19. 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
quartile
simulation
lurking variable
subset
20. A variable whose levels are controlled by the experimenter
factor
census
conditional distribution
spread
21. A variable that names categories (whether with words or numerals)
double-blind
regression to the mean
categorical variable
voluntary response bias
22. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
standardizing
distribution
re-express data
intercept
23. Design Randomization occurring within blocks
distribution
multistage sample
randomized block
factor
24. 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
standardized value
contingency table
normal percentile
sampling frame
25. Displays data that change over time
normal probability plot
experiment
timeplot
simpson's paradox
26. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
normal probability plot
center
outlier
interquartile range
27. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
ladder of powers
regression to the mean
contingency table
range
28. An equation or formula that simplifies and represents reality
simulation
random
model
correlation
29. When either those who could influence or evaluate the results is blinded
cluster sample
regression line
systematic sample
single-blind
30. Summarized with the standard deviation - interquartile range - and range
dotplot
comparing distributions
simpson's paradox
spread
31. In a statistical display - each data value should be represented by the same amount of area
confounded
area principle
influential point
multimodal
32. An individual about whom or which we have data
regression line
sampling variability
outlier
case
33. When averages are taken across different groups - they can appear to contradict the overall averages
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34. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
lurking variable
multistage sample
sample survey
slope
35. 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
conditional distribution
normal model
factor
slope
36. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
multimodal
influential point
placebo effect
observational study
37. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
uniform
response
tails
outlier
38. 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
categorical variable
outcome
population parameter
39. All experimental units have an equal chance of receiving any treatment
unimodal
completely randomized design
random
interquartile range
40. The best defense against bias - in which each individual is given a fair - random chance of selection
randomization
predicted value
variance
data
41. The sum of squared deviations from the mean - divided by the count minus one
standard deviation
frequency table
variance
influential point
42. A variable whose values are compared across different treatments
matched
response
area principle
correlation
43. The distribution of a variable restricting the who to consider only a smaller group of individuals
68-95-99.7 rule
experimental units
outlier
conditional distribution
44. Graphs a dot for each case against a single axis
dotplot
model
stem-and-leaf display
interquartile range
45. The difference between the first and third quartiles
distribution
interquartile range
census
convenience sample
46. An individual result of a component of a simulation
form
outcome
random assignment
intercept
47. The specific values that the experimenter chooses for a factor
normal percentile
treatment
level
normal probability plot
48. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
mode
center
simpson's paradox
statistically significant
49. 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
r2
matched
data table
variable
50. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
response variable
frequency table
least squares
single-blind