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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. 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
distribution
nonresponse bias
context
random
2. A variable whose values are compared across different treatments
sampling variability
randomization
response
skewed
3. Found by substituting the x-value in the regression equation; they're the values on the fitted line
population parameter
predicted value
shifting
random assignment
4. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
shape
shifting
sample survey
center
5. Consists of the individuals who are conveniently available
contingency table
convenience sample
outliers
extrapolation
6. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
observational study
standard deviation
independence
standard normal model
7. Distributions with two modes
regression line
bimodal
subset
single-blind
8. Shows a bar representing the count of each category in a categorical variable
bar chart
dotplot
slope
response
9. 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
range
regression to the mean
experiment
spread
10. An individual result of a component of a simulation
frequency table
outcome
correlation
block
11. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
regression line
observational study
randomized block
intercept
12. Distributions with more than two modes
regression to the mean
z-score
multimodal
ladder of powers
13. An equation of the form y-hat = b0 + b1x
quartile
linear model
lurking variable
outcome
14. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
form
random numbers
categorical variable
placebo
15. The entire group of individuals or instances about whom we hope to learn
principles of experimental design
population
treatment
normal percentile
16. A point that does not fit the overall pattern seen in the scatterplot
linear model
outlier
representative
timeplot
17. 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
standard deviation
regression line
changing center and spread
simulation
18. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
data
response variable
extrapolation
19. A numerically valued attribute of a model for a population
randomization
quartile
normal percentile
population parameter
20. Found by summing all the data values and dividing by the count
r2
convenience sample
mean
double-blind
21. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
parameter
randomized block
unimodal
22. 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
confounded
quartile
subset
treatment
23. 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
re-express data
range
uniform
24. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
voluntary response bias
random
rescaling
lurking variable
25. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
symmetric
tails
placebo effect
mode
26. The specific values that the experimenter chooses for a factor
marginal distribution
pie chart
influential point
level
27. Control - randomize - replicate - block
principles of experimental design
regression to the mean
simulation
multistage sample
28. An observational study in which subjects are followed to observe future outcomes
pie chart
extrapolation
response
prospective study
29. Displays data that change over time
context
timeplot
boxplot
prospective study
30. A study based on data in which no manipulation of factors has been employed
observational study
completely randomized design
re-express data
normal probability plot
31. A variable whose levels are controlled by the experimenter
median
intercept
context
factor
32. A variable in which the numbers act as numerical values; always has units
quantitative variable
shifting
variance
variable
33. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
strength
symmetric
matched
contingency table
34. A distribution is this if it's not symmetric and one tail stretches out farther than the other
model
retrospective study
quartile
skewed
35. 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
marginal distribution
random assignment
strength
bar chart
36. Summarized with the standard deviation - interquartile range - and range
multimodal
variable
comparing distributions
spread
37. Summarized with the mean or the median
center
area principle
placebo effect
treatment
38. When an observed difference is too large for us to believe that is is likely to have occurred naturally
statistically significant
random assignment
center
principles of experimental design
39. A normal model with a mean of 0 and a standard deviation of 1
ladder of powers
simulation
timeplot
standard normal model
40. Numerically valued attribute of a model
quartile
parameter
frequency table
spread
41. The most basic situation in a simulation in which something happens at random
residuals
random
simulation component
units
42. The ____ we care about most is straight
pie chart
form
68-95-99.7 rule
extrapolation
43. 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
uniform
lurking variable
placebo effect
44. A distribution that's roughly flat
cluster sample
uniform
r2
nonresponse bias
45. When doing this - consider their shape - center - and spread
comparing distributions
categorical variable
percentile
rescaling
46. A sample drawn by selecting individuals systematically from a sampling frame
68-95-99.7 rule
single-blind
variable
systematic sample
47. Any attempt to force a sample to resemble specified attributes of the population
matching
distribution
randomization
random numbers
48. Gives the possible values of the variable and the relative frequency of each value
spread
timeplot
strength
distribution
49. Value found by subtracting the mean and dividing by the standard deviation
area principle
parameter
standardized value
center
50. Anything in a survey design that influences response
outliers
slope
response bias
timeplot