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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. Control - randomize - replicate - block
extrapolation
principles of experimental design
boxplot
outliers
2. When omitting a point from the data results in a very different regression model - the point is an ____
level
response bias
scatterplots
influential point
3. Displays data that change over time
census
timeplot
correlation
form
4. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
stratified random sample
mean
randomized block
population parameter
5. The number of individuals in a sample
case
sample size
5-number summary
mean
6. An event is this if we know what outcomes could happen - but not which particular values will happen
random
response bias
principles of experimental design
placebo
7. A study based on data in which no manipulation of factors has been employed
observational study
form
blinding
nonresponse bias
8. 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
standard normal model
quartile
voluntary response bias
center
9. The entire group of individuals or instances about whom we hope to learn
standardizing
population
slope
contingency table
10. Distributions with more than two modes
changing center and spread
68-95-99.7 rule
multimodal
data
11. Found by substituting the x-value in the regression equation; they're the values on the fitted line
mean
predicted value
random assignment
random numbers
12. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
unimodal
case
dotplot
lurking variable
13. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
skewed
slope
shifting
simple random sample
14. The most basic situation in a simulation in which something happens at random
contingency table
principles of experimental design
control group
simulation component
15. The difference between the first and third quartiles
interquartile range
bar chart
timeplot
population parameter
16. 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
regression to the mean
experiment
uniform
marginal distribution
17. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
standard normal model
5-number summary
parameter
area principle
18. Holds information about the same characteristic for many cases
variable
scatterplots
statistically significant
independence
19. 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
sampling variability
treatment
census
20. A distribution that's roughly flat
comparing distributions
shifting
uniform
block
21. Shows the relationship between two quantitative variables measured on the same cases
placebo
principles of experimental design
randomized block
scatterplots
22. The specific values that the experimenter chooses for a factor
level
multistage sample
changing center and spread
statistic
23. An equation or formula that simplifies and represents reality
spread
simpson's paradox
sample survey
model
24. The natural tendency of randomly drawn samples to differ
median
convenience sample
skewed
sampling variability
25. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small
leverage
mean
pie chart
standard deviation
26. Design Randomization occurring within blocks
randomized block
percentile
re-express data
parameter
27. A sample drawn by selecting individuals systematically from a sampling frame
bar chart
systematic sample
single-blind
response bias
28. Found by summing all the data values and dividing by the count
spread
units
mean
multimodal
29. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
shifting
blinding
skewed
normal model
30. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
comparing distributions
variance
random numbers
completely randomized design
31. A sample that consists of the entire population
census
spread
randomized block
linear model
32. 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
double-blind
experimental units
direction
prospective study
33. Gives the possible values of the variable and the relative frequency of each value
context
strength
simpson's paradox
distribution
34. Value found by subtracting the mean and dividing by the standard deviation
standardized value
sample survey
correlation
cluster sample
35. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
stem-and-leaf display
sample survey
standardized value
outlier
36. Numerically valued attribute of a model
median
randomization
case
parameter
37. An individual result of a component of a simulation
systematic sample
outcome
bias
undercoverage
38. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
median
tails
representative
39. All experimental units have an equal chance of receiving any treatment
ladder of powers
categorical variable
observational study
completely randomized design
40. The ith ___ is the number that falls above i% of the data
outcome
response variable
percentile
blinding
41. Anything in a survey design that influences response
normal probability plot
lurking variable
response bias
randomized block
42. Summarized with the standard deviation - interquartile range - and range
spread
variance
variable
frequency table
43. 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
linear model
normal probability plot
model
standardizing
44. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
block
double-blind
form
center
45. 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
slope
least squares
experiment
outlier
46. Shows quantitative data values in a way that sketches the distribution of the data
blinding
bar chart
stem-and-leaf display
mean
47. Consists of the individuals who are conveniently available
convenience sample
population parameter
symmetric
experimental units
48. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
undercoverage
random assignment
least squares
treatment
49. The middle value with half of the data above and half below it
predicted value
shifting
median
double-blind
50. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
response
completely randomized design
voluntary response bias
changing center and spread