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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. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
retrospective study
center
random numbers
bias
2. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted
random numbers
single-blind
extrapolation
variance
3. Shows the relationship between two quantitative variables measured on the same cases
control group
scatterplots
residuals
variable
4. 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
strength
systematic sample
trial
5. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
completely randomized design
bimodal
simple random sample
timeplot
6. Numerically valued attribute of a model
standardized value
parameter
lurking variable
comparing distributions
7. An equation or formula that simplifies and represents reality
blinding
response bias
variance
model
8. 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
boxplot
single-blind
5-number summary
marginal distribution
9. Gives the possible values of the variable and the relative frequency of each value
independence
unimodal
distribution
rescaling
10. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
population
level
scatterplots
blinding
11. The distribution of a variable restricting the who to consider only a smaller group of individuals
categorical variable
voluntary response bias
area principle
conditional distribution
12. An equation of the form y-hat = b0 + b1x
linear model
treatment
timeplot
mean
13. In a statistical display - each data value should be represented by the same amount of area
frequency table
quartile
r2
area principle
14. All experimental units have an equal chance of receiving any treatment
completely randomized design
symmetric
random assignment
timeplot
15. The natural tendency of randomly drawn samples to differ
principles of experimental design
intercept
frequency table
sampling variability
16. An individual about whom or which we have data
confounded
spread
distribution
case
17. 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
treatment
slope
lurking variable
conditional distribution
18. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
population
lurking variable
sample survey
nonresponse bias
19. The difference between the first and third quartiles
interquartile range
distribution
simple random sample
r2
20. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
symmetric
frequency table
standard deviation
percentile
21. Any attempt to force a sample to resemble specified attributes of the population
case
histogram
matching
regression to the mean
22. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
context
trial
representative
distribution
23. Values of this record the results of each trial with respect to what we were interested in
prospective study
rescaling
standard normal model
response variable
24. A sample that consists of the entire population
census
multistage sample
randomized block
symmetric
25. 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
sampling frame
undercoverage
systematic sample
quantitative variable
26. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
sampling frame
multistage sample
independence
frequency table
27. Found by summing all the data values and dividing by the count
simple random sample
ladder of powers
mean
stem-and-leaf display
28. Places in order the effects that many re-expressions have on the data
skewed
ladder of powers
undercoverage
simple random sample
29. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
convenience sample
correlation
treatment
mode
30. The ith ___ is the number that falls above i% of the data
stratified random sample
center
percentile
changing center and spread
31. Value calculated from data to summarize aspects of the data
tails
statistic
spread
response variable
32. Shows a bar representing the count of each category in a categorical variable
lurking variable
bar chart
sampling frame
trial
33. Summarized with the standard deviation - interquartile range - and range
randomized block
center
parameter
spread
34. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
residuals
center
contingency table
re-express data
35. A normal model with a mean of 0 and a standard deviation of 1
subset
categorical variable
standard normal model
simple random sample
36. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
population
unimodal
matched
histogram
37. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest
r2
timeplot
distribution
matched
38. The specific values that the experimenter chooses for a factor
spread
comparing distributions
level
independence
39. Control - randomize - replicate - block
linear model
standard deviation
principles of experimental design
treatment
40. 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
68-95-99.7 rule
level
shape
histogram
41. When both those who could influence and evaluate the results are blinded
random numbers
interquartile range
double-blind
population
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
strength
control group
data
normal probability plot
43. The most basic situation in a simulation in which something happens at random
standardizing
response bias
simulation component
outliers
44. The middle value with half of the data above and half below it
median
rescaling
population
least squares
45. The difference between the lowest and highest values in a data set
range
cluster sample
slope
direction
46. A distribution that's roughly flat
uniform
sample size
sample
pie chart
47. Useful family of models for unimodal - symmetric distributions
statistically significant
normal model
blinding
pie chart
48. The number of individuals in a sample
outlier
boxplot
sample survey
sample size
49. Holds information about the same characteristic for many cases
influential point
variable
strength
simulation
50. The sequence of several components representing events that we are pretending will take place
trial
lurking variable
retrospective study
parameter