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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. The best defense against bias - in which each individual is given a fair - random chance of selection
randomization
level
percentile
histogram
2. Places in order the effects that many re-expressions have on the data
form
percentile
treatment
ladder of powers
3. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
matching
units
strength
subset
4. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
distribution
stratified random sample
scatterplots
skewed
5. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
outliers
quantitative variable
quartile
simple random sample
6. Numerically valued attribute of a model
parameter
context
ladder of powers
matching
7. The most basic situation in a simulation in which something happens at random
matched
simulation component
sampling variability
regression line
8. Displays data that change over time
trial
symmetric
scatterplots
timeplot
9. An event is this if we know what outcomes could happen - but not which particular values will happen
experimental units
parameter
random
tails
10. The ____ we care about most is straight
predicted value
population
case
form
11. A distribution that's roughly flat
statistic
lurking variable
unimodal
uniform
12. Bias introduced to a sample when a large fraction of those sampled fails to respond
bimodal
double-blind
quantitative variable
nonresponse bias
13. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
quantitative variable
frequency table
percentile
boxplot
14. A representative subset of a population - examined in hope of learning about the population
factor
population
distribution
sample
15. Extreme values that don't appear to belong with the rest of the data
outliers
extrapolation
histogram
independence
16. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
range
outliers
representative
17. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
random
lurking variable
level
dotplot
18. Holds information about the same characteristic for many cases
simple random sample
marginal distribution
standard normal model
variable
19. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
z-score
correlation
representative
20. When an observed difference is too large for us to believe that is is likely to have occurred naturally
correlation
leverage
statistically significant
stem-and-leaf display
21. 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
scatterplots
median
r2
frequency table
22. A numerical summary of how tightly the values are clustered around the 'center'
spread
data table
outliers
standard normal model
23. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
lurking variable
rescaling
variance
68-95-99.7 rule
24. A variable in which the numbers act as numerical values; always has units
single-blind
direction
quantitative variable
symmetric
25. The difference between the first and third quartiles
placebo effect
interquartile range
form
unimodal
26. The natural tendency of randomly drawn samples to differ
percentile
frequency table
convenience sample
sampling variability
27. When averages are taken across different groups - they can appear to contradict the overall averages
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28. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
unimodal
strength
sampling variability
z-score
29. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
area principle
intercept
context
predicted value
30. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
conditional distribution
bimodal
control group
variance
31. Sampling schemes that combine several sampling methods
systematic sample
multistage sample
random assignment
parameter
32. An individual about whom or which we have data
comparing distributions
outlier
case
convenience sample
33. Systematically recorded information - whether numbers or labels - together with its context
simulation component
outlier
sampling frame
data
34. 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
data
shifting
categorical variable
bimodal
35. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
control group
experimental units
random numbers
random assignment
36. All experimental units have an equal chance of receiving any treatment
completely randomized design
frequency table
standard deviation
conditional distribution
37. A list of individuals from whom the sample is drawn
bimodal
randomization
standardizing
sampling frame
38. A numerically valued attribute of a model for a population
shape
nonresponse bias
population parameter
observational study
39. 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
blinding
undercoverage
skewed
outlier
40. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
predicted value
response bias
spread
voluntary response bias
41. Gives the possible values of the variable and the relative frequency of each value
5-number summary
retrospective study
distribution
response variable
42. Useful family of models for unimodal - symmetric distributions
quartile
voluntary response bias
normal model
unimodal
43. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
predicted value
statistic
residuals
randomization
44. When omitting a point from the data results in a very different regression model - the point is an ____
influential point
least squares
variable
form
45. When either those who could influence or evaluate the results is blinded
tails
sampling frame
single-blind
simple random sample
46. The entire group of individuals or instances about whom we hope to learn
voluntary response bias
case
population
stem-and-leaf display
47. Graphs a dot for each case against a single axis
sampling frame
data
dotplot
linear model
48. Individuals on whom an experiment is performed
experimental units
prospective study
experiment
slope
49. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
strength
lurking variable
sampling variability
spread
50. In a statistical display - each data value should be represented by the same amount of area
independence
area principle
census
experimental units