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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. An arrangement of data in which each row represents a case and each column represents a variable
random numbers
variance
placebo
data table
2. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
residuals
systematic sample
outlier
stratified random sample
3. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
normal model
randomized block
5-number summary
outlier
4. An event is this if we know what outcomes could happen - but not which particular values will happen
random
quartile
stratified random sample
sample size
5. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
standardized value
treatment
randomized block
6. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
prospective study
strength
quartile
parameter
7. When doing this - consider their shape - center - and spread
comparing distributions
systematic sample
undercoverage
mean
8. A variable in which the numbers act as numerical values; always has units
quantitative variable
independence
random
random numbers
9. All experimental units have an equal chance of receiving any treatment
random
experiment
completely randomized design
strength
10. The specific values that the experimenter chooses for a factor
changing center and spread
systematic sample
level
timeplot
11. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
factor
voluntary response bias
intercept
tails
12. A treatment known to have no effect - administered so that all groups experience the same conditions
boxplot
normal probability plot
slope
placebo
13. The most basic situation in a simulation in which something happens at random
pie chart
simple random sample
sampling frame
simulation component
14. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
data table
stem-and-leaf display
experimental units
treatment
15. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
random assignment
slope
matched
16. In a statistical display - each data value should be represented by the same amount of area
center
confounded
area principle
convenience sample
17. A distribution that's roughly flat
shifting
placebo effect
uniform
voluntary response bias
18. 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
shifting
single-blind
trial
undercoverage
19. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
independence
categorical variable
sample
matched
20. A numerically valued attribute of a model for a population
population parameter
rescaling
placebo
normal probability plot
21. Systematically recorded information - whether numbers or labels - together with its context
correlation
simpson's paradox
data
population parameter
22. Distributions with two modes
convenience sample
histogram
bimodal
standard deviation
23. The middle value with half of the data above and half below it
prospective study
rescaling
bar chart
median
24. A variable whose levels are controlled by the experimenter
standard normal model
marginal distribution
standard deviation
factor
25. Shows the relationship between two quantitative variables measured on the same cases
scatterplots
variable
random assignment
observational study
26. Numerically valued attribute of a model
response variable
parameter
spread
data table
27. When averages are taken across different groups - they can appear to contradict the overall averages
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28. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
histogram
simpson's paradox
slope
blinding
29. The square root of the variance
shifting
standard deviation
context
range
30. Consists of the individuals who are conveniently available
unimodal
completely randomized design
center
convenience sample
31. Design Randomization occurring within blocks
units
skewed
standard deviation
randomized block
32. 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
context
slope
factor
standardized value
33. Value calculated from data to summarize aspects of the data
confounded
level
random assignment
statistic
34. When either those who could influence or evaluate the results is blinded
random assignment
influential point
single-blind
r2
35. A list of individuals from whom the sample is drawn
sampling frame
lurking variable
observational study
outcome
36. The number of individuals in a sample
population
sample size
randomized block
variable
37. When an observed difference is too large for us to believe that is is likely to have occurred naturally
mean
data
statistically significant
trial
38. The natural tendency of randomly drawn samples to differ
subset
normal model
sampling variability
data
39. Control - randomize - replicate - block
random
r2
census
principles of experimental design
40. Doing this is equivalent to changing its units
response variable
changing center and spread
regression line
population parameter
41. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
quartile
simple random sample
random numbers
spread
42. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
range
intercept
shifting
normal model
43. A sample drawn by selecting individuals systematically from a sampling frame
systematic sample
experimental units
outlier
response
44. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed
z-score
mode
frequency table
bar chart
45. The entire group of individuals or instances about whom we hope to learn
population
sampling frame
simulation component
residuals
46. 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
retrospective study
statistically significant
lurking variable
shifting
47. A sampling design in which entire groups are chosen at random
lurking variable
matching
scatterplots
cluster sample
48. Gives the possible values of the variable and the relative frequency of each value
distribution
outliers
random numbers
placebo
49. Shows quantitative data values in a way that sketches the distribution of the data
timeplot
conditional distribution
stem-and-leaf display
outcome
50. Any attempt to force a sample to resemble specified attributes of the population
statistic
matching
regression to the mean
linear model