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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 experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
standardizing
direction
control group
ladder of powers
2. Individuals on whom an experiment is performed
intercept
experimental units
5-number summary
control group
3. Value calculated from data to summarize aspects of the data
statistic
experiment
outliers
principles of experimental design
4. 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
undercoverage
strength
systematic sample
range
5. When doing this - consider their shape - center - and spread
response bias
multistage sample
standardizing
comparing distributions
6. 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
experiment
normal probability plot
mode
simulation component
7. An equation or formula that simplifies and represents reality
variable
model
convenience sample
mean
8. Consists of the individuals who are conveniently available
standardized value
convenience sample
shifting
data
9. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
stratified random sample
experimental units
sample survey
10. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
convenience sample
sample
random numbers
simple random sample
11. Extreme values that don't appear to belong with the rest of the data
systematic sample
unimodal
intercept
outliers
12. The difference between the lowest and highest values in a data set
completely randomized design
range
random
uniform
13. A study based on data in which no manipulation of factors has been employed
observational study
bias
case
units
14. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
placebo effect
bias
cluster sample
predicted value
15. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
factor
normal percentile
stratified random sample
data
16. A representative subset of a population - examined in hope of learning about the population
random
regression line
boxplot
sample
17. Sampling schemes that combine several sampling methods
multistage sample
quartile
statistically significant
bar chart
18. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
response bias
placebo effect
outlier
z-score
19. Distributions with two modes
simpson's paradox
influential point
range
bimodal
20. A numerical summary of how tightly the values are clustered around the 'center'
re-express data
confounded
spread
prospective study
21. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
linear model
residuals
pie chart
scatterplots
22. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
stem-and-leaf display
completely randomized design
conditional distribution
23. Useful family of models for unimodal - symmetric distributions
normal probability plot
standardizing
normal model
spread
24. The ith ___ is the number that falls above i% of the data
percentile
changing center and spread
sample survey
mean
25. 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
context
outliers
extrapolation
response variable
26. Uses adjacent bars to show the distribution of vales in a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in an interval of values
histogram
population
center
convenience sample
27. 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
sample
placebo
intercept
28. 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
placebo
sample size
quartile
convenience sample
29. Gives the possible values of the variable and the frequency or relative frequency of each value
randomized block
population
distribution
center
30. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
random
distribution
re-express data
31. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
context
subset
blinding
pie chart
32. When groups of experimental units are similar - it is a good idea to gather them together into these
prospective study
standardizing
block
standardized value
33. Shows quantitative data values in a way that sketches the distribution of the data
parameter
slope
center
stem-and-leaf display
34. Displays counts and - sometimes - percentages of individuals falling into named categories on two or more variables; categorizes the individuals on all variables at once - to reveal possible patterns in one variable that may be contingent on the cate
statistically significant
marginal distribution
re-express data
contingency table
35. When both those who could influence and evaluate the results are blinded
median
multimodal
lurking variable
double-blind
36. Shows a bar representing the count of each category in a categorical variable
prospective study
bar chart
area principle
changing center and spread
37. When averages are taken across different groups - they can appear to contradict the overall averages
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38. Doing this is equivalent to changing its units
placebo effect
statistic
changing center and spread
distribution
39. An individual about whom or which we have data
randomization
5-number summary
case
trial
40. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
context
random
changing center and spread
41. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
intercept
voluntary response bias
random numbers
simple random sample
42. 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
distribution
rescaling
bias
simulation
43. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
standardizing
frequency table
standard deviation
area principle
44. A distribution that's roughly flat
uniform
sample
sample size
spread
45. Holds information about the same characteristic for many cases
variable
experiment
randomization
regression line
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
response
normal probability plot
shifting
shape
47. Summarized with the mean or the median
area principle
center
z-score
representative
48. 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
matched
population
least squares
68-95-99.7 rule
49. Places in order the effects that many re-expressions have on the data
ladder of powers
correlation
randomization
sample
50. Displays data that change over time
normal percentile
prospective study
dotplot
timeplot