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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. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
bias
single-blind
normal model
2. Found by substituting the x-value in the regression equation; they're the values on the fitted line
distribution
simple random sample
predicted value
68-95-99.7 rule
3. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
retrospective study
matched
standard deviation
data table
4. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
distribution
stem-and-leaf display
rescaling
bimodal
5. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
population parameter
center
normal probability plot
outlier
6. Bias introduced to a sample when a large fraction of those sampled fails to respond
mode
nonresponse bias
retrospective study
placebo
7. 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
marginal distribution
parameter
histogram
nonresponse bias
8. A variable that names categories (whether with words or numerals)
categorical variable
representative
r2
multimodal
9. A variable in which the numbers act as numerical values; always has units
quantitative variable
random assignment
stratified random sample
census
10. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
units
comparing distributions
normal percentile
residuals
11. When an observed difference is too large for us to believe that is is likely to have occurred naturally
standardizing
spread
statistically significant
response variable
12. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
statistic
spread
random numbers
confounded
13. Holds information about the same characteristic for many cases
cluster sample
variable
trial
outlier
14. An individual result of a component of a simulation
conditional distribution
outcome
control group
treatment
15. The ith ___ is the number that falls above i% of the data
single-blind
retrospective study
center
percentile
16. All experimental units have an equal chance of receiving any treatment
simpson's paradox
completely randomized design
z-score
dotplot
17. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
symmetric
units
shifting
factor
18. 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
randomization
shifting
variable
median
19. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
random assignment
bias
placebo effect
simulation
20. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
outlier
residuals
retrospective study
variable
21. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
re-express data
independence
response
control group
22. Individuals on whom an experiment is performed
single-blind
experimental units
principles of experimental design
prospective study
23. 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
percentile
shifting
undercoverage
bar chart
24. The difference between the first and third quartiles
systematic sample
rescaling
statistic
interquartile range
25. A study based on data in which no manipulation of factors has been employed
spread
experiment
observational study
subset
26. A sampling design in which entire groups are chosen at random
pie chart
cluster sample
population
interquartile range
27. 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
blinding
normal probability plot
spread
response
28. The best defense against bias - in which each individual is given a fair - random chance of selection
blinding
sampling variability
randomization
population
29. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
interquartile range
statistic
confounded
random
30. When averages are taken across different groups - they can appear to contradict the overall averages
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31. Distributions with two modes
simpson's paradox
standard deviation
lurking variable
bimodal
32. 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
comparing distributions
subset
leverage
simulation
33. Displays data that change over time
experiment
control group
timeplot
quantitative variable
34. A normal model with a mean of 0 and a standard deviation of 1
normal model
outliers
z-score
standard normal model
35. A representative subset of a population - examined in hope of learning about the population
lurking variable
sample
outliers
strength
36. The entire group of individuals or instances about whom we hope to learn
slope
experiment
placebo effect
population
37. Places in order the effects that many re-expressions have on the data
factor
distribution
interquartile range
ladder of powers
38. A list of individuals from whom the sample is drawn
experimental units
distribution
sample
sampling frame
39. 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
direction
marginal distribution
independence
spread
40. Sampling schemes that combine several sampling methods
regression line
simpson's paradox
spread
multistage sample
41. When either those who could influence or evaluate the results is blinded
residuals
scatterplots
regression line
single-blind
42. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
confounded
randomization
regression to the mean
predicted value
43. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
representative
regression to the mean
normal percentile
pie chart
44. 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
correlation
voluntary response bias
matching
45. To be valid - an experiment must assign experimental units to treatment groups at random
blinding
random assignment
parameter
stratified random sample
46. A treatment known to have no effect - administered so that all groups experience the same conditions
representative
placebo
outlier
systematic sample
47. The ____ we care about most is straight
predicted value
pie chart
form
mode
48. The distribution of a variable restricting the who to consider only a smaller group of individuals
mean
direction
conditional distribution
lurking variable
49. Found by summing all the data values and dividing by the count
response
simulation
slope
mean
50. 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
matched
experiment
multimodal
systematic sample