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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. Design Randomization occurring within blocks
form
randomized block
outlier
factor
2. 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
regression to the mean
random assignment
contingency table
statistically significant
3. 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
extrapolation
regression line
trial
conditional distribution
4. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
double-blind
rescaling
placebo effect
bar chart
5. 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
variable
shifting
comparing distributions
representative
6. 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
matched
histogram
variance
68-95-99.7 rule
7. A variable that names categories (whether with words or numerals)
model
population
direction
categorical variable
8. The best defense against bias - in which each individual is given a fair - random chance of selection
response bias
outliers
randomization
contingency table
9. An equation of the form y-hat = b0 + b1x
trial
linear model
experimental units
single-blind
10. A study based on data in which no manipulation of factors has been employed
quartile
observational study
68-95-99.7 rule
experimental units
11. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
stem-and-leaf display
boxplot
completely randomized design
response variable
12. The ith ___ is the number that falls above i% of the data
percentile
control group
normal percentile
dotplot
13. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
population
experiment
pie chart
bimodal
14. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
standardizing
range
population
single-blind
15. Consists of the individuals who are conveniently available
quartile
observational study
units
convenience sample
16. Value calculated from data to summarize aspects of the data
statistic
block
placebo effect
response bias
17. The square root of the variance
standard deviation
multimodal
convenience sample
trial
18. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
regression line
re-express data
outlier
center
19. An individual about whom or which we have data
single-blind
case
undercoverage
area principle
20. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
direction
unimodal
re-express data
blinding
21. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
sampling variability
strength
units
lurking variable
22. Shows a bar representing the count of each category in a categorical variable
double-blind
bar chart
marginal distribution
outliers
23. Anything in a survey design that influences response
response bias
retrospective study
data
quartile
24. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
factor
least squares
changing center and spread
confounded
25. The natural tendency of randomly drawn samples to differ
simulation
placebo effect
sampling variability
interquartile range
26. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
marginal distribution
experiment
response bias
intercept
27. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
systematic sample
spread
residuals
sample survey
28. 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
cluster sample
shifting
multimodal
29. The ____ we care about most is straight
frequency table
prospective study
68-95-99.7 rule
form
30. The distribution of a variable restricting the who to consider only a smaller group of individuals
population parameter
conditional distribution
scatterplots
completely randomized design
31. 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
mode
regression line
statistically significant
stem-and-leaf display
32. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
systematic sample
data table
observational study
simple random sample
33. When omitting a point from the data results in a very different regression model - the point is an ____
5-number summary
median
influential point
unimodal
34. In a statistical display - each data value should be represented by the same amount of area
direction
skewed
linear model
area principle
35. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
changing center and spread
systematic sample
shape
simulation
36. A sample that consists of the entire population
variable
center
census
contingency table
37. An observational study in which subjects are followed to observe future outcomes
random numbers
simulation component
prospective study
double-blind
38. 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
mode
68-95-99.7 rule
matching
random assignment
39. A numerically valued attribute of a model for a population
voluntary response bias
tails
population parameter
z-score
40. 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
correlation
direction
convenience sample
regression line
41. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
center
cluster sample
random
42. Holds information about the same characteristic for many cases
variable
normal model
r2
distribution
43. A representative subset of a population - examined in hope of learning about the population
scatterplots
dotplot
population
sample
44. Systematically recorded information - whether numbers or labels - together with its context
shape
data
confounded
response bias
45. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
statistic
stem-and-leaf display
center
extrapolation
46. Summarized with the standard deviation - interquartile range - and range
influential point
lurking variable
spread
statistic
47. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
nonresponse bias
frequency table
random
strength
48. When averages are taken across different groups - they can appear to contradict the overall averages
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49. The difference between the lowest and highest values in a data set
factor
range
randomized block
median
50. The number of individuals in a sample
sample survey
sample size
categorical variable
experimental units