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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. Values of this record the results of each trial with respect to what we were interested in
standardizing
response variable
frequency table
convenience sample
2. A point that does not fit the overall pattern seen in the scatterplot
statistic
outlier
population
multistage sample
3. 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
regression to the mean
outliers
spread
context
4. A variable that names categories (whether with words or numerals)
least squares
categorical variable
direction
conditional distribution
5. Numerically valued attribute of a model
frequency table
normal probability plot
retrospective study
parameter
6. Distributions with more than two modes
standard normal model
multimodal
parameter
range
7. An observational study in which subjects are followed to observe future outcomes
prospective study
re-express data
lurking variable
outliers
8. When omitting a point from the data results in a very different regression model - the point is an ____
bias
influential point
convenience sample
changing center and spread
9. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
control group
variable
symmetric
stratified random sample
10. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
categorical variable
factor
symmetric
11. The ith ___ is the number that falls above i% of the data
outlier
shape
principles of experimental design
percentile
12. Found by summing all the data values and dividing by the count
multimodal
mean
randomized block
prospective study
13. Value calculated from data to summarize aspects of the data
block
completely randomized design
lurking variable
statistic
14. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
residuals
pie chart
categorical variable
unimodal
15. A numerical measure of the direction and strength of a linear association
correlation
standard deviation
matching
strength
16. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
predicted value
frequency table
systematic sample
sampling variability
17. Control - randomize - replicate - block
mean
symmetric
undercoverage
principles of experimental design
18. Shows a bar representing the count of each category in a categorical variable
random
bar chart
tails
units
19. The sum of squared deviations from the mean - divided by the count minus one
nonresponse bias
changing center and spread
correlation
variance
20. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
r2
regression line
shifting
21. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
experimental units
form
control group
standard normal model
22. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
influential point
cluster sample
stem-and-leaf display
23. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
variable
sampling variability
center
random numbers
24. Shows the relationship between two quantitative variables measured on the same cases
median
confounded
scatterplots
response variable
25. In a statistical display - each data value should be represented by the same amount of area
case
area principle
outlier
intercept
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
spread
data
comparing distributions
histogram
27. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
blinding
sampling frame
least squares
28. Graphs a dot for each case against a single axis
dotplot
linear model
percentile
histogram
29. To be valid - an experiment must assign experimental units to treatment groups at random
extrapolation
sample size
simple random sample
random assignment
30. 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
slope
response
outlier
outlier
31. The natural tendency of randomly drawn samples to differ
random assignment
response bias
sampling variability
placebo effect
32. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
lurking variable
z-score
re-express data
normal probability plot
33. An arrangement of data in which each row represents a case and each column represents a variable
data table
statistic
systematic sample
boxplot
34. 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
regression line
matched
placebo effect
variance
35. A study based on data in which no manipulation of factors has been employed
observational study
categorical variable
distribution
response variable
36. When either those who could influence or evaluate the results is blinded
subset
intercept
placebo
single-blind
37. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
nonresponse bias
mean
voluntary response bias
normal percentile
38. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
re-express data
quantitative variable
dotplot
regression line
39. A variable in which the numbers act as numerical values; always has units
multimodal
uniform
scatterplots
quantitative variable
40. Gives the possible values of the variable and the relative frequency of each value
block
distribution
sampling variability
statistically significant
41. The ____ we care about most is straight
matched
form
contingency table
blinding
42. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
trial
strength
tails
sampling variability
43. The distribution of a variable restricting the who to consider only a smaller group of individuals
cluster sample
conditional distribution
principles of experimental design
normal model
44. An equation of the form y-hat = b0 + b1x
range
block
linear model
level
45. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
experiment
timeplot
convenience sample
shape
46. The difference between the first and third quartiles
normal percentile
lurking variable
interquartile range
matching
47. An event is this if we know what outcomes could happen - but not which particular values will happen
random
influential point
bar chart
marginal distribution
48. Found by substituting the x-value in the regression equation; they're the values on the fitted line
cluster sample
standardized value
predicted value
simulation component
49. Sampling schemes that combine several sampling methods
5-number summary
multistage sample
census
boxplot
50. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
double-blind
least squares
observational study
systematic sample