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Test your basic knowledge |
AP Statistics Vocab
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Subjects
:
statistics
,
ap
Instructions:
Answer 50 questions in 15 minutes.
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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. 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
parameter
representative
slope
systematic sample
2. The natural tendency of randomly drawn samples to differ
sampling variability
distribution
center
model
3. The distribution of a variable restricting the who to consider only a smaller group of individuals
random numbers
standardized value
conditional distribution
lurking variable
4. Individuals on whom an experiment is performed
center
distribution
undercoverage
experimental units
5. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
lurking variable
normal percentile
simulation
area principle
6. Control - randomize - replicate - block
slope
sampling frame
intercept
principles of experimental design
7. A distribution is this if it's not symmetric and one tail stretches out farther than the other
data table
placebo
data
skewed
8. The specific values that the experimenter chooses for a factor
placebo
convenience sample
level
simpson's paradox
9. An equation of the form y-hat = b0 + b1x
linear model
experiment
mean
comparing distributions
10. Values of this record the results of each trial with respect to what we were interested in
interquartile range
response variable
principles of experimental design
lurking variable
11. Distributions with more than two modes
sampling variability
pie chart
context
multimodal
12. Extreme values that don't appear to belong with the rest of the data
outliers
sampling frame
lurking variable
cluster sample
13. The difference between the lowest and highest values in a data set
uniform
range
simpson's paradox
simulation
14. To be valid - an experiment must assign experimental units to treatment groups at random
random assignment
timeplot
68-95-99.7 rule
outlier
15. The difference between the first and third quartiles
interquartile range
mode
histogram
standardizing
16. Shows the relationship between two quantitative variables measured on the same cases
voluntary response bias
bar chart
scatterplots
changing center and spread
17. The ____ we care about most is straight
frequency table
randomized block
form
independence
18. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
retrospective study
direction
statistically significant
center
19. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
random assignment
comparing distributions
regression to the mean
rescaling
20. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
sample size
data
stratified random sample
trial
21. The middle value with half of the data above and half below it
standard deviation
median
mean
systematic sample
22. When omitting a point from the data results in a very different regression model - the point is an ____
frequency table
rescaling
influential point
parameter
23. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
convenience sample
units
least squares
sampling variability
24. A numerical summary of how tightly the values are clustered around the 'center'
stem-and-leaf display
spread
linear model
frequency table
25. Bias introduced to a sample when a large fraction of those sampled fails to respond
outlier
matched
nonresponse bias
statistically significant
26. A treatment known to have no effect - administered so that all groups experience the same conditions
observational study
sample survey
placebo
shifting
27. A representative subset of a population - examined in hope of learning about the population
shifting
tails
representative
sample
28. 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
model
marginal distribution
sample survey
range
29. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
standard deviation
treatment
quantitative variable
confounded
30. Displays data that change over time
standard deviation
timeplot
parameter
form
31. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
pie chart
mode
standardizing
categorical variable
32. The square of the correlation between y and x; gives the fraction of the variability of y accounted for by the least squares linear regression on x; an overall measure of how successful the regression is in linearly relating y to x
r2
placebo effect
standardizing
symmetric
33. 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
ladder of powers
slope
histogram
placebo
34. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
intercept
distribution
outlier
range
35. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
parameter
range
matching
outlier
36. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
case
level
control group
form
37. Systematically recorded information - whether numbers or labels - together with its context
simulation
statistically significant
stem-and-leaf display
data
38. A numerically valued attribute of a model for a population
population parameter
response variable
nonresponse bias
z-score
39. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
sample survey
uniform
normal model
outlier
40. 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
quantitative variable
least squares
shifting
data table
41. Shows a bar representing the count of each category in a categorical variable
standardized value
sample
bar chart
spread
42. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
least squares
units
shape
bar chart
43. The entire group of individuals or instances about whom we hope to learn
sample
independence
population
rescaling
44. 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
simulation
ladder of powers
boxplot
outlier
45. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
symmetric
sampling variability
categorical variable
sample
46. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
independence
contingency table
re-express data
slope
47. Value found by subtracting the mean and dividing by the standard deviation
standardized value
marginal distribution
placebo
changing center and spread
48. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
distribution
bar chart
frequency table
shifting
49. An event is this if we know what outcomes could happen - but not which particular values will happen
skewed
census
random
representative
50. The sequence of several components representing events that we are pretending will take place
convenience sample
form
trial
frequency table
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