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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. A variable whose values are compared across different treatments
response
statistic
form
conditional distribution
2. 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
matching
population parameter
r2
68-95-99.7 rule
3. The ____ we care about most is straight
variance
case
form
placebo effect
4. To be valid - an experiment must assign experimental units to treatment groups at random
outlier
random assignment
representative
data
5. The middle value with half of the data above and half below it
median
case
z-score
least squares
6. A treatment known to have no effect - administered so that all groups experience the same conditions
single-blind
data table
spread
placebo
7. Displays data that change over time
quantitative variable
sample
timeplot
symmetric
8. Shows a bar representing the count of each category in a categorical variable
outlier
representative
bar chart
retrospective study
9. A sampling design in which entire groups are chosen at random
pie chart
cluster sample
multistage sample
dotplot
10. Graphs a dot for each case against a single axis
dotplot
treatment
census
frequency table
11. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
changing center and spread
direction
placebo
strength
12. When both those who could influence and evaluate the results are blinded
frequency table
double-blind
range
matched
13. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
ladder of powers
sampling frame
residuals
dotplot
14. Value calculated from data to summarize aspects of the data
statistic
ladder of powers
response variable
strength
15. 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
data table
percentile
marginal distribution
factor
16. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
standardizing
standardized value
lurking variable
bias
17. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
standard normal model
sample
area principle
18. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
normal model
treatment
symmetric
quantitative variable
19. All experimental units have an equal chance of receiving any treatment
randomization
sample
completely randomized design
predicted value
20. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
multistage sample
randomized block
5-number summary
data table
21. 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
case
double-blind
matched
lurking variable
22. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
treatment
regression line
quartile
frequency table
23. Found by summing all the data values and dividing by the count
distribution
response variable
comparing distributions
mean
24. Places in order the effects that many re-expressions have on the data
random
ladder of powers
re-express data
linear model
25. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
influential point
linear model
retrospective study
independence
26. A study based on data in which no manipulation of factors has been employed
experiment
outcome
observational study
standardized value
27. An observational study in which subjects are followed to observe future outcomes
experimental units
prospective study
standard normal model
blinding
28. Values of this record the results of each trial with respect to what we were interested in
direction
response variable
median
regression to the mean
29. An individual about whom or which we have data
confounded
z-score
case
data
30. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
tails
bias
simple random sample
matched
31. When doing this - consider their shape - center - and spread
r2
variance
factor
comparing distributions
32. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
context
outliers
control group
outlier
33. Gives the possible values of the variable and the frequency or relative frequency of each value
percentile
distribution
marginal distribution
block
34. The difference between the first and third quartiles
stem-and-leaf display
variance
pie chart
interquartile range
35. Shows the relationship between two quantitative variables measured on the same cases
experimental units
scatterplots
area principle
stratified random sample
36. Shows quantitative data values in a way that sketches the distribution of the data
placebo effect
statistically significant
stem-and-leaf display
cluster sample
37. An equation or formula that simplifies and represents reality
double-blind
trial
model
comparing distributions
38. A variable that names categories (whether with words or numerals)
symmetric
r2
statistic
categorical variable
39. The difference between the lowest and highest values in a data set
range
parameter
spread
case
40. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related
subset
simulation component
lurking variable
percentile
41. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
variable
placebo
context
42. When an observed difference is too large for us to believe that is is likely to have occurred naturally
center
case
intercept
statistically significant
43. The most basic situation in a simulation in which something happens at random
representative
simulation component
slope
completely randomized design
44. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
sample
simulation component
sample survey
blinding
45. Doing this is equivalent to changing its units
control group
outlier
matched
changing center and spread
46. 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
leverage
level
case
47. 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
blinding
68-95-99.7 rule
slope
simulation
48. A numerical measure of the direction and strength of a linear association
regression to the mean
correlation
sampling variability
shifting
49. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
unimodal
median
retrospective study
rescaling
50. 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
mean
experiment
least squares
direction