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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. The ith ___ is the number that falls above i% of the data
independence
retrospective study
percentile
placebo
2. 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
rescaling
slope
random
voluntary response bias
3. Summarized with the standard deviation - interquartile range - and range
trial
spread
simulation component
units
4. When omitting a point from the data results in a very different regression model - the point is an ____
population
lurking variable
influential point
factor
5. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
double-blind
extrapolation
stratified random sample
spread
6. A representative subset of a population - examined in hope of learning about the population
residuals
sample
timeplot
trial
7. Value found by subtracting the mean and dividing by the standard deviation
response
standardized value
mean
voluntary response bias
8. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
independence
outlier
systematic sample
single-blind
9. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
residuals
confounded
pie chart
level
10. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
normal model
response bias
least squares
11. 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
sample survey
conditional distribution
predicted value
12. The ____ we care about most is straight
uniform
form
68-95-99.7 rule
lurking variable
13. A point that does not fit the overall pattern seen in the scatterplot
5-number summary
matching
outlier
placebo effect
14. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
data table
intercept
control group
completely randomized design
15. All experimental units have an equal chance of receiving any treatment
completely randomized design
least squares
census
randomization
16. The number of individuals in a sample
contingency table
mean
sample size
statistic
17. A treatment known to have no effect - administered so that all groups experience the same conditions
center
placebo
5-number summary
tails
18. Gives the possible values of the variable and the frequency or relative frequency of each value
units
marginal distribution
distribution
level
19. 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
distribution
simple random sample
center
20. Numerically valued attribute of a model
parameter
matched
response variable
categorical variable
21. When an observed difference is too large for us to believe that is is likely to have occurred naturally
statistically significant
form
sample survey
unimodal
22. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
matched
statistically significant
rescaling
tails
23. 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
parameter
matched
boxplot
distribution
24. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
rescaling
spread
representative
re-express data
25. A variable that names categories (whether with words or numerals)
predicted value
categorical variable
population parameter
area principle
26. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
influential point
random assignment
simple random sample
strength
27. A variable whose values are compared across different treatments
response
outcome
observational study
nonresponse bias
28. A list of individuals from whom the sample is drawn
response variable
sampling frame
conditional distribution
rescaling
29. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
sampling variability
sample survey
observational study
random assignment
30. When doing this - consider their shape - center - and spread
re-express data
comparing distributions
leverage
variable
31. 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
simulation component
marginal distribution
block
normal probability plot
32. When either those who could influence or evaluate the results is blinded
sampling variability
double-blind
single-blind
spread
33. 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
center
extrapolation
intercept
34. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
units
cluster sample
random numbers
principles of experimental design
35. A study based on data in which no manipulation of factors has been employed
subset
influential point
percentile
observational study
36. An individual result of a component of a simulation
outcome
z-score
response
contingency table
37. Summarized with the mean or the median
center
response variable
blinding
control group
38. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
units
contingency table
statistic
response bias
39. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
categorical variable
regression to the mean
systematic sample
double-blind
40. The entire group of individuals or instances about whom we hope to learn
placebo
center
mean
population
41. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
comparing distributions
randomized block
independence
42. The distribution of a variable restricting the who to consider only a smaller group of individuals
conditional distribution
sampling frame
scatterplots
r2
43. The sequence of several components representing events that we are pretending will take place
trial
bar chart
confounded
undercoverage
44. Shows quantitative data values in a way that sketches the distribution of the data
blinding
trial
regression line
stem-and-leaf display
45. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
placebo effect
multistage sample
systematic sample
voluntary response bias
46. The middle value with half of the data above and half below it
normal model
conditional distribution
level
median
47. In a statistical display - each data value should be represented by the same amount of area
data
area principle
statistic
control group
48. Shows the relationship between two quantitative variables measured on the same cases
scatterplots
stratified random sample
randomized block
undercoverage
49. Displays data that change over time
range
slope
timeplot
placebo
50. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
double-blind
outcome
lurking variable
random numbers