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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. An individual result of a component of a simulation
correlation
case
outcome
predicted value
2. 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
normal probability plot
treatment
data table
normal percentile
3. An observational study in which subjects are followed to observe future outcomes
standard normal model
bias
categorical variable
prospective study
4. The difference between the lowest and highest values in a data set
conditional distribution
range
context
cluster sample
5. Numerically valued attribute of a model
parameter
standard normal model
scatterplots
uniform
6. The natural tendency of randomly drawn samples to differ
normal model
statistic
simulation
sampling variability
7. 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
histogram
response bias
contingency table
matched
8. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
sample survey
percentile
independence
multimodal
9. 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
population
pie chart
mode
10. When both those who could influence and evaluate the results are blinded
normal model
double-blind
marginal distribution
bias
11. Summarized with the standard deviation - interquartile range - and range
census
least squares
spread
convenience sample
12. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
units
lurking variable
normal percentile
form
13. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
observational study
regression to the mean
5-number summary
ladder of powers
14. A variable that names categories (whether with words or numerals)
categorical variable
census
standardizing
parameter
15. A sample drawn by selecting individuals systematically from a sampling frame
direction
bar chart
systematic sample
simulation component
16. The number of individuals in a sample
mean
marginal distribution
variable
sample size
17. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
trial
control group
systematic sample
treatment
18. When averages are taken across different groups - they can appear to contradict the overall averages
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19. The specific values that the experimenter chooses for a factor
factor
direction
level
normal model
20. A numerical summary of how tightly the values are clustered around the 'center'
single-blind
spread
scatterplots
skewed
21. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
single-blind
random numbers
lurking variable
retrospective study
22. Distributions with more than two modes
multimodal
unimodal
random
mean
23. Consists of the individuals who are conveniently available
lurking variable
distribution
convenience sample
correlation
24. 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
random numbers
correlation
model
68-95-99.7 rule
25. A representative subset of a population - examined in hope of learning about the population
sample
simulation component
experiment
extrapolation
26. Displays data that change over time
timeplot
normal percentile
quantitative variable
multimodal
27. A numerical measure of the direction and strength of a linear association
correlation
retrospective study
case
range
28. The sum of squared deviations from the mean - divided by the count minus one
comparing distributions
statistic
variance
marginal distribution
29. The most basic situation in a simulation in which something happens at random
multistage sample
simulation component
bimodal
voluntary response bias
30. The ____ we care about most is straight
form
interquartile range
skewed
r2
31. A list of individuals from whom the sample is drawn
changing center and spread
level
extrapolation
sampling frame
32. 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
observational study
context
form
outliers
33. Graphs a dot for each case against a single axis
dotplot
categorical variable
random
prospective study
34. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
center
placebo effect
random
extrapolation
35. Bias introduced to a sample when a large fraction of those sampled fails to respond
nonresponse bias
histogram
percentile
stratified random sample
36. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
least squares
data table
regression line
matched
37. A study based on data in which no manipulation of factors has been employed
independence
multistage sample
categorical variable
observational study
38. Control - randomize - replicate - block
response bias
placebo effect
principles of experimental design
quantitative variable
39. Shows quantitative data values in a way that sketches the distribution of the data
statistic
distribution
stem-and-leaf display
block
40. An equation of the form y-hat = b0 + b1x
linear model
randomization
normal model
lurking variable
41. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
retrospective study
scatterplots
regression line
shape
42. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
normal probability plot
marginal distribution
subset
voluntary response bias
43. The ith ___ is the number that falls above i% of the data
completely randomized design
simulation
percentile
z-score
44. An equation or formula that simplifies and represents reality
placebo
matched
model
experiment
45. An event is this if we know what outcomes could happen - but not which particular values will happen
r2
quantitative variable
matched
random
46. Distributions with two modes
randomization
symmetric
double-blind
bimodal
47. In a statistical display - each data value should be represented by the same amount of area
contingency table
data table
area principle
nonresponse bias
48. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
direction
boxplot
strength
statistically significant
49. The entire group of individuals or instances about whom we hope to learn
population
skewed
timeplot
bar chart
50. The sequence of several components representing events that we are pretending will take place
trial
completely randomized design
re-express data
contingency table