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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 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
range
sample
matched
2. Shows a bar representing the count of each category in a categorical variable
bar chart
case
shape
trial
3. A variable whose levels are controlled by the experimenter
subset
factor
control group
standardizing
4. Value calculated from data to summarize aspects of the data
normal probability plot
systematic sample
random
statistic
5. A distribution that's roughly flat
uniform
spread
census
model
6. The sum of squared deviations from the mean - divided by the count minus one
response variable
randomized block
pie chart
variance
7. Design Randomization occurring within blocks
random assignment
frequency table
standard deviation
randomized block
8. Shows quantitative data values in a way that sketches the distribution of the data
stem-and-leaf display
placebo effect
population
shifting
9. A sample that consists of the entire population
mean
slope
single-blind
census
10. A variable that names categories (whether with words or numerals)
factor
comparing distributions
model
categorical variable
11. An equation of the form y-hat = b0 + b1x
predicted value
census
linear model
multimodal
12. A point that does not fit the overall pattern seen in the scatterplot
voluntary response bias
population parameter
outlier
confounded
13. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small
tails
leverage
conditional distribution
population parameter
14. Summarized with the mean or the median
center
prospective study
units
sampling variability
15. An observational study in which subjects are followed to observe future outcomes
uniform
changing center and spread
categorical variable
prospective study
16. The square root of the variance
experiment
rescaling
standard deviation
z-score
17. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
normal model
sample survey
center
regression to the mean
18. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed
observational study
response
percentile
mode
19. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
intercept
simulation component
shifting
contingency table
20. 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
randomized block
spread
histogram
case
21. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
independence
shape
randomization
double-blind
22. Bias introduced to a sample when a large fraction of those sampled fails to respond
sample survey
nonresponse bias
completely randomized design
population parameter
23. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
tails
boxplot
normal model
stem-and-leaf display
24. Numerically valued attribute of a model
tails
parameter
spread
confounded
25. Gives the possible values of the variable and the frequency or relative frequency of each value
distribution
standard deviation
comparing distributions
marginal distribution
26. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
multistage sample
standard deviation
dotplot
frequency table
27. 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
representative
extrapolation
influential point
context
28. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
experimental units
response variable
units
systematic sample
29. Individuals on whom an experiment is performed
double-blind
bimodal
experimental units
treatment
30. A numerical measure of the direction and strength of a linear association
correlation
random
normal probability plot
factor
31. Gives the possible values of the variable and the relative frequency of each value
matched
distribution
subset
convenience sample
32. An event is this if we know what outcomes could happen - but not which particular values will happen
variable
random
residuals
case
33. The specific values that the experimenter chooses for a factor
level
statistic
standard deviation
frequency table
34. A treatment known to have no effect - administered so that all groups experience the same conditions
placebo
systematic sample
unimodal
bimodal
35. An equation or formula that simplifies and represents reality
normal percentile
nonresponse bias
response
model
36. When averages are taken across different groups - they can appear to contradict the overall averages
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37. The distribution of a variable restricting the who to consider only a smaller group of individuals
variance
shifting
conditional distribution
random assignment
38. Manipulates factor levels to create treatments - randomly assigns subjects to these treatment levels - and then compares the responses of the subject groups across treatment levels
placebo
normal probability plot
experiment
distribution
39. A variable whose values are compared across different treatments
response
variable
normal percentile
ladder of powers
40. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
context
r2
confounded
population
41. A variable in which the numbers act as numerical values; always has units
subset
response
quantitative variable
convenience sample
42. A sample drawn by selecting individuals systematically from a sampling frame
systematic sample
68-95-99.7 rule
placebo effect
rescaling
43. The ith ___ is the number that falls above i% of the data
outcome
double-blind
comparing distributions
percentile
44. An individual about whom or which we have data
case
undercoverage
sample survey
sampling frame
45. All experimental units have an equal chance of receiving any treatment
multistage sample
random
residuals
completely randomized design
46. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
simple random sample
dotplot
voluntary response bias
47. A study based on data in which no manipulation of factors has been employed
random
simulation component
observational study
control group
48. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted
correlation
extrapolation
sample size
units
49. Shows the relationship between two quantitative variables measured on the same cases
sample survey
scatterplots
random
data table
50. 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
z-score
form
shifting
voluntary response bias