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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. 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
range
nonresponse bias
experiment
double-blind
2. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
lurking variable
distribution
control group
units
3. Displays data that change over time
outliers
multimodal
timeplot
random assignment
4. A point that does not fit the overall pattern seen in the scatterplot
quantitative variable
sample
outlier
matched
5. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
units
matched
center
6. 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
data
marginal distribution
variable
leverage
7. Distributions with two modes
mode
random
simple random sample
bimodal
8. Numerically valued attribute of a model
outcome
random
ladder of powers
parameter
9. Sampling schemes that combine several sampling methods
uniform
random assignment
quantitative variable
multistage sample
10. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
correlation
mode
standard deviation
11. 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
standardizing
matched
r2
boxplot
12. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
pie chart
regression to the mean
mean
shape
13. Gives the possible values of the variable and the relative frequency of each value
standardized value
distribution
response
leverage
14. Shows a bar representing the count of each category in a categorical variable
slope
range
bar chart
standardizing
15. A variable whose values are compared across different treatments
statistic
distribution
response
extrapolation
16. When both those who could influence and evaluate the results are blinded
double-blind
nonresponse bias
regression line
lurking variable
17. When omitting a point from the data results in a very different regression model - the point is an ____
outcome
influential point
extrapolation
completely randomized design
18. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
random numbers
bias
population parameter
prospective study
19. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
confounded
center
sample
trial
20. Extreme values that don't appear to belong with the rest of the data
statistic
histogram
spread
outliers
21. A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population
undercoverage
trial
frequency table
regression line
22. When an observed difference is too large for us to believe that is is likely to have occurred naturally
prospective study
distribution
statistically significant
ladder of powers
23. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
undercoverage
response variable
outlier
simple random sample
24. Consists of the individuals who are conveniently available
random
treatment
spread
convenience sample
25. A representative subset of a population - examined in hope of learning about the population
nonresponse bias
predicted value
5-number summary
sample
26. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
mode
strength
scatterplots
randomization
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
random numbers
sample survey
context
linear model
28. Shows the relationship between two quantitative variables measured on the same cases
5-number summary
random numbers
scatterplots
principles of experimental design
29. Individuals on whom an experiment is performed
simple random sample
trial
random
experimental units
30. Summarized with the standard deviation - interquartile range - and range
spread
shifting
population
quartile
31. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
changing center and spread
standard deviation
confounded
statistically significant
32. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
symmetric
outlier
normal percentile
simulation
33. Places in order the effects that many re-expressions have on the data
normal model
representative
ladder of powers
random numbers
34. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
outlier
population parameter
normal percentile
units
35. The square root of the variance
trial
nonresponse bias
scatterplots
standard deviation
36. Bias introduced to a sample when a large fraction of those sampled fails to respond
experimental units
outcome
nonresponse bias
mean
37. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
lurking variable
changing center and spread
randomized block
z-score
38. When averages are taken across different groups - they can appear to contradict the overall averages
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39. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
response
interquartile range
sample size
tails
40. The middle value with half of the data above and half below it
dotplot
principles of experimental design
subset
median
41. The difference between the lowest and highest values in a data set
parameter
distribution
bar chart
range
42. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
response variable
re-express data
sample survey
frequency table
43. A list of individuals from whom the sample is drawn
sample size
multimodal
sampling frame
control group
44. A distribution that's roughly flat
experiment
uniform
strength
leverage
45. Holds information about the same characteristic for many cases
experiment
z-score
outlier
variable
46. Found by summing all the data values and dividing by the count
histogram
predicted value
5-number summary
mean
47. The entire group of individuals or instances about whom we hope to learn
population
systematic sample
symmetric
boxplot
48. The number of individuals in a sample
r2
5-number summary
sample size
sample survey
49. When groups of experimental units are similar - it is a good idea to gather them together into these
random assignment
standardizing
statistically significant
block
50. A variable that names categories (whether with words or numerals)
uniform
categorical variable
data
random assignment