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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 list of individuals from whom the sample is drawn
response bias
parameter
sampling frame
simple random sample
2. When averages are taken across different groups - they can appear to contradict the overall averages
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3. When both those who could influence and evaluate the results are blinded
principles of experimental design
double-blind
lurking variable
linear model
4. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data
outlier
outliers
trial
subset
5. A numerical measure of the direction and strength of a linear association
model
standardized value
correlation
outlier
6. A variable whose levels are controlled by the experimenter
histogram
frequency table
shifting
factor
7. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
spread
observational study
z-score
center
8. Graphs a dot for each case against a single axis
multimodal
68-95-99.7 rule
conditional distribution
dotplot
9. 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
unimodal
normal probability plot
simple random sample
subset
10. A representative subset of a population - examined in hope of learning about the population
standard normal model
sample
sampling frame
outliers
11. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
standard deviation
intercept
factor
boxplot
12. A sample drawn by selecting individuals systematically from a sampling frame
simple random sample
placebo effect
correlation
systematic sample
13. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
principles of experimental design
treatment
stratified random sample
rescaling
14. The difference between the first and third quartiles
data table
percentile
interquartile range
mode
15. When an observed difference is too large for us to believe that is is likely to have occurred naturally
standardized value
placebo
statistically significant
area principle
16. A variable that names categories (whether with words or numerals)
categorical variable
randomization
cluster sample
histogram
17. Systematically recorded information - whether numbers or labels - together with its context
data table
data
subset
nonresponse bias
18. A numerical summary of how tightly the values are clustered around the 'center'
standardized value
simpson's paradox
median
spread
19. Gives the possible values of the variable and the frequency or relative frequency of each value
completely randomized design
sampling variability
distribution
systematic sample
20. Values of this record the results of each trial with respect to what we were interested in
tails
outlier
prospective study
response variable
21. A variable whose values are compared across different treatments
normal probability plot
simulation component
boxplot
response
22. A numerically valued attribute of a model for a population
intercept
tails
statistically significant
population parameter
23. The middle value with half of the data above and half below it
median
strength
block
changing center and spread
24. Useful family of models for unimodal - symmetric distributions
multistage sample
variable
normal model
predicted value
25. 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
normal model
model
quantitative variable
26. The best defense against bias - in which each individual is given a fair - random chance of selection
randomization
standardizing
control group
re-express data
27. The number of individuals in a sample
sample size
data
frequency table
quartile
28. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
skewed
control group
completely randomized design
least squares
29. Found by summing all the data values and dividing by the count
distribution
units
parameter
mean
30. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
stem-and-leaf display
confounded
random numbers
treatment
31. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
r2
convenience sample
shape
stratified random sample
32. 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
retrospective study
matched
level
33. Anything in a survey design that influences response
sample size
simulation
pie chart
response bias
34. Shows quantitative data values in a way that sketches the distribution of the data
confounded
stem-and-leaf display
outcome
correlation
35. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
population parameter
observational study
sampling frame
regression to the mean
36. An equation of the form y-hat = b0 + b1x
linear model
placebo effect
5-number summary
unimodal
37. The parts of a distribution that typically trail off on either side; they can be characterized as long or short
comparing distributions
interquartile range
population parameter
tails
38. The sum of squared deviations from the mean - divided by the count minus one
variance
direction
experiment
cluster sample
39. The difference between the lowest and highest values in a data set
conditional distribution
range
influential point
boxplot
40. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
5-number summary
double-blind
units
normal percentile
41. The entire group of individuals or instances about whom we hope to learn
population
z-score
residuals
center
42. A distribution that's roughly flat
representative
uniform
stem-and-leaf display
sample size
43. Summarized with the mean or the median
blinding
center
sampling variability
slope
44. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
stem-and-leaf display
voluntary response bias
center
confounded
45. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
percentile
standard deviation
observational study
46. An individual result of a component of a simulation
contingency table
spread
influential point
outcome
47. A variable in which the numbers act as numerical values; always has units
distribution
center
quantitative variable
systematic sample
48. A study based on data in which no manipulation of factors has been employed
experiment
observational study
sample
simple random sample
49. Extreme values that don't appear to belong with the rest of the data
outliers
representative
factor
rescaling
50. 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
matching
data
marginal distribution
response bias