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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. When either those who could influence or evaluate the results is blinded
double-blind
range
single-blind
convenience sample
2. 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
frequency table
response variable
matched
histogram
3. In a statistical display - each data value should be represented by the same amount of area
distribution
multimodal
simpson's paradox
area principle
4. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
double-blind
sampling frame
data table
stratified random sample
5. When omitting a point from the data results in a very different regression model - the point is an ____
spread
influential point
matched
area principle
6. Design Randomization occurring within blocks
experimental units
randomized block
matching
multistage sample
7. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
5-number summary
regression line
sample survey
shifting
8. A normal model with a mean of 0 and a standard deviation of 1
simple random sample
standard normal model
histogram
mean
9. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped
normal model
median
unimodal
double-blind
10. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
frequency table
normal percentile
randomized block
trial
11. An observational study in which subjects are followed to observe future outcomes
ladder of powers
prospective study
5-number summary
response
12. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
random numbers
context
comparing distributions
representative
13. A variable that names categories (whether with words or numerals)
68-95-99.7 rule
form
experimental units
categorical variable
14. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
parameter
frequency table
trial
z-score
15. When groups of experimental units are similar - it is a good idea to gather them together into these
treatment
linear model
block
dotplot
16. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
matched
retrospective study
model
double-blind
17. The natural tendency of randomly drawn samples to differ
re-express data
standardized value
center
sampling variability
18. An arrangement of data in which each row represents a case and each column represents a variable
direction
data table
census
prospective study
19. A numerical measure of the direction and strength of a linear association
census
correlation
conditional distribution
predicted value
20. A study based on data in which no manipulation of factors has been employed
convenience sample
median
principles of experimental design
observational study
21. The sequence of several components representing events that we are pretending will take place
slope
form
trial
convenience sample
22. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
unimodal
center
trial
regression to the mean
23. Values of this record the results of each trial with respect to what we were interested in
least squares
observational study
subset
response variable
24. Any attempt to force a sample to resemble specified attributes of the population
bar chart
matching
mean
form
25. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
random numbers
pie chart
lurking variable
population
26. When an observed difference is too large for us to believe that is is likely to have occurred naturally
frequency table
tails
stem-and-leaf display
statistically significant
27. The distribution of a variable restricting the who to consider only a smaller group of individuals
subset
trial
frequency table
conditional distribution
28. The specific values that the experimenter chooses for a factor
multistage sample
level
distribution
stratified random sample
29. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
data
least squares
boxplot
tails
30. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
simpson's paradox
shape
unimodal
symmetric
31. Shows a bar representing the count of each category in a categorical variable
randomization
interquartile range
standardized value
bar chart
32. A list of individuals from whom the sample is drawn
shape
convenience sample
sampling frame
z-score
33. The number of individuals in a sample
stratified random sample
matching
lurking variable
sample size
34. A variable whose values are compared across different treatments
lurking variable
spread
multimodal
response
35. 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
ladder of powers
r2
form
random numbers
36. A variable whose levels are controlled by the experimenter
factor
center
scatterplots
tails
37. A representative subset of a population - examined in hope of learning about the population
observational study
sample
standardizing
blinding
38. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
multistage sample
form
distribution
outlier
39. The difference between the first and third quartiles
interquartile range
context
median
correlation
40. Summarized with the mean or the median
center
categorical variable
symmetric
response bias
41. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
sampling frame
intercept
median
placebo effect
42. A numerical summary of how tightly the values are clustered around the 'center'
distribution
standardized value
confounded
spread
43. Systematically recorded information - whether numbers or labels - together with its context
5-number summary
data
simpson's paradox
median
44. 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
placebo effect
random
undercoverage
matched
45. Numerically valued attribute of a model
unimodal
multimodal
parameter
frequency table
46. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
68-95-99.7 rule
simple random sample
treatment
population parameter
47. An equation or formula that simplifies and represents reality
frequency table
model
standard normal model
percentile
48. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
model
stratified random sample
placebo effect
rescaling
49. When both those who could influence and evaluate the results are blinded
response bias
scatterplots
outlier
double-blind
50. The difference between the lowest and highest values in a data set
sampling frame
range
median
normal probability plot