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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 scatterplot shows an association that is this if there is little scatter around the underlying relationship
symmetric
area principle
strength
direction
2. The difference between the lowest and highest values in a data set
single-blind
stratified random sample
range
median
3. 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
marginal distribution
matching
slope
5-number summary
4. Models random events by using random numbers to specify event outcomes with relative frequencies that correspond to the true real-world relative frequencies we are trying to model
shape
randomized block
placebo
simulation
5. When either those who could influence or evaluate the results is blinded
distribution
statistically significant
categorical variable
single-blind
6. A variable that names categories (whether with words or numerals)
categorical variable
68-95-99.7 rule
stem-and-leaf display
distribution
7. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant
rescaling
independence
response bias
stratified random sample
8. An equation of the form y-hat = b0 + b1x
sampling variability
dotplot
conditional distribution
linear model
9. In a statistical display - each data value should be represented by the same amount of area
undercoverage
area principle
regression line
quantitative variable
10. 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
re-express data
simpson's paradox
linear model
11. When averages are taken across different groups - they can appear to contradict the overall averages
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12. A sampling design in which entire groups are chosen at random
simulation
representative
cluster sample
standard normal model
13. The ith ___ is the number that falls above i% of the data
ladder of powers
interquartile range
simulation
percentile
14. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
variable
symmetric
intercept
scatterplots
15. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
sample survey
blinding
influential point
representative
16. A distribution is this if it's not symmetric and one tail stretches out farther than the other
unimodal
placebo
skewed
simulation
17. 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
uniform
random numbers
boxplot
extrapolation
18. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
lurking variable
interquartile range
normal percentile
68-95-99.7 rule
19. When both those who could influence and evaluate the results are blinded
comparing distributions
lurking variable
double-blind
slope
20. Systematically recorded information - whether numbers or labels - together with its context
5-number summary
scatterplots
data
sampling frame
21. Sampling schemes that combine several sampling methods
multistage sample
population
leverage
experimental units
22. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
range
treatment
sampling frame
boxplot
23. Found by summing all the data values and dividing by the count
simulation component
mean
cluster sample
bias
24. Bias introduced to a sample when a large fraction of those sampled fails to respond
nonresponse bias
treatment
histogram
outlier
25. The middle value with half of the data above and half below it
nonresponse bias
scatterplots
census
median
26. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals
tails
least squares
sample size
block
27. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population
interquartile range
control group
sample survey
case
28. 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
lurking variable
normal probability plot
response
marginal distribution
29. Gives the possible values of the variable and the frequency or relative frequency of each value
experimental units
sampling variability
quartile
distribution
30. Numerically valued attribute of a model
observational study
parameter
simulation component
undercoverage
31. Extreme values that don't appear to belong with the rest of the data
treatment
normal probability plot
outliers
contingency table
32. An arrangement of data in which each row represents a case and each column represents a variable
data table
trial
matching
68-95-99.7 rule
33. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
random numbers
double-blind
standard normal model
timeplot
34. Useful family of models for unimodal - symmetric distributions
population
normal model
range
data table
35. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
model
frequency table
factor
symmetric
36. The distribution of a variable restricting the who to consider only a smaller group of individuals
r2
conditional distribution
rescaling
matched
37. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
quantitative variable
random assignment
shape
randomization
38. The most basic situation in a simulation in which something happens at random
simulation component
predicted value
linear model
matching
39. Summarized with the mean or the median
center
response bias
outlier
unimodal
40. An equation or formula that simplifies and represents reality
stratified random sample
context
model
data table
41. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it
changing center and spread
tails
quartile
multimodal
42. All experimental units have an equal chance of receiving any treatment
skewed
factor
completely randomized design
representative
43. Value calculated from data to summarize aspects of the data
statistic
skewed
outlier
direction
44. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
control group
placebo effect
range
blinding
45. The natural tendency of randomly drawn samples to differ
extrapolation
multimodal
sampling variability
units
46. The number of individuals in a sample
undercoverage
sample size
unimodal
observational study
47. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
residuals
symmetric
convenience sample
prospective study
48. 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
experiment
sample size
scatterplots
form
49. When an observed difference is too large for us to believe that is is likely to have occurred naturally
treatment
outcome
statistically significant
systematic sample
50. Value found by subtracting the mean and dividing by the standard deviation
dotplot
response bias
direction
standardized value