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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 ith ___ is the number that falls above i% of the data
linear model
sampling frame
area principle
percentile
2. Holds information about the same characteristic for many cases
variable
census
histogram
lurking variable
3. This of sample size n is one in which each set of n elements in the population has an equal chance of selection
simple random sample
scatterplots
systematic sample
matching
4. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other
independence
completely randomized design
random assignment
sample
5. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams
timeplot
quantitative variable
unimodal
units
6. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
voluntary response bias
prospective study
subset
mode
7. When averages are taken across different groups - they can appear to contradict the overall averages
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8. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
response variable
lurking variable
retrospective study
standard normal model
9. Shows quantitative data values in a way that sketches the distribution of the data
model
interquartile range
stem-and-leaf display
units
10. The difference between the lowest and highest values in a data set
range
random assignment
response bias
confounded
11. Individuals on whom an experiment is performed
center
single-blind
experimental units
case
12. The natural tendency of randomly drawn samples to differ
response variable
extrapolation
sampling variability
standard normal model
13. The best defense against bias - in which each individual is given a fair - random chance of selection
outlier
multimodal
marginal distribution
randomization
14. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
leverage
double-blind
extrapolation
strength
15. The ____ we care about most is straight
form
predicted value
standardized value
response variable
16. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
r2
z-score
regression to the mean
correlation
17. A normal model with a mean of 0 and a standard deviation of 1
standard normal model
standardized value
response
outlier
18. 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
data
histogram
linear model
matched
19. Shows a bar representing the count of each category in a categorical variable
mean
bar chart
simpson's paradox
skewed
20. A representative subset of a population - examined in hope of learning about the population
response bias
retrospective study
sample
mean
21. 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
simulation
matching
experimental units
response bias
22. A numerical measure of the direction and strength of a linear association
correlation
multimodal
control group
scatterplots
23. Value calculated from data to summarize aspects of the data
random
statistic
undercoverage
range
24. A list of individuals from whom the sample is drawn
slope
standard deviation
sampling frame
matched
25. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups
blinding
convenience sample
sample
simpson's paradox
26. When omitting a point from the data results in a very different regression model - the point is an ____
influential point
data
comparing distributions
scatterplots
27. A sampling design in which entire groups are chosen at random
center
cluster sample
conditional distribution
units
28. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
simple random sample
placebo effect
intercept
normal probability plot
29. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
boxplot
symmetric
random numbers
area principle
30. 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
strength
bias
representative
marginal distribution
31. All experimental units have an equal chance of receiving any treatment
completely randomized design
treatment
unimodal
cluster sample
32. When doing this - consider their shape - center - and spread
comparing distributions
pie chart
quantitative variable
multimodal
33. Found by summing all the data values and dividing by the count
regression to the mean
categorical variable
leverage
mean
34. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
control group
representative
stem-and-leaf display
sampling frame
35. Doing this is equivalent to changing its units
conditional distribution
predicted value
simulation component
changing center and spread
36. The middle value with half of the data above and half below it
variable
lurking variable
median
single-blind
37. Gives the possible values of the variable and the frequency or relative frequency of each value
categorical variable
distribution
parameter
frequency table
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
case
regression line
matching
experiment
39. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
matching
subset
random assignment
bias
40. 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
representative
percentile
shifting
control group
41. An individual result of a component of a simulation
outcome
bimodal
ladder of powers
marginal distribution
42. Distributions with two modes
bimodal
dotplot
linear model
normal model
43. A variable whose values are compared across different treatments
level
response
randomization
single-blind
44. 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
symmetric
bimodal
prospective study
undercoverage
45. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
parameter
frequency table
marginal distribution
68-95-99.7 rule
46. An arrangement of data in which each row represents a case and each column represents a variable
data table
outlier
systematic sample
scatterplots
47. Displays data that change over time
blinding
timeplot
intercept
distribution
48. The distribution of a variable restricting the who to consider only a smaller group of individuals
correlation
undercoverage
conditional distribution
stratified random sample
49. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
population parameter
multistage sample
intercept
normal probability plot
50. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value
experimental units
normal probability plot
ladder of powers
center