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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 experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment
sample size
standardizing
strength
control group
2. The number of individuals in a sample
simple random sample
population
correlation
sample size
3. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
normal percentile
sample
multimodal
tails
4. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion
randomized block
experimental units
regression line
shape
5. The difference between the first and third quartiles
normal percentile
sample
r2
interquartile range
6. The ____ we care about most is straight
simpson's paradox
form
random numbers
mode
7. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
symmetric
blinding
unimodal
dotplot
8. The sequence of several components representing events that we are pretending will take place
trial
distribution
data
normal percentile
9. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
spread
placebo effect
boxplot
influential point
10. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set
parameter
re-express data
sampling frame
retrospective study
11. A numerical summary of how tightly the values are clustered around the 'center'
stem-and-leaf display
stratified random sample
spread
distribution
12. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
strength
blinding
randomization
shape
13. A distribution that's roughly flat
bias
control group
uniform
completely randomized design
14. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
context
bias
direction
median
15. 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
standardized value
data table
random
16. The entire group of individuals or instances about whom we hope to learn
simulation component
context
linear model
population
17. When groups of experimental units are similar - it is a good idea to gather them together into these
block
scatterplots
direction
treatment
18. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one
spread
simple random sample
retrospective study
z-score
19. The middle value with half of the data above and half below it
median
data
voluntary response bias
regression line
20. When averages are taken across different groups - they can appear to contradict the overall averages
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21. 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
influential point
standardizing
center
22. 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
histogram
slope
randomization
cluster sample
23. An individual result of a component of a simulation
outcome
shifting
spread
pie chart
24. 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
shifting
normal model
frequency table
units
25. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed
intercept
lurking variable
randomized block
mode
26. Summarized with the standard deviation - interquartile range - and range
r2
spread
representative
shifting
27. Found by substituting the x-value in the regression equation; they're the values on the fitted line
standardized value
units
matching
predicted value
28. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
frequency table
correlation
experiment
independence
29. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value
conditional distribution
randomized block
residuals
double-blind
30. Found by summing all the data values and dividing by the count
random assignment
mean
histogram
placebo effect
31. Any attempt to force a sample to resemble specified attributes of the population
bias
single-blind
matching
simulation
32. When omitting a point from the data results in a very different regression model - the point is an ____
center
symmetric
influential point
simple random sample
33. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units
shape
treatment
statistically significant
form
34. 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
data
response variable
timeplot
undercoverage
35. Extreme values that don't appear to belong with the rest of the data
completely randomized design
outcome
outliers
mean
36. A sample drawn by selecting individuals systematically from a sampling frame
conditional distribution
z-score
systematic sample
control group
37. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness
shape
sample size
case
mean
38. The specific values that the experimenter chooses for a factor
level
systematic sample
area principle
standard deviation
39. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
intercept
stem-and-leaf display
contingency table
variable
40. A numerical measure of the direction and strength of a linear association
correlation
nonresponse bias
standard normal model
residuals
41. An equation of the form y-hat = b0 + b1x
bimodal
linear model
intercept
response
42. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
range
standard deviation
factor
retrospective study
43. The square root of the variance
shifting
census
mean
standard deviation
44. Anything in a survey design that influences response
single-blind
response
response bias
data table
45. Control - randomize - replicate - block
level
principles of experimental design
percentile
shape
46. The best defense against bias - in which each individual is given a fair - random chance of selection
matching
experimental units
randomization
uniform
47. Distributions with two modes
bimodal
leverage
experiment
stratified random sample
48. 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
observational study
extrapolation
re-express data
z-score
49. Gives a value in 'y-units per x-unit'; changes of one unit in x are associated with changes of b1 units in predicted values of y
timeplot
population
statistic
slope
50. When both those who could influence and evaluate the results are blinded
double-blind
center
dotplot
experiment