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Test your basic knowledge |
AP Statistics Vocab
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Subjects
:
statistics
,
ap
Instructions:
Answer 50 questions in 15 minutes.
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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. Summarized with the mean or the median
sample size
timeplot
census
center
2. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
confounded
direction
stratified random sample
lurking variable
3. 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
outlier
stratified random sample
spread
matched
4. A distribution is this if it's not symmetric and one tail stretches out farther than the other
correlation
intercept
skewed
linear model
5. 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
regression to the mean
simulation
standardizing
slope
6. Found by summing all the data values and dividing by the count
mean
completely randomized design
leverage
shape
7. An individual about whom or which we have data
placebo effect
linear model
influential point
case
8. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
mode
skewed
interquartile range
retrospective study
9. A scatterplot shows an association that is this if there is little scatter around the underlying relationship
categorical variable
standard normal model
response
strength
10. A study based on data in which no manipulation of factors has been employed
68-95-99.7 rule
contingency table
mode
observational study
11. A distribution that's roughly flat
correlation
uniform
contingency table
sample survey
12. 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
spread
undercoverage
case
context
13. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
experimental units
bar chart
center
standardizing
14. Anything in a survey design that influences response
response bias
undercoverage
dotplot
intercept
15. The natural tendency of randomly drawn samples to differ
sampling variability
response variable
placebo effect
direction
16. In a statistical display - each data value should be represented by the same amount of area
direction
marginal distribution
standardizing
area principle
17. Gives the possible values of the variable and the relative frequency of each value
distribution
data table
random assignment
center
18. A variable whose values are compared across different treatments
census
median
response
normal model
19. A numerical summary of how tightly the values are clustered around the 'center'
data table
comparing distributions
spread
normal percentile
20. When doing this - consider their shape - center - and spread
comparing distributions
sample survey
experiment
model
21. The middle value with half of the data above and half below it
median
level
experiment
standard normal model
22. Value found by subtracting the mean and dividing by the standard deviation
standardized value
principles of experimental design
simple random sample
pie chart
23. An observational study in which subjects are followed to observe future outcomes
model
prospective study
normal model
shape
24. Numerically valued attribute of a model
parameter
random assignment
shape
simulation
25. 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
histogram
correlation
residuals
26. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other
leverage
symmetric
interquartile range
range
27. When omitting a point from the data results in a very different regression model - the point is an ____
experimental units
shape
influential point
unimodal
28. Values of this record the results of each trial with respect to what we were interested in
area principle
response variable
sampling variability
response bias
29. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
placebo effect
unimodal
normal percentile
random
30. Systematically recorded information - whether numbers or labels - together with its context
level
data
linear model
z-score
31. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
multistage sample
population parameter
simple random sample
outlier
32. A numerically valued attribute of a model for a population
sampling frame
population parameter
lurking variable
histogram
33. An equation of the form y-hat = b0 + b1x
rescaling
parameter
linear model
boxplot
34. 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
retrospective study
residuals
histogram
treatment
35. Shows a bar representing the count of each category in a categorical variable
population parameter
principles of experimental design
bar chart
rescaling
36. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample
5-number summary
normal model
symmetric
voluntary response bias
37. All experimental units have an equal chance of receiving any treatment
level
bias
completely randomized design
intercept
38. A variable whose levels are controlled by the experimenter
factor
correlation
outlier
stem-and-leaf display
39. Design Randomization occurring within blocks
simulation
simple random sample
conditional distribution
randomized block
40. When averages are taken across different groups - they can appear to contradict the overall averages
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41. When groups of experimental units are similar - it is a good idea to gather them together into these
block
spread
skewed
conditional distribution
42. When an observed difference is too large for us to believe that is is likely to have occurred naturally
model
data
statistically significant
leverage
43. Useful family of models for unimodal - symmetric distributions
parameter
normal model
regression line
stem-and-leaf display
44. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median
5-number summary
census
outlier
center
45. An arrangement of data in which each row represents a case and each column represents a variable
lurking variable
statistic
level
data table
46. The square root of the variance
interquartile range
standard deviation
simpson's paradox
sample size
47. Holds information about the same characteristic for many cases
variable
influential point
parameter
census
48. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two
lurking variable
area principle
scatterplots
linear model
49. Distributions with two modes
standardized value
bimodal
voluntary response bias
sample
50. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small
pie chart
r2
leverage
single-blind
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