SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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 positive ____ or association means that - in general - as one variable increases - so does the other; when increases in one variable generally correspond to decreases in the other - the association is negative
frequency table
direction
context
slope
2. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____
bias
leverage
conditional distribution
ladder of powers
3. Lists the categories in a categorical variable and gives the count or percentage of observations for each category
frequency table
form
variance
sampling variability
4. The specific values that the experimenter chooses for a factor
stem-and-leaf display
level
case
matching
5. An individual about whom or which we have data
principles of experimental design
least squares
case
linear model
6. The sequence of several components representing events that we are pretending will take place
trial
z-score
factor
sampling variability
7. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters
population parameter
5-number summary
representative
outliers
8. An equation of the form y-hat = b0 + b1x
predicted value
population
sampling variability
linear model
9. When averages are taken across different groups - they can appear to contradict the overall averages
Warning
: Invalid argument supplied for foreach() in
/var/www/html/basicversity.com/show_quiz.php
on line
183
10. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage
statistic
block
outlier
timeplot
11. A normal model with a mean of 0 and a standard deviation of 1
context
center
standard normal model
parameter
12. The ith ___ is the number that falls above i% of the data
center
percentile
trial
center
13. The middle value with half of the data above and half below it
sampling frame
treatment
z-score
median
14. Gives the possible values of the variable and the frequency or relative frequency of each value
simple random sample
distribution
bar chart
histogram
15. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo
comparing distributions
placebo effect
blinding
confounded
16. 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
units
completely randomized design
timeplot
undercoverage
17. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated
re-express data
confounded
r2
independence
18. 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
independence
mode
changing center and spread
quantitative variable
19. 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
shifting
data table
marginal distribution
sample size
20. An observational study in which subjects are selected and then their previous conditions or behaviors are determined
categorical variable
retrospective study
intercept
predicted value
21. The natural tendency of randomly drawn samples to differ
parameter
boxplot
predicted value
sampling variability
22. 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
predicted value
observational study
variance
23. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean
shape
random numbers
observational study
regression to the mean
24. When groups of experimental units are similar - it is a good idea to gather them together into these
center
double-blind
multistage sample
block
25. An observational study in which subjects are followed to observe future outcomes
prospective study
systematic sample
timeplot
placebo
26. A variable that names categories (whether with words or numerals)
distribution
stem-and-leaf display
normal model
categorical variable
27. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum
area principle
symmetric
stratified random sample
influential point
28. Value calculated from data to summarize aspects of the data
prospective study
statistic
experiment
skewed
29. Gives the possible values of the variable and the relative frequency of each value
distribution
influential point
response variable
ladder of powers
30. All experimental units have an equal chance of receiving any treatment
predicted value
completely randomized design
variance
standard deviation
31. A study based on data in which no manipulation of factors has been employed
experimental units
retrospective study
observational study
experiment
32. The most basic situation in a simulation in which something happens at random
uniform
completely randomized design
standardizing
simulation component
33. The ____ we care about most is straight
randomized block
nonresponse bias
form
re-express data
34. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data
standard deviation
simple random sample
subset
response variable
35. A distribution is this if it's not symmetric and one tail stretches out farther than the other
skewed
regression to the mean
response bias
simulation
36. The difference between the lowest and highest values in a data set
random assignment
conditional distribution
units
range
37. Shows a bar representing the count of each category in a categorical variable
bar chart
multimodal
strength
trial
38. 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
observational study
histogram
model
representative
39. The sum of squared deviations from the mean - divided by the count minus one
trial
statistically significant
variance
independence
40. A sample drawn by selecting individuals systematically from a sampling frame
systematic sample
sample
parameter
percentile
41. These are hard to generate - but several websites offer an unlimited supply of equally likely random values
spread
voluntary response bias
subset
random numbers
42. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0
strength
normal probability plot
observational study
intercept
43. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes
standardized value
standardizing
r2
least squares
44. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below
contingency table
normal percentile
sample
influential point
45. Systematically recorded information - whether numbers or labels - together with its context
data
multistage sample
strength
quantitative variable
46. Consists of the individuals who are conveniently available
factor
convenience sample
rescaling
frequency table
47. The best defense against bias - in which each individual is given a fair - random chance of selection
interquartile range
randomization
68-95-99.7 rule
distribution
48. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed
residuals
conditional distribution
context
block
49. In a normal model - about 68% of values fall within 1 standard deviation of the mean - about 95% fall within 2 standard deviations of the mean - and about 99.7% fall within 3 standard deviations of the mean
bar chart
68-95-99.7 rule
standardized value
shifting
50. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values
data
histogram
blinding
boxplot