Probability and Statistics, WGU C955OBJECTIVE
ASSESSMENT EXAM A, B & C ACTUAL EXAM
QUESTIONS&ANSWER
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Terms in this set (51)
Boxplot an image that has min, Q1, median, Q3, max
A graphical representation -- bars, measuring the
Histogram
frequency within each interval
Not a symmetric distribution, the tail is on the right, i.e.
Skewed right
extra stuff on the right
Measures of center Median, the mean (and mode)
Measures of spread Range, IQR & standard deviation
, 68% of the data are within 1 standard deviation, 95%
Standard Deviation Rule are within 2, 99.7 are within 3 standard deviations from
the mean.
For skewed data, use In this situation, we use median (for center) & IQR (for
these for center and spread)
spread
Explanatory variable In a study, what we think is the "cause"
Response variable In a study, what we think is the "effect"
Scatter plot A graphical representation of Q -> Q
Two way table A graphical representation of C -> C
Side-by side box A graphical representation of C -> Q
Linear relationship "shaped like a line"
Between -1 and 1; measures how close the points are
Correlation coefficient, r to the line and if the trend is uphill (positive) or
downhill (negative).
This is an example of a correlation coefficient that
r = -0.2, for example
represents a weak negative correlation.
This is an example of a correlation coefficient that
r = 0.9, for example
represents a strong positive correlation.
A line that fits the data as close as possible, used to
Linear regression line
make predictions
Making predictions within the range of your data. This
Interpolation
is usually accurate.
Making predictions outside of the range of your data.
Extrapolation
This is generally a bad idea.
When split up, each data set can have a pattern which
Simpson's Paradox
goes away when all the data is combined.
Only way to prove Experiments, because they account for lurking
causation variables
ASSESSMENT EXAM A, B & C ACTUAL EXAM
QUESTIONS&ANSWER
Save
Stretch your brain before your first study session
Learn 1 /7 Study with Learn
Terms in this set (51)
Boxplot an image that has min, Q1, median, Q3, max
A graphical representation -- bars, measuring the
Histogram
frequency within each interval
Not a symmetric distribution, the tail is on the right, i.e.
Skewed right
extra stuff on the right
Measures of center Median, the mean (and mode)
Measures of spread Range, IQR & standard deviation
, 68% of the data are within 1 standard deviation, 95%
Standard Deviation Rule are within 2, 99.7 are within 3 standard deviations from
the mean.
For skewed data, use In this situation, we use median (for center) & IQR (for
these for center and spread)
spread
Explanatory variable In a study, what we think is the "cause"
Response variable In a study, what we think is the "effect"
Scatter plot A graphical representation of Q -> Q
Two way table A graphical representation of C -> C
Side-by side box A graphical representation of C -> Q
Linear relationship "shaped like a line"
Between -1 and 1; measures how close the points are
Correlation coefficient, r to the line and if the trend is uphill (positive) or
downhill (negative).
This is an example of a correlation coefficient that
r = -0.2, for example
represents a weak negative correlation.
This is an example of a correlation coefficient that
r = 0.9, for example
represents a strong positive correlation.
A line that fits the data as close as possible, used to
Linear regression line
make predictions
Making predictions within the range of your data. This
Interpolation
is usually accurate.
Making predictions outside of the range of your data.
Extrapolation
This is generally a bad idea.
When split up, each data set can have a pattern which
Simpson's Paradox
goes away when all the data is combined.
Only way to prove Experiments, because they account for lurking
causation variables
