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WGU C955 APPLIED PROBABILITY AND STATISTICS, WGU C955 EXAM QUESTIONS WITH 100% CORRECT ANSWERS

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WGU C955 APPLIED PROBABILITY AND STATISTICS, WGU C955 EXAM QUESTIONS WITH 100% CORRECT ANSWERS Distributive property - Answer-Principle used to multiply a single term by multiple terms. If there are parenthesis around multiple terms which are in turn multiplied by a single term, we can use this p...

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WGU C955 APPLIED PROBABILITY
AND STATISTICS, WGU C955 EXAM
QUESTIONS WITH 100% CORRECT
ANSWERS

Distributive property - Answer-Principle used to multiply a single term by multiple terms.
If there are parenthesis around multiple terms which are in turn multiplied by a single
term, we can use this property.

Histogram - Answer-A graphical representation -- bars, measuring the frequency within
each interval

Skewed right - Answer-Not a symmetric distribution, the tail is on the right

Measures of center - Answer-Median, the mean (and mode)

Measures of spread - Answer-Range, IQR & standard deviation

Standard Deviation Rule - Answer-68% of the data are within 1 standard deviation,
95% are within 2,
99.7% are within 3 standard deviations from the mean.

median (for center) & IQR (for spread) - Answer-skewed data uses these for center and
spread

Scatter plot - Answer-A graphical representation of Q -> Q

Two way table - Answer-A graphical representation of C -> C

Side-by side box - Answer-A graphical representation of C -> Q

Interpolation - Answer-Making predictions *within* the range of your data. This is usually
accurate.

Extrapolation - Answer-Making predictions *outside* of the range of your data. This is
generally a bad idea.

Simpson's Paradox - Answer-When split up, each data set can have a pattern which
goes away when all the data is combined.

, Prospective study - Answer-Is a study that's done over time to find results / A study
watching for outcomes during the study period

Unbalanced response - Answer-Giving more options that are negative than positive
options (or vice versa) which biases the responses towards the more common option

Matched pairs - Answer-Grouping two similar subjects and giving different
treatments/procedures to each in order to compare the differences. For example, having
one twin take a medication while the other twin does not.

Population - Answer-The entire group you are trying to describe or understand.

Sampling frame - Answer-List of group from which you choose your sample.

Sample - Answer-The group that is actually picked to be included in a study

Simple random sample - Answer-making a selection by following a random pattern and
selecting without replacement. Unbiased.

Systematic sample - Answer-Sample is selected by listing the sampling frame, then
making a selection by following a simple pattern (eg. Every 20th name). Unbiased.

Voluntary sample - Answer-Members of the sample may choose not to respond. Similar
to Non Response.

Convenience sample - Answer-Participants are easy for researcher to access. Tends to
increase bias.

Cluster sample - Answer-Sample frame is divided into groups, we select a few groups,
then selecting ALL of the members of those groups.

Stratified sample - Answer-Sample frame is divided into groups. Then we choose a
random sample (usually the same size) from within EVERY group.

Multi-stage sample - Answer-Multiple rounds of randomness and grouping. For
example: randomly selecting a few groups, then choosing a small random sample just
those selected groups. Often a combination of Cluster and Stratified Sampling.

P(A)*P(B) - Answer-independent events: P(A and B) =

P(A|B) - Answer-P(A and B) ÷ P(B)

P(A or B) - Answer-P(A) + P(B) - P(A and B)

P(A and B) - Answer-P(A)*P(B|A)

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