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WGU C985 Data Analytics test questions and answers.
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WGU C985 Data Analytics test questions and answers.
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WGU C985 Data Analytics testquestions and answers
ANOVA test
Analysis of variance test. Used when there are two or more groups to
compare.
A group of psychiatric patients are trying three different therapies:
counseling, medication and biofeedback. You want to see if one therapy is
better than the others.
Chi-square test
Determine if an association exists between two categorical variables.
Compares values you observe to expected.
Do men or women call out sick more to work? Variables of gender: male
and female. Expected value compared to observed value
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Brainpower
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Control group
In a healthcare environment, this group of patients do not receive the
treatment that is being studied.
Experimental group
,This group of patients receive the treatment being studied, and with
follow-up observation to determine the effect of the treatment.
F-test
The F-test is designed to test if two population variances are equal. The
ratio of the two variances is compared. If they are equal, the ratio of the
variances will be 1.
Frequency
Frequencies measure how often a particular value occurs to assess the
importance of a value or check the variation of the values in a study.
Hypothesis
A proposed explanation for an observation that leads to a prediction.
Through investigation and use of statistical data, those doing the study
will either confirm or reject the hypothesis. Testing the hypothesis will
show if there is a link (or not) between two or more variables.
Integrity
Research always makes some assumptions, depending on the type of
method used. Research assumptions must be identified to determine
possible breaches of integrity.
Interval Data
Interval data includes units of equal size, such as IQ results. There is no
zero point. An example of interval scale is time: Time is measured in
24hours in each day; the time between each hour is the same, 60 minutes.
Mean
Mean is the arithmetic average. Divide the sum of all scores by the total
number of scores.
Median
Median is the midpoint of distribution of values, or the point above or
below which 50 percent of the values fall.
Mode
Mode is the value that occurs most frequently in the data.
Multivariate Regression Analysis
Can be used to analyze and adjust risk. This analysis model contrasts each
measured factor to the patient's risk of a particular outcome
Nominal Data
, Nominal data can be measured as a frequency or percentage, and the
mean of these data cannot be calculated. Nominal data in healthcare
might include demographic information about patients. The word nominal
means "pertaining to a name."
Ordinal Data
The word ordinal means to "put in order." Ordinal data can be measured as
a frequency, and the mean of ordinal data is often calculated. Ordinal data
in healthcare might include patient satisfaction surveys using a Likert
scale.
Parametric tests
Parametric tests are based on probability distributions. Non-parametric
tests are used when data are not normally distributed.
Pearson's correlation
Pearson's correlation is used with interval and ordinal scale data
anddetermines the extent to which a change in one variable tends to be
associatedwith a change in another.
Type of regression analysis
Qualitative Research Methods
Qualitative research is aimed at understanding perceptions, perspectives,
interpretations, and opinions. Qualitative research methods often include
questionnaires, interviews, written documents, observations, and focus
groups.
Reliability
Reliability is the degree to which an assessment tool produces stable and
consistent results
Validity
Validity refers to how well a test measures what it is purported to
measure.
Risk Adjustment
Risk adjustment is essential for comparing data across systems, especially
among patients with varying co-morbid diseases and complex treatment
modalities. Multivariate regression analyses can be used to analyze and
adjust risk. This analysis model looks at each measured factor to the
patient's risk of a particular outcome.
Sample Size
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