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Wgu d514 analytical methods
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Wgu D514 Analytical Methods
Book
Healthcare Analytics for Quality and Performance Improvement
Wgu d514 analytical methods of health care leaders test / analytical methods of healthcare leaders wgu d514 test exam questions and correct answers (latest updated version ) new!!
wgu d514 analytical methods of health care leaders
wgu d514 analytical methods
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Wgu d514 analytical methods of health care leaders
test / analytical methods of healthcare leaders wgu
d514 test exam questions and correct answers (latest
updated version ) new!!
ANOVA - ANSWER: 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 others.
Alternative Hypothesis - ANSWER: States that the two groups we are studying are
different: this is the researcher's hypothesis, the alternative model that you want to
consider. The burden of proof lies with the researcher.
Analysis Plan - ANSWER: A data analysis plan is a roadmap for how you're going to
organize and analyze your survey data -- and it should help you achieve three
objectives that relate to the goal you set before you started your survey.
Bayesian Approach - ANSWER: an advanced mathematical procedure that applies
probabilities to statistical problems. It provides people the tools to update their
beliefs in the evidence of new data.
Categorical Variable - ANSWER: Values that are names or labels. The color of a ball or
the breed of a dog would be examples of categorical variables.
Central Tendency - ANSWER: Is the phenomenon of typical values often occurring in
the middle of a distribution. The greater the tendency toward the center, the more
likely a distribution is normal in shape.
Chi-square Test - ANSWER: Determine if an association exists between two
categorical variables. Compares values you observe to expected.
Do men or women call out sick to work more?
Confounding Variable - ANSWER: A variable that obscures the effect of another
variable.
Continuous Variable - ANSWER: It is also known as an interval variable. There is a
meaningful difference between variables. For example, a temperature difference
between 80* and 90* is the same difference as between 90* and 100*.
Congrol Group - ANSWER: In a healthcare environment, this group of patients do not
receive the treatment that is being studied.
, Correlation Coefficient - ANSWER: Measures strength and direction of a linear
relationship between 2 variables on a scatter plot.
Looks for not only the relationship, but the magnitude of association. It is not cause
and effect, just relationship.
Cross-Sectional Research - ANSWER: Also called a prevalence study, it gathers and
analyzes data from a population or subset of a population at a specific point in time
or place.
For example, a group of physicians may wish to do a cross-sectional study to see how
many of their patients ages 10-14 are on medication for ADHD.
Dependent Variable - ANSWER: It is what is going to change, or not, as a result of
your research.
For example, if you are researching whether or not exercising has an effect on
weight gain, 'exercise' is the independent variable and weight gain is the dependent
variable.
Descriptive Statistics - ANSWER: Describe what the data show about the
characteristics of a sample -- they tell us information about a particular population.
They are considered accurate and can be verified.
Experimental Group - ANSWER: This group of patients receive the treatment being
studied, and with follow-up observation to determine the effect of the treatment.
F-test - ANSWER: For equality of variance: It is most often used when comparing
statistical models that have been fitted to a data set, to identify the model that best
fits the population from which the data were sampled. Ensuring two samples are
"not statisically different."
F-test - ANSWER: TDesigned 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 - ANSWER: 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 - ANSWER: 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.
Incidence - ANSWER: Is the rate of new or newly diagnosed cases of the disease
occurring within a period of time.
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