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D514 Exam Study Guide Questions with Correct Answers

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D514 Exam Study Guide Questions with Correct Answers

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D514 Exam Study Guide Questions with Correct
Answers
ANOVA test - ✔✔may be used in the research studies where there are two or more
groups to compare



Chi-square tests - ✔✔test which determines if an association exists between two
categorical variables



Control group - ✔✔in a healthcare environment, this group of patients does not receive
the treatment that is being studied



Experimental group - ✔✔this group of patients receives the treatment being studied
with follow up observation to determine the effect of the treatment



F-test - ✔✔this is designed to test if two population variances are equal. The ration of
the two variances is compared; if they are equal, the ration of the variances is 1



Frequency - ✔✔these measure how often a particular value occurs to assess the
importance of a value or check the variation of values in a study



Hypothesis - ✔✔a proposed explanation for an observation that leads to a prediction;
this will be confirmed or rejected after investigation and data collection



Integrity - ✔✔research always makes some assumptions which must be identified to
determine breaches of this



Interval data - ✔✔this includes units of equal size such as IQ results; there is no zero
point

, What is an example of interval scale? - ✔✔TIME; time is measured in 24 hours each day
and the time between each hour is the same- 60 minutes



Mean - ✔✔the arithmetic average of a distribution, obtained by adding the scores and
then dividing by the number of scores



Median - ✔✔the midpoint of the distribution of values, or the point above or below
which 50% of the values fall



Methods section components - ✔✔When analyzing the quality of a study, a careful
evaluation of the research methods can reveal critical details about population and sample,
co-variables and hypothesis, data presentation, statistical analysis, and study limitations.



Misleading Statistics - ✔✔Interpreting and presenting the results of data analysis affords
opportunities for accidental or deliberate misrepresentation of data. Examples: implying
causation, relying on biases or incomplete sample, using inappropriate graphical
representations



Mode - ✔✔The value that occurs most frequently in a given data set.



Multivariate Regression analyses - ✔✔used to analyze and adjust risk; this model
contrasts each measured factor to the patient's risk of a particular outcome



Nominal Data - ✔✔data measured as a frequency or percentage, and the mean of these
data cannot be calculated. In healthcare, this data might include demographic information
about patients.



Ordinal data - ✔✔data measured as a frequency, and the mean of is often calculated. In
healthcare, this data might include patient satisfaction surveys using a Likert scale.

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Subido en
12 de febrero de 2025
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