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MHA 705 MODULE 5 () EXAM QUESTIONS WITH ANSWERS

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MHA 705 MODULE 5 () EXAM QUESTIONS WITH ANSWERS

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MHA 705 MODULE 5
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MHA 705 MODULE 5









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Institution
MHA 705 MODULE 5
Course
MHA 705 MODULE 5

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Uploaded on
October 24, 2024
Number of pages
7
Written in
2024/2025
Type
Exam (elaborations)
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Questions & answers

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MHA 705 MODULE 5 (2024-2025) EXAM
QUESTIONS WITH ANSWERS
(
Within Research methodology and Data Mining Concepts,
what subset of artificial intelligence enables computers to
learn inductively or deductively? - <<<<Answers<<<Machine
Learning


(T/F) The acronym SEMMA - sample, explore, modify,
model, assess - refers to the core process of conducting data
mining. - <<<<Answers<<<True


The general term of Data Sampling with population
___________ - <<<<Answers<<<Is the process of selecting
the units to represent the target population


Methods of data cleansing includes - <<<<Answers<<<All
answers are correct
a. Finding duplications
b. Identifying outliers
c. Checking internal consistency


Within Research Methods, Secondary Analysis -
<<<<Answers<<<Is the analysis of the original work of
another person or organization

, MHA 705 MODULE 5 (2024-2025) EXAM
QUESTIONS WITH ANSWERS
(T/F) According to Adequacy of the Sample Size,
Heterogeneity means variation or diversity. The more
heterogeneous a population, the larger the sample. -
<<<<Answers<<<True


(T/F) Some researchers note that data cleansing can consume
80 percent of the time of data mining -
<<<<Answers<<<False
T/F) The term "knowledge discovery" is key, as data mining
looks at data from different vantage points, aspects, and
perspectives and brings new insights to the data set. -
<<<<Answers<<<True


(T/F) As defined by Gene Glass, the term meta-analysis is
"the statistical analysis of a large collection of results from
individual studies for the purpose of integrating findings." -
<<<<Answers<<<True


According to AHIMA's model, which of the following is not a
characteristic of Data Quality - <<<<Answers<<<Cleanness


Which data mining model uses the organization's same
business model, but makes improvements by simply thinking
differently? - <<<<Answers<<<Six sigma

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