I3-SESSION-1 (1) Flashcards

(87 cards)

1
Q

Overview of Data

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2
Q

Analysis in

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3
Q

Research

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4
Q

Introduction to Data Analysis

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5
Q

What is Data Analysis?

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6
Q

It is the process of

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7
Q

systematically

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8
Q

applying

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9
Q

statistical

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10
Q

and/or

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11
Q

logical

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12
Q

techniques to describe and

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13
Q

illustrate

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14
Q

condense

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15
Q

and

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16
Q

recap

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and evaluate data.

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17
Q

Introduction to Data Analysis

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18
Q

Never stop saying that

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19
Q

we are experiencing

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20
Q

ORANGE

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21
Q

WARNING

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22
Q

Rainfall

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23
Q

Introduction to Data Analysis

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24
Q

Introduction to Data Analysis

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Introduction to Data Analysis
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Five Steps in Data
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Analysis
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Introduction to Data Analysis
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Step 1:
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Define why you need
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data analysis
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 Why are you looking to
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analyze data in the first
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place?
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 Why you need data that can
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help you figure out the right
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data analysis methods to ?
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 What data should you be
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collecting?
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Introduction to Data Analysis
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Step 2:
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Collect data
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Introduction to Data Analysis
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Step 3:
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Clean
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unnecessary
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data
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You must identify and
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purge
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duplicate
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data
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anomalous data
and other
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inconsistencies that could skew
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the
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analysis
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to
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generate
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accurate results.
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Introduction to Data Analysis
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Step 4:
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Perform
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analysis
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data
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Introduction to Data Analysis
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Introduction to Data Analysis
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Introduction to Data Analysis
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Step 5:
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Interpret the results
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Introduction to Data Analysis
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Why it is important to
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learn data analysis in
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research?
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 It makes studying data a lot
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simpler and more accurate.
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 It helps the researchers
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straightforwardly interpret the
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data so that researchers don’t
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leave anything out that could
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help them derive insights from
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it.
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 It is an essential component of
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ensuring data integrity is the
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accurate
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and
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appropriate
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analysis of research findings
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Introduction to Data Analysis