Introduction To Data Analysis Essay

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ENG 103 HAND OUTS
I. DATA ANALYSIS:
Tabular Presentation

Introduction to Data Analysis
Why do we analyze data?
Make sense of data we have collected
Basic steps in preliminary data analysis
Editing
Coding
Tabulating
Introduction to Data Analysis
Editing of data
Impose minimal quality standards on the raw data
Field Edit -- preliminary edit, used to detect glaring omissions and inaccuracies (often involves respondent follow up)
Completeness
Legibility
Comprehensibility
Consistency
Uniformity
Introduction to Data Analysis
Coding -- transforming raw data into symbols (usually numbers) for tabulating, counting, and analyzing
Must determine categories
Completely exhaustive
Mutually exclusive
Assign numbers to categories
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Make sure that your table is supplementary to your text and does not replicate it.
Refer to all tables by numbers in your text, e.g., Table 1, 2, 3...
Describe or discuss only the table's highlights in your text.
Always give units of measurement in table headings.
Align decimal places.
Round numbers as much as possible. Try to round to two decimal places unless more decimals are needed.
Only include the necessary number of tables in your paper, otherwise, it may be redundant or confusing to the reader.
Do not use tables if you only have two or fewer columns and rows. In such cases, a textual description is enough.
Organize your tables neatly so that the meaning of the table is obvious at first glance.
Remember that too many rows or columns could make it difficult for the reader to understand the data. You may need to reduce the amount of data, or separate the data into additional
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Have you had any of the following medical preventive tests/exams?
_____ mammogram (if a women)
_____ prostate exam (if a man)
_____ lung x-ray
_____ electrocardiogram
_____ stress test
2. Do you currently smoke?

_____ YES

_____ NO

Important characteristics of good questionnaires
Plan a user-friendly

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