1 / 5

A Simple Tool To Find The Difference Between

The first step in data analysis is to gather the data. This can be done manually or through a computer program. <br>

Download Presentation

A Simple Tool To Find The Difference Between

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. A Simple Tool To Find The Difference Between Two Data Sets

  2. What is Data Analysis? • The first step in data analysis is to gather the data. This can be done manually or through a computer program. • This includes sorting the data into categories, evaluating the data for accuracy and validity. • After the data has been analyze, it can be use to make decisions or predictions..

  3. The Difference between A Numerical Data Set and • A numerical data set is a collection of numbers that can be use to measure or compare different aspects of reality. • There are many differences between these two types of data sets. • A numerical data set can always be convert into a quantitative one if need.

  4. Qualitative information • However, there are some benefits to using qualitative data sets too • They can be more expressive and personal than numeric data sets • sometimes qualitative information is necessary in order to understand a problem or issue better.

  5. The Difference between a Statistical Data Set • A data set may be compose of raw data or it may be prepare after the data has been collect. • When working with data sets, it is important to remember that each piece of information. • One way to verify the appropriateness of a statistic for a given data set is to perform an analysis of variance (ANOVA).

More Related