What if we relied on quantitative data to interpret customer

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Assignment: Quantitative & Qualitative

In addition to types of data (quantitative and qualitative), statistics can be divided into two branches: Descriptive and Inferential.

I. Descriptive Statistics: This is a summary of the important aspects of the data being collected. The information about a particular topic is collected from various sources, tabulated, and presented in a quantitative form such as percentage rates, crime rates, performance rates, mortality rates etc. Most sports related statistics (at least the commonly communicated ones) are descriptive statistics. Results of political polls are also descriptive statistics.

II. Inferential Statistics: Involves drawing a conclusion on a large amount of data, based on a small set of sample data. In this election year, we have seen reports from the media with approvals ratings for presidential candidates. The Gallup U.S Daily interviews approximately 500 U.S. citizens daily, and releases a weekly, monthly, quarterly, and yearly polls on various politicians and/or political issues. A weekly poll is based on 3500 interviewed people and is meant to represent majority of Americans (Gallup U.S. Daily).

1) What other examples can you think of that might fit into one or the other?

2) What if we only relied on quantitative data to interpret customer feedback compared to using a combination of qualitative and quantitative data how would it be?

Reference no: EM133664900

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