Q:# What is qualitative data?

A:### Quick Answer

Qualitative data is data that can be observed but cannot be measured. This type of data is often in contrast to quantitative data, which is data that can be measured.

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Qualitative data stems from the word quality and characterizes attributes or properties of an object. When comparing qualitative and quantitative data, a key difference is that quantitative data is measured in numbers. For example, qualitative data for a painting includes a description of the characteristics of the painting such as colors and the way it is painted. Quantitative data for the same painting includes measured data like its cost, which can be measured in dollars.

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## What is discrete data?

A:

Full Answer >**Discrete data refers to data that has values that are different and separable from one another.**This form of data typically represents items that can be counted. Some examples of discrete data include eye color and the number of pushups that someone can perform. This form of data is one of three main data types, along with continuous and categorical data.Filed Under: - Q:
## What is the importance of statistics?

A:Statistics is the study of numerical information, which is called data. People use statistics as tools to understand information. Learning to understand statistics helps a person react intelligently to statistical claims. Statistics are used in the fields of business, math, economics, accounting, banking, government, astronomy, and the natural and social sciences.

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## How do you approximate the mean of group data?

A:The mean of a set of data can be easily approximated by taking an average of the values in that data. In order for the mean to be representative, the group of numbers must be comparable values in the same category.

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## What are the advantages and disadvantages of the parametric test of significance in statistics?

A:

Full Answer >**According to HealthKnowledge, the main disadvantage of parametric tests of significance is that the data must be normally distributed.**The main advantage of parametric tests is that they provide information about the population in terms of parameters and confidence intervals. Another advantage of parametric tests is that they are easier to use in modeling (such as meta-regressions) than are non-parametric tests.Filed Under:

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