Numerical Descriptive Measures (Statistics)

Numerical Descriptive Measures is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.

Central tendency is the extent to which the values of a numerical variable group around a typical, or central, value. Variation measures the amount of dispersion, or scattering, away from a central value that the values of a numerical variable show. The shape of a variable is the pattern of the distribution of values from the lowest value to the highest value.

This lecture discusses ways you can compute these numerical descriptive measures as you begin to analyze your data within the DCOVA framework. The lecture also talks about the covariance and the coefficient of correlation, measures that can help show the strength of the association between two numerical variables.

In this lecture you learn to:

1. To describe the properties of central tendency, variation, and shape in numerical data
2. To construct and interpret a boxplot
3. To compute descriptive summary measures for a population
4. To calculate the covariance and the coefficient of correlation

In this file you will find:

- Numerical Descriptive Measures Lecture Power Point Presentation

- Test Bank with 168 different related questions with full answer description and explanation

- 80 Exercises related to the topic with all answers to them

- Defining and Collecting DataReading Resources file in order to enhance Lecturer/Teacher/Student knowledge

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