Finance Train Logo
⭐Upgrade to Premium
Menu

Learn

Resources

⭐Upgrade to Pro

Chebyshev’s Inequality

Chebyshev’s Inequality is used to describe the percentage of values in a distribution within an interval centered at the mean.

It states that for a distribution, the percentage of observations that lie within k standard deviations is atleast 1 – 1/k2

This is illustrated below:

ci1
ci1
Continue Reading
Free Content, Requires Login

This content is free but requires you to be logged in to access.

Create a free account to access this tutorial and all other free tutorials, courses, and resources.

Previous Lesson

Variance and Standard Deviation

Next Lesson

Coefficient of Variation

01
Descriptive Vs. Inferential Statistics
02
Types of Measurement Scales
03
Parameter, Sample Statistic, and Frequency Distribution
04
Relative Frequencies and Cumulative Relative Frequencies
05
Properties of a Data Set (Histogram / Frequency Polygon)
06
Measures of Central Tendency
07
Calculating Arithmetic Mean
08
Calculating Weighted Average Mean
09
Calculating Geometric Mean
10
Calculating Harmonic Mean
11
Calculating Median and Mode of a Data Set
12
Quartiles, Quintiles, Deciles, and Percentiles
13
Range and Mean Absolute Deviation
14
Variance and Standard Deviation
15
Chebyshev’s Inequality
16
Coefficient of Variation
17
Sharpe Ratio
18
Skewness and Kurtosis
19
Relative Locations of Mean, Median and Mode

Topics

Statistical Methods

Course Downloads

Course Resources

Statistical Concepts and Market Returns

Study Notes for Statistical Concepts and Market Returns

PDF
Premium