Mode
What is a mode?
A mode of a set of observations is defined as the value which occurs most frequently and around which other values cluster densely.
Mode for an ungrouped data:
For an ungrouped data, mode is the frequently occurring value, i.e., a value occurring more than once.
Mode for a discrete frequency distribution:
In the case of discrete frequency distribution, mode is the value of x standing for the maximum frequency.
Mode can be calculated by using the method of grouping in the following cases:
Mode for a continuous frequency distribution:
In the case of continuous frequency distribution, mode is estimated using the formula:
Mode = l + [h (f1-f0)] / [2f1 -f0 -f2]
Where l = lower limit
h = magnitude
f1 = frequency of the modal class
f0 and f2 = frequencies of the classes preceding and succeeding the modal class.
Mode can be calculated by using the method of grouping in the following cases:
Sometimes, mode can be evaluated from the mean and the median, i.e.,
Mode = 3 Median - 2 Mean
Merits of a Mode:
The merits of mode are as follows:
|
You can also visit our Statistics homework help page and upload your question to get customized online homework-help in Mode |
| Courses/Topics we help on | ||
| Quantitative Reasoning for Business | Applied Business Research and Statistics | Graphs & Diagrams |
| Confidence Interval for Mean & Proportions | Average | Random Variables - Discrete & Continuous Distributions |
| Correlation | Binomial & Poisson Distribution | Time Series |
| Quality control - R-chart - p-chart - Mean chart | Exponential Smoothing | Probability - Conditional Probability - Bayes' Theorem |
| Sampling Distribution | Moment Generating Function - Central Limit Theorem | Point Estimate & Interval Estimate |
| Normal, Uniform & Exponential Distribution | Chi-Square Test - Independence of Attributes | F-test - ANOVA |
| Distributions - Bernoulli | Geometric | t-test |
| Multiple Regression | Statistical Methods for Quality Control | Sampling Distribution |
| Non Parametric Tests | Analysis of Variance | Correlation Analysis |
| Regression Analysis | Descriptive Statistics | Moving Averages |
| Dispersion | Sampling Techniques | Estimation Theory |
| Testing of Hypothesis - Mean and Proportion Test | Data Analysis | Numerical Methods |
| Forecasting | Goodness-of-Fit Test | Inferential Statistics |
| IB Statistics | Applied socialogocal research skills | Longitudinal study |