Introduction to Discrete & Continuous Probability Distributions

  ✅ 1. What is a Probability Distribution? A probability distribution describes how probabilities are distributed over the values of a random variable . Random Variable : A variable whose values are outcomes of a random phenomenon. ๐Ÿงฎ 2. Types of Probability Distributions Type Description GIS Example Discrete           Takes countable values  Number of landslides per year in a          valley Continuous          Takes infinite values over an                 interval Rainfall (mm), elevation, temperature  ๐Ÿ“Œ Discrete Probability Distributions ๐ŸŽฏ 3. Binomial Distribution ✅ Definition : Used when an experiment is repeated n times , and each trial has two outcomes : success or failure. ✅ Conditions : Fixed number of trials (n) Only two possible outcomes per trial (success/failure) Constant probability of success (p) Trials are in...

Median

The median is another measure of central tendency that represents the middle value of a data set. To find the median, the data set is arranged in order from lowest to highest (or highest to lowest), and then the middle value is selected. If the data set has an even number of values, then the median is the average of the two middle values.

For ungrouped data, the formula for finding the median is:

  • If n is odd: Median = (n + 1) / 2 th value


  • If n is even: Median = (n / 2) th value + ((n / 2) + 1) th value) / 2



where n represents the number of values in the data set.

Example of median for ungrouped data: Consider the following set of data: 5, 6, 3, 8, 7 First, we arrange the data set in order: 3, 5, 6, 7, 8 Since the number of values in the data set is odd (n = 5), the median is the middle value, which is 6.

For grouped data, the formula for finding the median is:

Median = L + ((n/2 - F) / f) * h

where L represents the lower limit of the median class interval, n represents the total number of values in the data set, F represents the cumulative frequency up to the median class interval, f represents the frequency of the median class interval, and h represents the height of each class interval.

Example of the median for grouped data: Consider the following frequency distribution table:

Class IntervalFrequency
0-105
10-2010
20-3015
30-408
40-502

To find the median, we first calculate the cumulative frequency of each class interval:

Class IntervalFrequencyCumulative Frequency
0-1055
10-201015
20-301530
30-40838
40-50240

The median falls in the 20-30 class interval, which has a frequency of 15. Therefore, L = 20, n = 40, F = 5, f = 15, and i = 10. Plugging these values into the formula, we get:

Median = 20 + ((20 - 5.5) / 15) * 10 = 22.67

Therefore, the median for the given frequency distribution table is 22.67 

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