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NORM.DIST & NORM.S.DIST (Example 5.34)

Master the Normal Distribution and solve probability problems in Microsoft Excel! This tutorial uses a clear business scenario to demonstrate how to find the probability of demand using the distribution's mean (M) and standard deviation (SD). You will learn how to: Visually represent the distribution by plotting a bell-shaped curve based on the Empirical Rule. Calculate probabilities for "at most" (less than or equal to) and "exceed" (greater than) demands using the Complement Rule. Find the probability "between" two specific values by subtracting cumulative probabilities. Understand the relationship between any Normal Distribution and the Standard Normal Distribution (Z-scores) using the NORM.S.DIST function. This is an essential guide for applying statistical concepts using Excel. Video Chapters (Timestamps) Introduction and Problem Setup (Mean = 750, SD = 100) 0:00:00 Developing the Visual: Plotting the Normal Distribution Curve 0:00:53 Problem 1: Probability for "At Most" 900 Units (P(X is less than or equal to 900)) 0:05:05 Key Concept: Continuous vs. Discrete Variables 0:06:40 Problem 2: Probability for "Exceed" 700 Units (P(X is greater than 700) using Complement Rule) 0:07:29 Problem 3: Probability "Between" 700 and 900 Units (P(X is between 700 and 900)) 0:08:42 Z-Scores and Standard Normal Distribution 0:12:00 Using Excel's NORM.S.DIST Function 0:13:31 Comparing the Standardized and Non-Standardized Curves 0:14:26 Finding Probability using Z-Scores 0:15:43 Keywords/Tags: normal distribution excel, NORM.DIST function, NORM.S.DIST, excel statistics, probability calculation, z score, bell curve, empirical rule, cumulative probability, complement rule