Statistical Methods For Business Analytics

Statistical Methods For Business Analytics

Statistical Methods for Business Analytics Basic statistical concepts for business analytics 1. Descriptive Statistics These help summarize and describe the main features of a dataset. Mean (Average): What’s typical? For example, the average monthly sales. Median: The middle value — less affected by outliers. Useful when data is skewed. Mode: The most frequent value, helpful in spotting common patterns. Range & Standard Deviation: These show how spread out the data is. A wide range or high standard deviation means more variability. Business use: Helps managers understand performance (e.g., average customer spend, variability in delivery time). 2. Data Visualization Visual tools to spot trends and outliers. Bar Charts / Histograms: Show distribution and frequency. Line Graphs: Track trends over time. Scatter Plots: Show relationships between two variables. Business use: Used in dashboards and reports to communicate insights clearly (e.g., sales over time, relationship between advertising and sales). 3. Probability Understanding chance and uncertainty. Basic probability: What are the chances something will happen? Independent/Dependent Events: Does one outcome affect another? Business use: Risk assessment, forecasting, and decision-making under uncertainty (e.g., predicting late shipments, customer churn). 4. Sampling Using a small group to represent a larger population. Random Sampling: Every individual has an

Updated July 6, 2026