Statistics is a superpower for making sense of the world by uncovering patterns, trends, and relationships.
There are two main types of statistics which are Descriptive and Inferential.
Descriptive statistics helps us summarize and organize data to make it more understandable, and it includes three measures: measures of central tendency, measures of dispersion, and measures of frequency distribution.
Inferential statistics allows us to make predictions or conclusions about a larger group based on a smaller sample and is used for estimation, hypothesis testing, and regression analysis.
Statistics is used in various fields such as predicting the weather, improving medical treatments, and market research for businesses.
The application of both types of statistics helps to make data-driven decisions and leads to improved outcomes in many industries.
Understanding and applying these statistical tools are essential for tackling complex problems and advancing knowledge.
Descriptive statistics is used in various industries, such as business, healthcare, engineering, to simplify and summarize data.
Inferential statistics has practical uses in different fields for making predictions and decisions based on sample data.
Statistics play a crucial role in supporting decision-making across various fields and enabling data-driven decisions.