Intro Statistics in Python

The field of statistics - the practice and study of collecting and analyzing data A summary statistic - a fact about or summary of some data See PDF 1 link See PDF 2 link See PDF 3 link See PDF 4 link Categorical data can be represented as numbers Nominal (Unordered) Married/unmarried ( 1 / 0 ) Ordinal (Ordered) Strongly disagree ( 1 ) Somewhat disagree ( 2 ) Neither agree nor disagree ( 3 ) Somewhat agree ( 4 ) Strongly agree ( 5 ) Data type matters in various aspects of data analysis and decision-making for several reasons: Data Representation: Different data types require different methods of representation. Understanding the data type helps in choosing the appropriate data structures for storage and analysis. For example, numeric data may be stored as floating-point numbers, while categorical data may be stored as strings or integers. Data Analysis Techniques: The type of data determines which statistical or analytical techniques are suitable for analysis. For instance, you would u

The field of statistics - the practice and study of collecting and analyzing data A summary statistic - a fact about or summary of some data See PDF 1 link See PDF 2 link See PDF 3 link See PDF 4 link Categorical data can be represented as numbers Nominal (Unordered) Married/unmarried ( 1 / 0 ) Ordinal (Ordered) Strongly disagree ( 1 ) Somewhat disagree ( 2 ) Neither agree nor disagree ( 3 ) Somewhat agree ( 4 ) Strongly agree ( 5 ) Data type matters in various aspects of data analysis and decision-making for several reasons: Data Representation: Different data types require different methods