Statistical Analysis Steps

This document outlines the principles and steps of statistical analysis, including data, variables, estimation, statistics, and time series versus cross-section data. It discusses key statistical concepts like the mean, standard deviation, variance, range, mode, and graphs. It also covers hypothesis testing using z-tests, t-tests, F-tests, and chi-square tests and how this relates to rejecting or failing to reject the null hypothesis. Finally, it discusses how cross-section data analysis can provide a concise summary of relationships between variables in a survey dataset.