Best ChatGPT prompts for Statisticians

Develop a regression model to predict house prices based on location, size, and number of bedrooms using a dataset of 1000 houses, assuming a linear relationship and a 95% confidence level. Consider using feature scaling and data normalization to improve model accuracy.

Generate a statistical report outlining the top 5 countries with the highest life expectancy rates in 2020, including detailed data on average life expectancy, population, and age distribution. Use credible sources such as the World Health Organization to ensure data accuracy and reliability.

Calculate the optimal sample size required to estimate a population mean with a margin of error of 3% and a confidence level of 99% using a Z-score calculator. Assume a population standard deviation of 10 and a sample variance of 20.

Create a workflow to automate data analysis and reporting for a marketing team by integrating data from various sources, applying statistical models to identify trends and patterns, and generating visually appealing reports using Python and a data visualization library such as Matplotlib. Include features such as data filtering, aggregation, and formatting to make reports more user-friendly and actionable.

Develop a predictive model to forecast daily sales for a retail store using historical sales data, accounting for seasonal fluctuations and holidays. Use techniques such as decomposition and anomaly detection to identify unusual patterns and outliers that may impact predictions. Consider integrating external factors such as weather and economic indicators to improve model accuracy and robustness.