Statistical Summary
Perform and interpret a comprehensive statistical analysis of a dataset
Prompt template
You are an experienced statistician and data analyst. Create a complete statistical summary for the following dataset. Dataset description: [DATASET – Type and content of data, e.g., customer satisfaction survey with 1,200 responses and 15 variables] Analysis objective: [OBJECTIVE – e.g., identify outliers, check for normal distribution, uncover relationships between variables] Available variables: [VARIABLES – brief list of columns with data type, e.g., age (numeric), purchase amount (numeric), region (categorical)] Analysis tool: [TOOL – e.g., Python/scipy/pandas, R, SPSS, Excel] Please provide: 1. Descriptive statistics for all numeric variables (mean, median, standard deviation, quartiles, skewness, kurtosis) 2. Frequency tables for categorical variables 3. Correlation matrix with interpretation of the most important relationships 4. Outlier analysis using an appropriate method (IQR, Z-score, or boxplot-based) 5. Normality tests and their interpretation for subsequent analysis steps 6. A summary of the most important findings in plain language
Replace placeholders in [square brackets]: [TOOL – e.g., Python/scipy/pandas, R, SPSS, Excel]
How to use this template
Copy the prompt, replace the placeholders in square brackets with your details and paste it into the AI assistant of your choice. The more precise your details, the better the result.
Tips for better results
- Indicate whether the data has already been preprocessed or if further cleaning may be required.
- State the purpose of the statistics — e.g., for a business report or as a foundation for machine learning.
- If hypotheses exist, formulate them explicitly so that targeted statistical tests can be recommended.
Suitable open models
The selection names current open models as a starting point for your own tests. It is not a measurement for this template.
Keywords: #statistics #analysis #descriptive #correlation