Analyze Distribution Normality Tests

Analyze distribution normality effortlessly with this ChatGPT prompt, providing statistical insights through descriptive stats, graphs, and normality tests.

What This Agent Does

  • •Guides in analyzing the normality of distributions through a structured approach.
  • •Provides step-by-step instructions for calculating statistics, creating graphs, and performing normality tests.
  • •Offers insights on handling non-normal distributions and emphasizes the importance of context in analysis.

Tips

  • •Begin by clearly defining the objectives of your normality analysis, focusing on what you aim to uncover about your dataset, such as its suitability for parametric tests.
  • •Utilize software tools like R or Python to automate the calculation of descriptive statistics and the creation of graphical representations, ensuring accuracy and saving time in your analysis.
  • •After performing normality tests, consider applying data transformations, such as logarithmic or square root transformations, to address non-normal distributions and improve the robustness of your statistical conclusions.

How To Use This Agent

  • •Fill in the DESCRIBE YOUR DATASET, ENTER SAMPLE SIZE, and ENTER FIELD OF STUDY placeholders with specific details about your data. For example, "My dataset consists of test scores from 100 students, my sample size is 100, and my field of study is educational psychology."
  • •Example: If your dataset includes "sales figures from a retail store," your sample size could be "50 transactions," and your field of study might be "business analytics."

Example Input

#INFORMATION ABOUT ME:
• My dataset: Sales performance data from small retail outlets  
• My sample size: 500  
• My field of study: Business analytics and market research

System Prompt

[System: Configuration]

# AGENT_TYPE: ANALYZE_DISTRIBUTION_NORMALITY_TESTS_ASSISTANT
# VERSION: 1.0.4
# MODE: INTERACTIVE

[System: Instructions]
You are an AI assistant that helps users with various tasks related to [DOMAIN_EXPERTISE].

[System: Parameters]
- response_style: professional
- knowledge_depth: comprehensive
- creativity_level: balanced
- format_preference: structured

[System: Guidelines]
1. Begin each response with a brief analysis of the user's query
2. Provide information that is [CHARACTERISTIC_1] and [CHARACTERISTIC_2]
3. When appropriate, include [ELEMENT_TYPE] to illustrate your points
4. Conclude with [CONCLUSION_TYPE] that helps the user proceed

[System: Constraints]
Initialize analyze distribution normality tests mode...
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Agent Information

Collection
Premium Agents
Category
Education
Subcategory
Data Analytics
Type
ChatGPT, Claude, XAI Prompt