Getting Started

Your first analysis

Getting Started

Follow these simple steps to run your first statistical analysis.

Step 1: Upload Your Data

  1. Sign in to your StatKit account
  2. Click “Upload Dataset”
  3. Select your CSV file
  4. Review the data preview

File Requirements

  • Format: CSV files only
  • Encoding: UTF-8 recommended
  • Header: First row should contain column names
  • Data: Numeric columns for statistical tests

Step 2: Choose a Test

Select from available statistical tests:

Descriptive Statistics

Summarize your data with basic statistics.

T-Tests

Compare means between groups:

  • Independent: Two separate groups
  • Paired: Related measurements
  • One-sample: Test against a value

ANOVA

Compare means across multiple groups.

Regression

Build predictive models:

  • Linear: Predict continuous values
  • Logistic: Predict categories

Neural Networks

Train machine learning models for classification and regression.

Step 3: Configure Parameters

  1. Select your dependent variable
  2. Choose independent variables
  3. Set any additional options
  4. Click “Run Analysis”

Step 4: View Results

Results include:

  • Statistical test output
  • P-values and significance
  • Effect sizes
  • Descriptive statistics

Step 5: Export Results

Download your results in:

  • LaTeX: For academic papers
  • CSV: For further analysis
  • JSON: For programmatic access
  • Model files: For neural networks

Tips

  • Start with descriptive statistics to understand your data
  • Check that your data meets test requirements
  • Save important results
  • Cross-check with other software if needed

Need Help?

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