Enhanced One Factor Analysis Tool

Analysis Tool

Number of Treatments: Number of Replications:

Number of Sets: Select Design:

Transformation: Enter Data (space or tab separated):

Import Data:

Examples

Example 1: Crop Yield Study (CRD)

A researcher wants to compare the yield of three different corn varieties (A, B, C) using a Completely Randomized Design with four replications.

123 123 131 133  # Variety A
142 149 147 134  # Variety B
147 172 143 139  # Variety C

Example 2: Fertilizer Effect Study (RBD)

An agronomist is studying the effect of three fertilizer treatments (A, B, C) on tomato plant height using a Randomized Complete Block Design with four blocks.

25.0 23.0 24.3 26.5  # Treatment A
28.5 24.9 27.3 29.2  # Treatment B
41.3 42.5 41.3 46.5  # Treatment C

Description

The One Factor Analysis Tool is designed to perform statistical analysis on experimental data with a single factor (treatment) and multiple replications. It supports both Completely Randomized Design (CRD) and Randomized Complete Block Design (RBD).

Key Features:

Flexible input for multiple treatments and replications
Support for CRD and RBD designs
Optional data transformations (Square Root and Angular)
Calculation of ANOVA table
Post-hoc analysis using Tukey's HSD test
Visualization of results using bar charts, box plots, and scatter plots
Import and export data functionality

This tool calculates the Sum of Squares (SS), Degrees of Freedom (DF), Mean Squares (MS), and F-value for treatments, blocks (in RBD), and error. It also provides the grand mean and individual treatment means.

Use this tool to analyze your experimental data and draw conclusions about the significance of treatment effects in your study.