tails: the default is two tailed test

Target: To check if the difference between the average (mean) of two groups (populations) is significant, using sample data

Example1: A man of average hight is expected to be 10cm taller than a woman of average hight (d=10)

Example2: The average weight of an apple grown in field 1 is expected to be equal in weight to the average apple grown in field 2 (d=0)

The population's distribution is Normal |

S_{1},SS_{2} -Sample standard deviation of the population | |

n_{1},n_{2} - Sample size of group1 and group2 |

Enter input data and then press "Calculate test" button to get the results

H_{0}: σ_{1}^{2} ≥ σ_{2}^{2} | H_{0}: σ_{1}^{2} = σ_{2}^{2} | H_{0}: σ_{1}^{2} ≤ σ_{2}^{2} | |

H_{1}: σ_{1}^{2} < σ_{2}^{2} | H_{1}: σ_{1}^{2} ≠ σ_{2}^{2} | H_{1}: σ_{1}^{2} > σ_{2}^{2} | |

If you enter raw data, the tool will run the Shapiro-Wilk normality test and calculate outliers, as part of the test calculation.

or or enter summarized data ( n, S) in Group1 and Group2 forms

**Header**: You may change groups' name to the real names.**Data**: When entering data, press Enter after each value

You may copy data from Excel, Google sheets or any tool that separate data with **Tab** and **Line Feed**.

Copy the data, **one block of 3 consecutive columns includes the header**, and paste below.

n_{1}: | Sample size of group1 | |

S_{1}: | Sample Standard deviation of group1 | |

skewness: | ||

Normality pval1: | Shapiro Wilk test | |

Outliers | count: ,based on the Tukey's fences method, k=1.5 |

n_{2}: | Sample size of group2 | |

S_{2}: | Sample Standard deviation of group2 | |

skewness: | ||

Normality pval2: | Shapiro Wilk test | |

Outliers | count: ,based on the Tukey's fences method, k=1.5 |

validation message