09/20/2023

 

Today’s lecture I have learnt about T-test which is a statistical method to determine the significance difference between the mean of two groups which is related with other features. So we can relate this to our data obesity, inactivity, diabetes and FIPS

 

There are of 3 types of t-tests are available as followed:

1. One sample T-test

Mean of a sample is tested over the hypothesized value.

T = (C–m)/S/Ön

Where, X is sample mean,

           m hypothesized mean population

           n number of observations

           S standard deviation of sample.

1. Two sample T-test

Test the unknown population means of 2 groups are equal or not.

 

t = x₁ – x₂

    Ös²(1/n₁ + 1/n₂)

S²=  

Where x1 and x2 are sample means

           S² Pooled sample variance

           n1 and n2 are observations.

           t -statistical two sample t-test value

• Paired T-test

Difference between the values of a single pair which is deducted from other. It is denoted as d

t = /(