T-test formulae //Dependent or paired test // MAPC06

A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related in certain features. It is mostly used when the data sets, like the data set recorded as the outcome from flipping a coin 100 times, would follow a normal distribution and may have unknown variances. A t-test is used as a hypothesis testing tool, which allows testing of an assumption applicable to a population.
A t-test looks at the t-statistic, the t-distribution values, and the degrees of freedom to determine the statistical significance. To conduct a test with three or more means, one must use an analysis of variance.
#t_test #ignou #psychology

[@saharabbas6898]

There is a mistake in calculation of X2- X1 Row. if the 24 - 70 the total should be -46. not 14.....

[@CaffeineShots]

Thats not 24 - 70 ..See the question not answer...They mistakenly write it...Its 70 - 84 = -14

[@rubydoll6031]

Thank you for explaining so briefly