THypothesisType Type

Summary

Defines type of hypothesis test.

Declaration

THypothesisType = (htTwoTailed,htRightTailed,htLeftTailed);

Value	Description
htTwoTailed	Null hypothesis (H0) is that data means (medians, variances) are equal, the alternative hypothesis (Ha) is that data means (medians, variances) are not equal.
htRightTailed	Null hypothesis (H0) is that data means (medians, variances) are equal, the alternative hypothesis (Ha) is that data mean (median, variance) is greater than specified mean (median, variance) value.
htLeftTailed	Null hypothesis (H0) is that data means (medians, variances) are equal, the alternative hypothesis (Ha) is that data mean is smaller than specified mean (median, variance) value. Note: H0 is called the null hypothesis => the hypothesis is that the difference between two means is zero. Ha is called the alternative hypothesis. The whole idea of hypothesis testing is to confirm that the alternative (or research) hypothesis is true. We can do this by confirming that the null hypothesis is unlikely. By rejecting the null hypothesis we actually confirm that the alternative hypothesis is likely.

Value

Description

htTwoTailed

Null hypothesis (H0) is that data means (medians, variances) are equal, the alternative hypothesis (Ha) is that data means (medians, variances) are not equal.

htRightTailed

Null hypothesis (H0) is that data means (medians, variances) are equal, the alternative hypothesis (Ha) is that data mean (median, variance) is greater than specified mean (median, variance) value.

htLeftTailed

Null hypothesis (H0) is that data means (medians, variances) are equal, the alternative hypothesis (Ha) is that data mean is smaller than specified mean (median, variance) value.

Note:
H0 is called the null hypothesis => the hypothesis is that the difference between two means is zero.
Ha is called the alternative hypothesis. The whole idea of hypothesis testing is to confirm that the alternative (or research) hypothesis is true. We can do this by confirming that the null hypothesis is unlikely. By rejecting the null hypothesis we actually confirm that the alternative hypothesis is likely.