Two Tail Hypothesis Test. In this method both the sides of a critical area is used. Left-tailed test when the critical region is on the left side of the distribution of the test value. The alternative hypothesis contains the sign. For example performing the test at a 5 level means that there is a 5 chance of wrongly rejecting H 0.
The alternative hypothesis would be that the mean is less than 10 or greater than 10. Both conditions characterize they are different and each one happens in one side of the probabilit. In Paired T-Test they analyse the means of two groups of observations. If the data supports the alternative hypothesis we reject the null hypothesis and accept the alternative hypothesis. In this method both the sides of a critical area is used. Real life A may be bigger than B or smaller.
The alternative hypothesis contains the sign.
There are three different types of hypothesis tests. Upper Lower and Two Tailed Tests Hypothesis testing is a statistical procedure that helps to evaluate the two mutually exclusive statements about the population. A one-tailed test looks for an increase or decrease in the parameter whereas a two-tailed test looks for any change in the parameter which can be any change- increase or decrease. For example performing the test at a 5 level means that there is a 5 chance of wrongly rejecting H 0. In Paired T-Test they analyse the means of two groups of observations. This is a two-tailed test because the alternative hypothesis claims that the proportion is different larger or smaller than in the null hypothesis.