OBJECTIVE FORESTRY

Detailed explanation-1: -A null hypothesis is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations. Hypothesis testing is used to assess the credibility of a hypothesis by using sample data. Sometimes referred to simply as the “null, ‘’ it is represented as H0.

Detailed explanation-2: -The null hypothesis is generally denoted as H0. It states the exact opposite of what an investigator or an experimenter predicts or expects. It basically defines the statement which states that there is no exact or actual relationship between the variables.

Detailed explanation-3: -In hypothesis testing there are two mutually exclusive hypotheses; the Null Hypothesis (H0) and the Alternative Hypothesis (H1).

Detailed explanation-4: -Right-tailed Test H0 : µ = k H1 : µ>k P-value = P(z>z¯x) This is the probability of getting a test statistic as high as or higher than z¯x If P-value , we reject H0 and say the data are statistically significant at the level . If P-value > , we do not reject H0.