5/29/2023 0 Comments Type 2 errorØ Suppose an investigator made a decision to reject a true H0, then he/she has committed an error, called the Type I error. Ø If an H 0 is true, it should NOT be rejected by the statistical test. Ø There are Two types of statistical errors, they are: Ø They are called as the Errors in Statistics or Statistical Errors. Ø There are two situations in which the decision made on data in the statistics become wrong. Ø If a statistical test rejects the null hypothesis, the investigator has to accept the alternate hypothesis. (negation of the negative null hypothesis) Ø The alternate hypothesis is always constructed in a positive sense. Ø Usually, the alternate hypothesis is a statement that the phenomenon being studied produces some effect or makes some differences.Īlternate hypothesis: H1 – Urea have some effects on the leaf size of rice plants. Ø Alternate hypothesis is denoted as H 1. Null hypothesis: H 0 – Urea does NOT have any effect on the leaf size of rice plants. Ø Example: (a study to investigate the effect of urea on the size of leaf in rice plants) Ø Most commonly, the null hypothesis is a statement that the phenomenon being studied produces NO effect or makes NO difference. Ø The ‘Null hypothesis’ is denoted as H 0. Ø Definition: The Null hypothesis is a statement that one seeks to nullify with evidence to the contrary. Ø Such a low level of significance is selected to reduce the erroneous rejection of a null hypothesis (H 0) after the statistical testing. Ø A level of significance 0.05 denotes 95% confidence in the decision whereas the level of significance 0.01 denotes 99% confidence. Ø The level of significance in statistics denotes the confidence level of an investigator to accept or reject a null hypothesis in the statistical testing. Ø The ‘Level of Significance’ in statistics is conventionally set to 0.05 to 0.01. Ø Definition: The Level of significance is the probability of rejecting the null hypothesis in a statistical test when it is true.
0 Comments
Leave a Reply. |