Start learning 50% faster. Sign in now
This statement is a representation of the relationship between the probabilities of type I and type II errors in statistical hypothesis testing. The sum of these two probabilities is always equal to 1. Type I Error (False Positive): The probability of rejecting a true null hypothesis. Type II Error (False Negative): The probability of failing to reject a false null hypothesis. Therefore, the sum of the probability of making a Type I error and the probability of making a Type II error equals 1. This relationship is fundamental in understanding the trade-off between these two types of errors in hypothesis testing.
Any person who has entered into an agreement with any depository for availing its services shall surrender ………..
According to the Bhartiya Nagarik Suraksha Sanhita, what does "investigation" include________________
Which of the following are punishments under Section 4 of the Bharatiya Nyaya Sanhita?
What does the legal maxim 'Novus Actus Interveniens' mean?
Every agreement in restraint of the marriage of any person _______________
No person shall be appointed by the State Government as the Public Prosecutor or Additional Public Prosecutor for the district unless his name appears i...
Which type of tort involves false statements that harm a person's reputation?
What is the impact of a lessee staying in possession of the property on the renewal of a lease?
If the parties fail to determine the number of arbitrators,
Who is the ex- officio chairman of the Council of States?