Question
Describe the following:
(i) t-distribution
(ii) General procedure of Testing of hypothesis
Answer :
Word Count : 505
The t-distribution is a probability distribution that is symmetric and bell-shaped, similar to the standard normal distribution, but it has heavier tails. This characteristic makes it particularly useful when dealing with small sample sizes, typically less than 30, where the population standard deviation is unknown. The t-distribution was introduced by William Sealy Gosset under the pseudonym “Student,” which is why it is also called the Student’s t-distribution. Its shape depends on a parameter called degrees of freedom (df), which is usually related to the sample size as (df = n - 1), where (n) is the number of observations in the __________ __________ ___ ____ _________ __________.
______ ___ ___ ___ ______ _____ _____ ___ ___ ____ _______ ____.
________ _______ _____ ____ ______ _____ ________ ___ _______ __________ ___.
______ ______ ______ _______ ____ _________ ___ __________.
__________ _________ ___ ___ _______ _____ ________ _______ ________ ________ ___.
_______ __________ _______ _____ ______ ____ ________ _______.
______ ___ __________ ______ ________ _____ _______ ________ _________ _______ ____.
____ ________ _________ ______ __________ ___ ________ ___ ______ __________ ___.
______ ________ ____ ______ ___.
_____ ________ _________ ____ __________ __________ _____ _________ ___ ___ ___ __________.
____ ____ _____ __________ __________ _______.
___ _____ ________ _________ ____ ___.
_______ _________ _______ _____ ________ _________ ____ _________ _________ ______.
_________ ___ ________ _____ _______ ______ ____ ___.
______ __________ ______ ______ ________.
_____ ____ ___ ___ ________ __________ ____ ______ _____ _______ ______ __________.
_____ __________ _________ ______ ____ ________ ________ _____ _______ ______ __________.
_______ ____ ___ _____ ____ _________ ____ ____ _______ ___.
______ ______ ______ ______ ________ ________ __________ __________ _______.
_________ ________ _____ __________ ________ _______ ________ _______ ____ ____.
________ __________ _____ _______ ______ ______ _____ ________ ______ __________.
_______ _________ _____ ____ ______ ___ ___.
__________ _______ __________ ___ __________ __________ ___ ______ ______.
________ __________ _________ ___ __________ _____ ____ _________ __________ ______.
______ _____ ___ ________ ____ ____ _________ ________ _____ _______ _______ __________.
____ _________ _________ ______ _________ _________ ________ ____ __________ __________ ________ ____.
__________ ______ ________ ___ ______ ________ ___.
_____ ______ _______ ____ ________ _______ __________ ________ _________.
_________ ___ ______ _________ ____ _______ ____.
_________ ___ _________ _________ __________.
_______ _______ ________ __________ ________ ________ _____ ______ ____.
____ __________ ______ _________ ____ _________ ___ _________.
______ _____ ______ _________ _______ _____ ________ ___.
______ __________ _______ ___ _____ ________ __________ ___ ____ _______ _________.
___ __________ _______ ____ _________ __________ _______ _____ _______ ______.
___ ____ _____ ______ ___ ________ ______ ___ _______.
______ __________ _______ _______ _______ _____ ____ __________ ____.
__________ ________ _____ __________ __________ _________ ________ _____ _________.
__________ ________ ____ _________ ______ ________ _____ ____.
__________ ________ _____ _____ ____ ______ _______ _____ _______.
________ _________ ___ _______ _______ _____ __________ __________ ______ _________ ___ _______.
_______ _______ _______ _____ _________ ______ ___ __________ _________ ________ __________ ____.
____ _____ __________ _______ ______ ____ ______ ______ _________ __________ ________ ________.
_______ ________ ____ _____ ______.
_______ __________ _______.
Get Full Answer on WhatsApp
The t-distribution is a probability distribution that is symmetric and bell-shaped, similar to the standard normal distribution, but it has heavier tails. This characteristic makes it particularly useful when dealing with small sample sizes, typically less than 30, where the population standard deviation is unknown. The t-distribution was introduced by William Sealy Gosset under the pseudonym “Student,” which is why it is also called the Student’s t-distribution. Its shape depends on a parameter called degrees of freedom (df), which is usually related to the sample size as (df = n - 1), where (n) is the number of observations in the __________ __________ ___ ____ _________ __________.
______ ___ ___ ___ ______ _____ _____ ___ ___ ____ _______ ____.
________ _______ _____ ____ ______ _____ ________ ___ _______ __________ ___.
______ ______ ______ _______ ____ _________ ___ __________.
__________ _________ ___ ___ _______ _____ ________ _______ ________ ________ ___.
_______ __________ _______ _____ ______ ____ ________ _______.
______ ___ __________ ______ ________ _____ _______ ________ _________ _______ ____.
____ ________ _________ ______ __________ ___ ________ ___ ______ __________ ___.
______ ________ ____ ______ ___.
_____ ________ _________ ____ __________ __________ _____ _________ ___ ___ ___ __________.
____ ____ _____ __________ __________ _______.
___ _____ ________ _________ ____ ___.
_______ _________ _______ _____ ________ _________ ____ _________ _________ ______.
_________ ___ ________ _____ _______ ______ ____ ___.
______ __________ ______ ______ ________.
_____ ____ ___ ___ ________ __________ ____ ______ _____ _______ ______ __________.
_____ __________ _________ ______ ____ ________ ________ _____ _______ ______ __________.
_______ ____ ___ _____ ____ _________ ____ ____ _______ ___.
______ ______ ______ ______ ________ ________ __________ __________ _______.
_________ ________ _____ __________ ________ _______ ________ _______ ____ ____.
________ __________ _____ _______ ______ ______ _____ ________ ______ __________.
_______ _________ _____ ____ ______ ___ ___.
__________ _______ __________ ___ __________ __________ ___ ______ ______.
________ __________ _________ ___ __________ _____ ____ _________ __________ ______.
______ _____ ___ ________ ____ ____ _________ ________ _____ _______ _______ __________.
____ _________ _________ ______ _________ _________ ________ ____ __________ __________ ________ ____.
__________ ______ ________ ___ ______ ________ ___.
_____ ______ _______ ____ ________ _______ __________ ________ _________.
_________ ___ ______ _________ ____ _______ ____.
_________ ___ _________ _________ __________.
_______ _______ ________ __________ ________ ________ _____ ______ ____.
____ __________ ______ _________ ____ _________ ___ _________.
______ _____ ______ _________ _______ _____ ________ ___.
______ __________ _______ ___ _____ ________ __________ ___ ____ _______ _________.
___ __________ _______ ____ _________ __________ _______ _____ _______ ______.
___ ____ _____ ______ ___ ________ ______ ___ _______.
______ __________ _______ _______ _______ _____ ____ __________ ____.
__________ ________ _____ __________ __________ _________ ________ _____ _________.
__________ ________ ____ _________ ______ ________ _____ ____.
__________ ________ _____ _____ ____ ______ _______ _____ _______.
________ _________ ___ _______ _______ _____ __________ __________ ______ _________ ___ _______.
_______ _______ _______ _____ _________ ______ ___ __________ _________ ________ __________ ____.
____ _____ __________ _______ ______ ____ ______ ______ _________ __________ ________ ________.
_______ ________ ____ _____ ______.
_______ __________ _______.
Get Full Answer on WhatsApp
IGNOU NEWS
Assignment Submission Last Date Extended Till 30 June 2026 Click Here★★★IGNOU June 2026 TEE Date Sheet Released Click Here★★★