Use of t -tables - hypothesis testing , Operation Research

Use of t -tables          

Similar  to normal  curve  tables  there  exist t- distribution  tables. However  whereas the properties of  the normal  curve are constant for all normal curves the t- distribution  varies according to the number of items in the sample. These tables therefore contain values for all possible sample sizes up to 30, and are  given with reference   to the degrees  of freedom.

Posted Date: 2/26/2013 11:09:57 PM | Location : United States







Related Discussions:- Use of t -tables - hypothesis testing , Assignment Help, Ask Question on Use of t -tables - hypothesis testing , Get Answer, Expert's Help, Use of t -tables - hypothesis testing Discussions

Write discussion on Use of t -tables - hypothesis testing
Your posts are moderated
Related Questions
A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i

history of modi

Six Operators are to be assigned to five jobs with the cost of assignment in Rs. given in the matrix below. Determine the optimal assignment. Which operator will have no assignment


Line Balancing Methods - Heuristic Approach  Heuristic mean serving to find i.e. to find out discover things for oneself. Heuristic describes a particular approach to problem so

Question 1 What do you understand by customs duty? Explain the taxable events for imported, warehoused and exported goods. List down the types of duties in customs. An importer

A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i

Classification of documents by information Characteristics: The schemes of classification advocated by Hanson and Grogan are mainly based on the information characteristics of

what is the job scope in or?

Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0