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2) A new quality assurance process developed in Limpopo by Mr Masela for a newly introduced Sephaku Cement results in a mean strength of 5000 with a standard deviation of 120 kilograms. In order for Mr Masela to test the null hypothesis that μl 5000 against the alternative that μ< 5000, He random sampled 50 fragments of this cement and tested them. If his critical region was defined to be y < 4970. What will be his probability of not committing type II error when μ = 4960. A 32°C 9x3

2) A new quality assurance process developed in Limpopo by Mr Masela for a newly introduced Sephaku Cement results in a mean strength of 5000 with a standard deviation of 120 kilograms. In order for Mr Masela to test the null hypothesis that μl 5000 against the alternative that μ< 5000, He random sampled 50 fragments of this cement and tested them. If his critical region was defined to be y < 4970. What will be his probability of not committing type II error when μ = 4960. A 32°C 9x3

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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ii) If Ho is rejected when X₁ X₁ ≤ 6. then what is the probability of type I error? 2) A new quality assurance process developed in Limpopo by Mr Masela for a newly introduced Sephaku Cement results in a mean strength of 5000 with a standard deviation of 120 kilograms. In order for Mr Masela to test the null hypothesis that μ = 5000 against the alternative that μ< 5000, He random sampled 50 fragments of this cement and tested them. If his critical region was defined to be y < 4970. What will be his probability of not committing type II error when μ = 4960. 100 0 32°C
Transcribed Image Text:ii) If Ho is rejected when X₁ X₁ ≤ 6. then what is the probability of type I error? 2) A new quality assurance process developed in Limpopo by Mr Masela for a newly introduced Sephaku Cement results in a mean strength of 5000 with a standard deviation of 120 kilograms. In order for Mr Masela to test the null hypothesis that μ = 5000 against the alternative that μ< 5000, He random sampled 50 fragments of this cement and tested them. If his critical region was defined to be y < 4970. What will be his probability of not committing type II error when μ = 4960. 100 0 32°C
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