For the hypothesis test Ho: μ = 14 against H₁ < 14 with variance unknown and n = 10, find the best approximation for the P-value for the test statistic to 2.169. 0.975 ≤p≤ 0.990 O 0.025 ≤ p ≤ 0.050 O 0.9950 ≤ p≤ 0.9975 O 0.950 ≤ p≤ 0.975 0.0025 ≤p ≤ 0.0050
For the hypothesis test Ho: μ = 14 against H₁ < 14 with variance unknown and n = 10, find the best approximation for the P-value for the test statistic to 2.169. 0.975 ≤p≤ 0.990 O 0.025 ≤ p ≤ 0.050 O 0.9950 ≤ p≤ 0.9975 O 0.950 ≤ p≤ 0.975 0.0025 ≤p ≤ 0.0050
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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![For the hypothesis test Ho: μ = 14
against H₁:μ< 14 with variance
unknown and n = 10, find the best
approximation for the P-value for the test
statistic to = 2.169.
0.975 ≤p ≤ 0.990
0.025 ≤ p≤ 0.050
0.9950 ≤ p≤ 0.9975
0.950 ≤p ≤ 0.975
0.0025 ≤p ≤ 0.0050](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbcbef974-bbb6-4c1a-bded-5f7edf6bae7b%2F4a64bf5b-df50-48a2-9e0a-1177af0e3dae%2F3pn4nxe_processed.jpeg&w=3840&q=75)
Transcribed Image Text:For the hypothesis test Ho: μ = 14
against H₁:μ< 14 with variance
unknown and n = 10, find the best
approximation for the P-value for the test
statistic to = 2.169.
0.975 ≤p ≤ 0.990
0.025 ≤ p≤ 0.050
0.9950 ≤ p≤ 0.9975
0.950 ≤p ≤ 0.975
0.0025 ≤p ≤ 0.0050
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