. In testing the hypothesis Ho : μ = 75 vs H₁ : µ ‡ 75, the following information is known: n=64, x = 78 and ²: = 100. The test statistic is equal to: (a) -2.4 (b) 2.4 (c) 1.96 (d) -1.96 (e) None of the above
. In testing the hypothesis Ho : μ = 75 vs H₁ : µ ‡ 75, the following information is known: n=64, x = 78 and ²: = 100. The test statistic is equal to: (a) -2.4 (b) 2.4 (c) 1.96 (d) -1.96 (e) None of the above
A First Course in Probability (10th Edition)
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![. In testing the hypothesis Ho : μ = 75 vs H₁ : µ ‡ 75, the following information is
known: n=64, x = 78 and ²: = 100. The test statistic is equal to:
(a) -2.4
(b) 2.4
(c) 1.96
(d) -1.96
(e) None of the above](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6035f1a2-2c03-490a-9469-88f7b64e730f%2Fe071a8ea-9fff-4e2e-9cb0-ae2fb068ffd3%2Fkc68kln_processed.png&w=3840&q=75)
Transcribed Image Text:. In testing the hypothesis Ho : μ = 75 vs H₁ : µ ‡ 75, the following information is
known: n=64, x = 78 and ²: = 100. The test statistic is equal to:
(a) -2.4
(b) 2.4
(c) 1.96
(d) -1.96
(e) None of the above
Expert Solution
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Step 1: Introducing the given information
Population mean (µ) = 75
Standard deviations (σ) = √100 = 10
Sample size (n) = 64
Sample mean (x̅) = 78
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