For each of the following tests of hypotheses, determine whether the null hypotheses should be rejected. Use the classical method by finding the lower X₁ and upper x₁ limits for two-tail tests (or one of the two for a one-tail test). Additionally, don't forget to use a t-value (rather than a z-value) when n<30. a. Ho: μ = 6,000 Ha: µμ ‡ 6,000; n = 70; x = 6,150; a = 2,600; α = .01 Reject b. Ho: μ = 50 Ha: µ > 50; n = 24; x = 55; s = 7; α = .05 Reject c. Ho: μ = 400 Ha: µ< 400; n = 56; x = 350; s = 62; a =.03 Don't reject

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For each of the following tests of hypotheses, determine whether the null hypotheses should
be rejected. Use the classical method by finding the lower X₁ and upper xu limits for two-tail
tests (or one of the two for a one-tail test). Additionally, don't forget to use a t-value (rather
than a z-value) when n<30.
a. Ho: μ = 6,000 Ha: μ # 6,000; n = 70; x = 6,150; o = 2,600; α = .01
Reject
b. Ho: μ = 50 Ha: µ > 50; n = 24; x = 55; s = 7; α = .05
c. Ho: μ = 400 Ha: µ < 400; n = 56; x = 350; s = 62; a =.03 Don't reject
Reject
Transcribed Image Text:For each of the following tests of hypotheses, determine whether the null hypotheses should be rejected. Use the classical method by finding the lower X₁ and upper xu limits for two-tail tests (or one of the two for a one-tail test). Additionally, don't forget to use a t-value (rather than a z-value) when n<30. a. Ho: μ = 6,000 Ha: μ # 6,000; n = 70; x = 6,150; o = 2,600; α = .01 Reject b. Ho: μ = 50 Ha: µ > 50; n = 24; x = 55; s = 7; α = .05 c. Ho: μ = 400 Ha: µ < 400; n = 56; x = 350; s = 62; a =.03 Don't reject Reject
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