Applications of Testing of Hypothesis Independent random samples selected from two binomial populations produced the results given in the table 5. Number of successes Sample sizes Sample 1 80 100 Sample 2 74 100 a. Test Ho: (P₁-P₂)=0, Ha: (P₁-P₂)>0, at a=10 b. Suppose n₁ = n₂ =1,000, but the sample estimates p,,p₂, and p remain the same as in part a. Test H, (P₁-P₂)-o, H: (P₁-P₂)>0, at a=.05.

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Applications of Testing of Hypothesis
Independent random samples selected from two binomial populations produced the
results given in the table
5.
Sample 1
80
100
6.
Sample 2
74
100
Number of successes
Sample sizes
a. Test Ho: (P₁-P₂)=0, Ha: (P.-P₂)>o, at a=.10
b. Suppose n₁ = n₂ =1,000, but the sample estimates P₁, P₂, and p remain the same
as in part a. Test H, (P₁-P₂)-o, H: (p₁ -P₂)>0, at a=.05.
Applications of Testing of Hypothesis
random sample of n = 10 observations yields x=231.7and s² = 15.5. Test the null
hypothesis Ho: o = 20 against the alternative hypothesis
H₁: < 20. Use a = .05. What assumptions are necessary for the test to be valid.
Transcribed Image Text:Applications of Testing of Hypothesis Independent random samples selected from two binomial populations produced the results given in the table 5. Sample 1 80 100 6. Sample 2 74 100 Number of successes Sample sizes a. Test Ho: (P₁-P₂)=0, Ha: (P.-P₂)>o, at a=.10 b. Suppose n₁ = n₂ =1,000, but the sample estimates P₁, P₂, and p remain the same as in part a. Test H, (P₁-P₂)-o, H: (p₁ -P₂)>0, at a=.05. Applications of Testing of Hypothesis random sample of n = 10 observations yields x=231.7and s² = 15.5. Test the null hypothesis Ho: o = 20 against the alternative hypothesis H₁: < 20. Use a = .05. What assumptions are necessary for the test to be valid.
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