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Problem #4. Suppose the null hypothesis is $H_0: \mu \ge 80$ hours, and the p value calculated from the sample data was found to be .032 (3.2%). 5) a) What is the alternative hypothesis? Answer: $H_1: \mu$ 6) b) What conclusion can be drawn based on the p value of 3.2%? Answer:

          Problem #4. Suppose the null hypothesis is $H_0: \mu \ge 80$ hours, and the p value calculated from the sample data was found to be .032 (3.2%).
5) a) What is the alternative hypothesis?
Answer: $H_1: \mu$
6) b) What conclusion can be drawn based on the p value of 3.2%?
Answer:
        
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Problem #4. Suppose the null hypothesis is H0: μ≥ 80 hours, and the p value calculated from the sample data was found to be .032 (3.2%).
5) a) What is the alternative hypothesis?
Answer: H1: μ
6) b) What conclusion can be drawn based on the p value of 3.2%?
Answer:

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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Problem #4. Suppose the null hypothesis is Ho: μ = 80 hours, and the p-value calculated from the sample data was found to be 0.032 (3.2%). a) What is the alternative hypothesis? Answer: H: b) What conclusion can be drawn based on the p-value of 3.2%? Answer:
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00:01 Let's solve this question here.
00:03 The null hypothesis h0 such that sigma square is less than or equals to 60 and the alternative hypothesis hs such that sigma square is greater than 60.
00:14 Now here we have given n is equals to 16, s square is equals to 100 and alpha that is equals to 0 .05.
00:23 So, therefore first of all we will find the c square test statistic that can be computed as n minus 1 multiplied by s square divided by sigma square.
00:38 So, that is equals to we will get 16 minus 1 multiplied by 100 divided by 60 is equals to 25...
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