1. A banana company cdlaims that the mean weight of their banana is 150 grams with a standar deviation of 18 grams. Data generated from a sample of 49 bananas randomly selected indicated mean weight of 153.5grams per banana. Is there sufficient evidence to reject the company's claim? Us a = 0.05. From the given problem #1 discuss the following: 1. define and illustrate the null hypothesis, alternative hypothesis, level of significance. (Provide explanation) 2. identify the parameter to be tested. (Provide Explanation) 3. identify the appropriate form of test statistics. (Provide Explanation)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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1. A banana company claims that the mean weight of their banana is 150 grams with a standard
deviation of 18 grams. Data generated from a sample of 49 bananas randomly selected indicated a
mean weight of 153.5grams per banana. Is there sufficient evidence to reject the company's claim? Use
a = 0.05.
From the given problem #1 discuss the following:
1. define and illustrate the null hypothesis, alternative hypothesis, level of significance. (Provide
explanation)
2. identify the parameter to be tested. (Provide Explanation)
3. identify the appropriate form of test statistics. (Provide Explanation)
4. identify the rejection and non-rejection regions and the critical values. (Provide Explanation)
5. Make a conclusion base from the result you obtain. (Provide Explanation)
6. identify if it is a Type I and Type IlI errors in claims and decisions (Provide Explanation)
Transcribed Image Text:1. A banana company claims that the mean weight of their banana is 150 grams with a standard deviation of 18 grams. Data generated from a sample of 49 bananas randomly selected indicated a mean weight of 153.5grams per banana. Is there sufficient evidence to reject the company's claim? Use a = 0.05. From the given problem #1 discuss the following: 1. define and illustrate the null hypothesis, alternative hypothesis, level of significance. (Provide explanation) 2. identify the parameter to be tested. (Provide Explanation) 3. identify the appropriate form of test statistics. (Provide Explanation) 4. identify the rejection and non-rejection regions and the critical values. (Provide Explanation) 5. Make a conclusion base from the result you obtain. (Provide Explanation) 6. identify if it is a Type I and Type IlI errors in claims and decisions (Provide Explanation)
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