EXERCISES Part A: Answer the following questions: (1-26) 1) The purpose of hypot
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Question
EXERCISES Part A: Answer the following questions: (1-26) 1) The purpose of hypothesis testing is to aid the manager or researcher in reaching a (an) concerning a (an) by examining the data contained in a (an )from that 2) A hypothesis may be defined simply as 3) There are two statistical hypotheses. They are the hypothesis and the hypothesis. 4) The statement of what the investigator is trying to conclude is usually placed in the 5) The hypothesis is the hypothesis that is tested. 6) If the null hypothesis is not rejected, we conclude that the alternati 7) If the null hypothesis is not rejected, we conclude that the null hypothesis 8) A Type I error occurs when the investigator hypothesis. 9) A Type II error occurs when the investigator 10) The probability of committing a Type I error is designated by the symbol which is also called the ion from the reiection are calledExplanation / Answer
1. The purpose of hypothesis testing is to aid the manager or researcher in reaching a decision (or conclusion) concerning a population by examining the data contained in a sample from a population.
2.A hypothesis may be defined simply as a statement about one or more population (which may or may not be correct) .
3. There are two statistical hypotheses. They are the Null hypothesis and the Alternative hypothesis.
4.The statement of what the investigator is trying to conclude is usually placed in the Alternative hypothesis.
5. The Null hypothesis is the hypothesis that is tested.
6. If the null hypothesis is not rejected, we conclude that the alternative hypothesis is false.
7. If the null hypothesis is not rejected, we conclude that the null hypothesis is true.
8. A Type I error occurs when the investigator rejects Null hypothesis when it is true.
9. A Type II error occurs when the investigator accepts Null hypothesis when it is false.
10. The probabitlity of commmiting a type I error is designated by a symbol (alpha) which is also called the size of the test or level of significance of the test.
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