Show transcribed image text 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 (on by examining the data contained concerning a (an) from that in a (an) 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 hypothesis 5)The 6) If the null hypothesis is not rejected, we conclude that the alternative 7) If the null hypothesis is not rejected, we conclude that the null hypothesis 8) A Type I error occurs when the investigator 9) A Type Il error occurs when the investigator hypothesis is the hypothesis that is tested. 10) The probablity of committing a Type I error is designated by the symbol which is also called the 11) Values of the test statistic that separate the acceptance region from the rejection are called 12) The following is a general statement of a decision rule: If, when the null hypothesis is truc values. the probability of obtaining a value of the test statistic as than that actually obtained is less than or equal to , the null hypothesis is Otherwise, the null hypothesis is as or more 13) The probability of obtaining a value of the test statistic as extreme as or more extreme than that actually obtained, given that the tested null hypothesis is true, is called for the test. 14) Vhen one is testing Ho: μ= μ0 on the basis of data from a sample of size n from a normally the test statistic s 15) When one is testing Ho: μ. μ。on the basis of data from a sample of size n from a normally distributed population with a known variance of distributed population with a unknown variance, the test statistic is
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 (on by examining the data contained concerning a (an) from that in a (an) 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 hypothesis 5)The 6) If the null hypothesis is not rejected, we conclude that the alternative 7) If the null hypothesis is not rejected, we conclude that the null hypothesis 8) A Type I error occurs when the investigator 9) A Type Il error occurs when the investigator hypothesis is the hypothesis that is tested. 10) The probablity of committing a Type I error is designated by the symbol which is also called the 11) Values of the test statistic that separate the acceptance region from the rejection are called 12) The following is a general statement of a decision rule: If, when the null hypothesis is truc values. the probability of obtaining a value of the test statistic as than that actually obtained is less than or equal to , the null hypothesis is Otherwise, the null hypothesis is as or more 13) The probability of obtaining a value of the test statistic as extreme as or more extreme than that actually obtained, given that the tested null hypothesis is true, is called for the test. 14) Vhen one is testing Ho: μ= μ0 on the basis of data from a sample of size n from a normally the test statistic s 15) When one is testing Ho: μ. μ。on the basis of data from a sample of size n from a normally distributed population with a known variance of distributed population with a unknown variance, the test statistic is
