In hypothesis testing for a population mean, the term "significant difference" implies a: A) difference between...
In hypothesis testing for a population mean, the term "significant difference" implies a:
A) difference between the sample mean and the hypothesized population mean that leads to the rejection of the null hypothesis.
B) difference between the test statistic and the critical region.
C) difference between the one-sided test and the two-sided test.
D) difference between the sample standard deviation and the population standard deviation.
Homework Answers
Answer is option A.
In testing problem for population mean to he tested our null hypothesis is taken as the population mean is equal to sample mean or there is no significant difference between the sample mean and population mean. And the alternative hypothesis is that there is significant difference between the sample mean and population mean. That means if there is significant difference between sample mean and population mean we reject the null hypothesis and accept the alternative hypothesis.
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