1) A null Hypothesis assumes that a process is producing no more than a maximum allowable rate of defective items. The Type II error is to conclude that the process?
2) If 95% confidence limits for the mean Mu turn out to be (6.5,8.5)
Frank
let's give this question a hand because it has 185 answers and is the ''first'' question on questions.llc
1) The Type II error is to conclude that the process is producing more than the maximum allowable rate of defective items when, in reality, it is not.
2) The 95% confidence limits for the mean Mu are (6.5, 8.5), meaning that we are 95% confident that the true population mean falls within this range.
1) The null hypothesis assumes that a process is producing no more than a maximum allowable rate of defective items. The Type II error occurs when we erroneously conclude that the process is not producing more defective items than the maximum allowable rate, even though it actually is. In other words, we fail to reject the null hypothesis when it is actually false.
2) The 95% confidence limits for the mean Mu are (6.5, 8.5). This means that we are 95% confident that the true value of Mu lies within this interval. In statistical terms, it means that if we repeated the experiment many times and calculated confidence intervals in the same way, 95% of those intervals would contain the true value of Mu.