90 Confidence Interval Narrower Than 95. Typically degrees of confidence vary between 90 and 999 but it is up to the researcher to decide. From the conclusion of question 4 and 5 we know that the confidence interval will.
The remaining parameter you need to round out this analysis is the confidence interval you will be using. For a confidence level there is a corresponding confidence interval about the mean that is the interval within which values of should fall with probability. If you dont know your population mean μ but you do know the standard deviation σ you can find a confidence interval for the population mean with the formula.
The remaining parameter you need to round out this analysis is the confidence interval you will be using.
Precise values of z γ displaystyle z_gamma are given by the quantile function of the normal distribution which the 68-95-997 rule approximates. The 95 confidence interval for this example is between 76 and 84. For a confidence level there is a corresponding confidence interval about the mean that is the interval within which values of should fall with probability. Thats why we have 95 confidence in our interval instead of 100.
