BNAD 276 Lecture Notes - Lecture 9: Statistical Hypothesis Testing, Null Hypothesis, Test Statistic

• School: University of Arizona
• Department: Business Administration
• Course: BNAD 276
• Professor: brentmarinan

Document Summary

Ho: mu < or equal to 10. Ha: mu > / < / does not equal munot. Mu not is the number were hypothesizing about. Ho: mu < / > / = munot. Determine if 1 or 2 tail test: One tailed if greater than or less than sign. If one tail test, is it left or right. Rejection region is far right side of normal distribution. Rejection region is far left side of normal distribution. Two tailed if not equal to sign. Rejection region is far left and far right side of normal. If standard deviation is known: z test = (xbar - munot)/(standard dev. root n) If standard deviation is unknown: t test = (xbar - munot)/(s / root n) Use either p-value approach or critical value approach: Calculate critical value from alpha (significance level) If p-value < alpha, you can reject ho (do accept ha) If p-value > alpha, you cannot reject ho (nor accept ha)