Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at
Sheet1
| Hypothesis Test | H0: µ | 16 | ||||
| Observation Number | Data | H1: µ | ||||
| 1 | 15.0 | |||||
| 2 | 15.0 | Mean | 15 | |||
| 3 | 15.0 | Standard Deviation | 0 | |||
| 4 | 15.0 | Median | 15 | |||
| 5 | 15.0 | |||||
| 6 | 15.0 | T Test Statistic | ERROR:#DIV/0! | |||
| 7 | 15.0 | T Crit Value(alpha=.05) | 1.6991270265 | |||
| 8 | 15.0 | T Crit Value(alpha=.025) | 2.0452296421 | |||
| 9 | 15.0 | |||||
| 10 | 15.0 | P-Value | ERROR:#DIV/0! | |||
| 11 | 15.0 | 95% CI | ||||
| 12 | 15.0 | Lower Bound | 15 | 0 | ||
| 13 | 15.0 | Upper Bound | 15 | 0 | ||
| 14 | 15.0 | |||||
| 15 | 15.0 | |||||
| 16 | 15.0 | Cells in Blue need to be keyed | ||||
| 17 | 15.0 | Cells in Orange are formulas | ||||
| 18 | 15.0 | |||||
| 19 | 15.0 | |||||
| 20 | 15.0 | |||||
| 21 | 15.0 | |||||
| 22 | 15.0 | |||||
| 23 | 15.0 | |||||
| 24 | 15.0 | |||||
| 25 | 15.0 | |||||
| 26 | 15.0 | |||||
| 27 | 15.0 | |||||
| 28 | 15.0 | |||||
| 29 | 15.0 | |||||
| 30 | 15.0 |