Which way of dispensing champagne, the traditional vertical method or a tilted beer-like pour, preserves more of the tiny gas bubbles that improve flavor and aroma? The following data was reported in an article. Temp (°C) Type of Pour n Mean (g/L) SD 18 Traditional 4 4.0 0.7 18 Slanted 4 3.7 0.3 12 Traditional 4 3.3 0.4 12 Slanted 4 2.0 0.2 (a) At a significance level of 0.01 , calculate the test statistic and P-value for the 18° temperature. (Round your test statistic to one decimal place and your P-value to three decimal places.) (b) Repeat the test of hypotheses suggested in (a) for the 12° temperature. calculate the test statistic and P-value (Round your test statistic to one decimal place and your P-value to three decimal places.).
Which way of dispensing champagne, the traditional vertical method or a tilted beer-like pour, preserves more of the tiny gas bubbles that improve flavor and aroma? The following data was reported in an article. Temp (°C) Type of Pour n Mean (g/L) SD 18 Traditional 4 4.0 0.7 18 Slanted 4 3.7 0.3 12 Traditional 4 3.3 0.4 12 Slanted 4 2.0 0.2 (a) At a significance level of 0.01 , calculate the test statistic and P-value for the 18° temperature. (Round your test statistic to one decimal place and your P-value to three decimal places.) (b) Repeat the test of hypotheses suggested in (a) for the 12° temperature. calculate the test statistic and P-value (Round your test statistic to one decimal place and your P-value to three decimal places.).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Which way of dispensing champagne, the traditional vertical method or a tilted beer-like pour, preserves more of the tiny gas bubbles that improve flavor and aroma? The following data was reported in an article.
| Temp (°C) | Type of Pour | n | Mean (g/L) | SD |
|---|---|---|---|---|
| 18 | Traditional | 4 | 4.0 | 0.7 |
| 18 | Slanted | 4 | 3.7 | 0.3 |
| 12 | Traditional | 4 | 3.3 | 0.4 |
| 12 | Slanted | 4 | 2.0 | 0.2 |
(a) At a significance level of 0.01 , calculate the test statistic and P-value for the 18° temperature. (Round your test statistic to one decimal place and your P-value to three decimal places.)
(b) Repeat the test of hypotheses suggested in (a) for the 12° temperature. calculate the test statistic and P-value (Round your test statistic to one decimal place and your P-value to three decimal places.).
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