Interpret the following three sets of data using two sample t-testing. Each of these columns of data represent a different soda bottling line, with the values representing the amount of soda per bottle in ounces. The business question being asked for each of the three comparisons is "do the two bottling lines bottle the same volume of soda on average, bearing in mind that the sample difference that you may observe could just be coincidence." C7 C9 19.98211161 20.21991732 20.01222779 20.0079905 20.02408348 20.02973774 19.94534311 19.94025705 19.86814073 19.79600386 20.18783677 20.0132734 19.92073773 20.01064317 20.07779807 20.07752232 19.88045277 19.95004595 20.08633493 20.1307584 19.99880616 20.06754738 20.04184157 20.13077781 19.79359909 19.88701336 19.9315869 19.87558528 20.19997583 19.8805322 20.18833422 19.93020074 20.12368493 19.97379775 19.91342638 19.89359712 20.16019815 20.02487435 20.09396294 20.0932945 20.11419214 20.00716523 19.90629711 20.04544911 20.12963763 19.95536849 20.05677479 19.98361472 20.19696502 20.04279091 19.99936949 19.91651948 19.90750615 20.10131596 19.96483433 19.85787145 20.18773889 20.07444389 20.09179552 20.08285754 19.97919741 20.03272094 20.07172472 19.95054127 19.9186015 19.86008607 20.08610577 19.86889257 20.09116566 20.0603623 19.93257783 20.04463284 19.9990732 20.00037497 19.91208123 19.80816339 20.03713763 19.79789065 20.12984181 19.89506926 20.00284906 19.93926736 19.93254786 19.92426335 19.98539723 20.00287564 19.83015033 19.92545918 19.95230674 19.97108971 19.91525526 20.0279513 20.05988921 19.91942185 20.07966361 20.10414158 19.97102073 20.1117549 19.96756892 19.99393659
Interpret the following three sets of data using two sample t-testing. Each of these columns of data represent a different soda bottling line, with the values representing the amount of soda per bottle in ounces. The business question being asked for each of the three comparisons is "do the two bottling lines bottle the same volume of soda on average, bearing in mind that the sample difference that you may observe could just be coincidence." C7 C9 19.98211161 20.21991732 20.01222779 20.0079905 20.02408348 20.02973774 19.94534311 19.94025705 19.86814073 19.79600386 20.18783677 20.0132734 19.92073773 20.01064317 20.07779807 20.07752232 19.88045277 19.95004595 20.08633493 20.1307584 19.99880616 20.06754738 20.04184157 20.13077781 19.79359909 19.88701336 19.9315869 19.87558528 20.19997583 19.8805322 20.18833422 19.93020074 20.12368493 19.97379775 19.91342638 19.89359712 20.16019815 20.02487435 20.09396294 20.0932945 20.11419214 20.00716523 19.90629711 20.04544911 20.12963763 19.95536849 20.05677479 19.98361472 20.19696502 20.04279091 19.99936949 19.91651948 19.90750615 20.10131596 19.96483433 19.85787145 20.18773889 20.07444389 20.09179552 20.08285754 19.97919741 20.03272094 20.07172472 19.95054127 19.9186015 19.86008607 20.08610577 19.86889257 20.09116566 20.0603623 19.93257783 20.04463284 19.9990732 20.00037497 19.91208123 19.80816339 20.03713763 19.79789065 20.12984181 19.89506926 20.00284906 19.93926736 19.93254786 19.92426335 19.98539723 20.00287564 19.83015033 19.92545918 19.95230674 19.97108971 19.91525526 20.0279513 20.05988921 19.91942185 20.07966361 20.10414158 19.97102073 20.1117549 19.96756892 19.99393659
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- Interpret the following three sets of data using two sample t-testing. Each of these columns of data represent a different soda bottling line, with the values representing the amount of soda per bottle in ounces. The business question being asked for each of the three comparisons is "do the two bottling lines bottle the same volume of soda on average, bearing in mind that the sample difference that you may observe could just be coincidence."
| C7 | C9 |
| 19.98211161 | 20.21991732 |
| 20.01222779 | 20.0079905 |
| 20.02408348 | 20.02973774 |
| 19.94534311 | 19.94025705 |
| 19.86814073 | 19.79600386 |
| 20.18783677 | 20.0132734 |
| 19.92073773 | 20.01064317 |
| 20.07779807 | 20.07752232 |
| 19.88045277 | 19.95004595 |
| 20.08633493 | 20.1307584 |
| 19.99880616 | 20.06754738 |
| 20.04184157 | 20.13077781 |
| 19.79359909 | 19.88701336 |
| 19.9315869 | 19.87558528 |
| 20.19997583 | 19.8805322 |
| 20.18833422 | 19.93020074 |
| 20.12368493 | 19.97379775 |
| 19.91342638 | 19.89359712 |
| 20.16019815 | 20.02487435 |
| 20.09396294 | 20.0932945 |
| 20.11419214 | 20.00716523 |
| 19.90629711 | 20.04544911 |
| 20.12963763 | 19.95536849 |
| 20.05677479 | 19.98361472 |
| 20.19696502 | 20.04279091 |
| 19.99936949 | 19.91651948 |
| 19.90750615 | 20.10131596 |
| 19.96483433 | 19.85787145 |
| 20.18773889 | 20.07444389 |
| 20.09179552 | 20.08285754 |
| 19.97919741 | 20.03272094 |
| 20.07172472 | 19.95054127 |
| 19.9186015 | 19.86008607 |
| 20.08610577 | 19.86889257 |
| 20.09116566 | 20.0603623 |
| 19.93257783 | 20.04463284 |
| 19.9990732 | 20.00037497 |
| 19.91208123 | 19.80816339 |
| 20.03713763 | 19.79789065 |
| 20.12984181 | 19.89506926 |
| 20.00284906 | 19.93926736 |
| 19.93254786 | 19.92426335 |
| 19.98539723 | 20.00287564 |
| 19.83015033 | 19.92545918 |
| 19.95230674 | 19.97108971 |
| 19.91525526 | 20.0279513 |
| 20.05988921 | 19.91942185 |
| 20.07966361 | 20.10414158 |
| 19.97102073 | 20.1117549 |
| 19.96756892 | 19.99393659 |
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