Answer:
Ah, a classic case of comparing two groups! It sounds like the Toasty Tortilla Company needs to do a little hypothesis testing to see if their plants are performing differently. Let's break this down:
1. The Hypothesis:
* Null Hypothesis (H0): There is NO significant difference in the mean weight of tortilla bags filled by the two plants.
* Alternative Hypothesis (H1): There IS a significant difference in the mean weight of tortilla bags filled by the two plants.
2. The Test:
Since we're comparing the means of two independent groups (bags from Plant 1 vs. Plant 2), we'll want to use a two-sample t-test.
3. The Data
You'll need the following:
* A sample of tortilla bag weights from Plant 1.
* A sample of tortilla bag weights from Plant 2.
4. The Analysis:
You'll need to calculate the following:
* The mean weight of the bags from each plant.
* The standard deviation of the bag weights from each plant.
* The sample size for each plant.
With this information, you can use a statistical software package or an online t-test calculator to get your t-statistic and p-value.
5. The Conclusion
* High p-value (typically > 0.05): We fail to reject the null hypothesis. There's not enough evidence to say the plants fill bags differently.
* Low p-value (typically < 0.05): We reject the null hypothesis and accept the alternative hypothesis. There's enough evidence to say the plants fill bags differently.
Remember: The Toasty Tortilla Company should consider factors beyond just the statistical results, such as the practical significance of any difference in weight and the costs/benefits of making changes.
#answer was generated by kycb in Telegram
Step-by-step explanation:
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