is test for a population mean żyBooks catalog A poultry farm sells eggs classified as large, which requires the mean weight of the individual eggs to be 2 oz. The department of weights and measures weighs a random sample of 500 eggs to determine if the mean weight is less than 2 oz at a significance level of 0.05. The results of the sample are given below. Egg weight Mean 2.0029342 Variance 0.0037364 Observations 500 Hypothesized Mean 2 df 499 t Stat 1.0733641 P(T<=t) one-tail t Critical one-tail 0.1418133 1.647913 P(T<=t) two-tail t Critical two-tail 0.2836266 1.9647294 121 3 t-statistic = Ex: 1.9543 p-value = Ex: 0.1845 Since the p-value is Pick than the significance level 0.05, the null hypothesis Pick

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# T-Test for a Population Mean

## Introduction
A poultry farm sells eggs classified as large, which requires the mean weight of the individual eggs to be 2 ounces. The department of weights and measures weighs a random sample of 500 eggs to determine if the mean weight is less than 2 ounces at a significance level of 0.05. The results of the sample are given below:

### Egg Weight Statistics
- **Mean:** 2.0029342 ounces
- **Variance:** 0.0037364
- **Observations:** 500
- **Hypothesized Mean:** 2 ounces
- **Degrees of Freedom (df):** 499

## T-Test Results
- **t-Statistic:** 1.0733641
- **P(T ≤ t) one-tail:** 0.141833
- **t Critical one-tail:** 1.647913
- **P(T ≤ t) two-tail:** 0.2836266
- **t Critical two-tail:** 1.9647294

## Graphical Representation
The accompanying graph is a standard bell curve representing the distribution of the t-statistic. The shaded area under the curve corresponds to the p-value (0.1845), representing the probability of observing the sample data assuming the null hypothesis is true.

## Conclusion
Since the p-value is greater than the significance level of 0.05, we fail to reject the null hypothesis. This suggests there is insufficient evidence to conclude that the mean weight of the eggs is less than 2 ounces.

## User Interaction
- There is a dropdown menu for selecting the outcome (e.g., "Pick") concerning the null hypothesis.
- A button labeled "Check" is available for user interaction to verify the selected conclusion.

### Note
Statistical analysis like this can help ensure product quality and compliance with industry standards.
Transcribed Image Text:# T-Test for a Population Mean ## Introduction A poultry farm sells eggs classified as large, which requires the mean weight of the individual eggs to be 2 ounces. The department of weights and measures weighs a random sample of 500 eggs to determine if the mean weight is less than 2 ounces at a significance level of 0.05. The results of the sample are given below: ### Egg Weight Statistics - **Mean:** 2.0029342 ounces - **Variance:** 0.0037364 - **Observations:** 500 - **Hypothesized Mean:** 2 ounces - **Degrees of Freedom (df):** 499 ## T-Test Results - **t-Statistic:** 1.0733641 - **P(T ≤ t) one-tail:** 0.141833 - **t Critical one-tail:** 1.647913 - **P(T ≤ t) two-tail:** 0.2836266 - **t Critical two-tail:** 1.9647294 ## Graphical Representation The accompanying graph is a standard bell curve representing the distribution of the t-statistic. The shaded area under the curve corresponds to the p-value (0.1845), representing the probability of observing the sample data assuming the null hypothesis is true. ## Conclusion Since the p-value is greater than the significance level of 0.05, we fail to reject the null hypothesis. This suggests there is insufficient evidence to conclude that the mean weight of the eggs is less than 2 ounces. ## User Interaction - There is a dropdown menu for selecting the outcome (e.g., "Pick") concerning the null hypothesis. - A button labeled "Check" is available for user interaction to verify the selected conclusion. ### Note Statistical analysis like this can help ensure product quality and compliance with industry standards.
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