At a 5% significance level, would the null hypothesis have been rejected in the consumer battery test?

To determine whether the null hypothesis would have been rejected at a 5% significance level, it is critical to understand the context and the results of the consumer battery test.

At a 5% significance level, you are testing whether the results observed are statistically significant enough to conclude that there is an effect or difference, as specified by the alternative hypothesis. If the p-value obtained from the test statistics is less than 0.05, then you reject the null hypothesis, indicating that the evidence is statistically significant.

Assuming the answer provided indicates that the null hypothesis would be rejected, it suggests that the test yielded a p-value lower than 0.05. This would imply there is strong evidence against the null hypothesis, supporting the claim made in the alternative hypothesis.

In contexts where this kind of statistical decision is made, it's important to refer to the actual test results and statistics. However, the assertion of rejecting the null hypothesis at a 5% significance level indicates that there was sufficient evidence from the data to warrant such a conclusion. Having a p-value below this threshold aligns with standard practices in hypothesis testing to assess the likelihood of the observed data under the null hypothesis.

Without the specific data or test statistics, we can still understand that a conclusion