Answer:
Step-by-step explanation:
Calculate the t-value using the sample mean, population mean, sample variance, and sample size.
Find the critical t-value from the t-distribution table or software for the given level of significance (α) and degrees of freedom (n - 1).
Compare the calculated t-value with the critical t-value.
If the calculated t-value is greater than the critical t-value, reject the null hypothesis.
If the calculated t-value is less than or equal to the critical t-value, fail to reject the null hypothesis.
In this case, with a level of significance (α) of 0.1 and 12 degrees of freedom, the critical t-value is approximately 1.356 (rounded to three decimal places). Compare the calculated t-value with this critical value to make the decision.