Final answer:
Using hypothesis testing, we can conclude that the mean rainfall in the northeastern US is below the reported average, both at alpha = 0.05 and alpha = 0.01 levels.
Step-by-step explanation:
To determine whether it can be concluded that the mean rainfall was below the reported average, we need to perform a hypothesis test.
- Null hypothesis: The mean rainfall is equal to or greater than 11.52 inches.
- Alternative hypothesis: The mean rainfall is less than 11.52 inches.
- Calculate the test statistic using the formula: test statistic = (sample mean - population mean) / (standard deviation / sqrt(sample size)) = (7.42 - 11.52) / (1.3 / sqrt(10)) = -12.12.
- Find the critical value corresponding to alpha = 0.05 from the t-distribution table with 9 degrees of freedom. The critical value is -1.833.
- Since the test statistic (-12.12) is less than the critical value (-1.833), we reject the null hypothesis.
- At alpha = 0.05 level, we conclude that the mean rainfall was below the reported average.
- In the case of alpha = 0.01, the critical value from the t-distribution table with 9 degrees of freedom is -2.821. The test statistic (-12.12) is still less than the critical value, so we reject the null hypothesis at alpha = 0.01 level as well.
- Hence, the correct answer is c) Yes, at α = 0.01, it can be concluded that the mean rainfall was below the reported average.