Step 1 :Check the normality of the dataset: Shapiro-Wilk test p-value is \(0.892 > 0.05\), indicating the dataset is normally distributed.
Step 2 :State null hypothesis (H0): The dataset is normally distributed. Alternative hypothesis (H1): The dataset is not normally distributed.
Step 3 :Perform t-test: t-test statistic is \(-7.39\) and p-value is \(7.50e-07\).
Step 4 :Test hypotheses: Reject H0 as the t-test p-value is less than the significance level \(7.50e-07 < 0.05\).
Step 5 :\(\boxed{\text{Conclusion}}\): There is a significant difference between the two datasets. The company should investigate the factors causing this difference and take appropriate actions.