Step 1 :In a survey conducted by the Gallup Organization, 1100 adult Americans were asked how many hours they worked in the previous week. Based on the results, a $95 \%$ confidence interval for the mean number of hours worked had a lower bound of 42.7 and an upper bound of 44.5. We are asked to provide two recommendations for decreasing the margin of error of the interval.
Step 2 :The margin of error in a confidence interval is influenced by three factors: the confidence level, the standard deviation of the population, and the sample size.
Step 3 :The higher the confidence level, the wider the confidence interval, and thus the larger the margin of error. Therefore, decreasing the confidence level would decrease the margin of error.
Step 4 :The larger the standard deviation, the wider the confidence interval, and thus the larger the margin of error. Therefore, decreasing the standard deviation would decrease the margin of error.
Step 5 :The smaller the sample size, the wider the confidence interval, and thus the larger the margin of error. Therefore, increasing the sample size would decrease the margin of error.
Step 6 :Based on these observations, the two recommendations that would decrease the margin of error of the interval are: Decrease the confidence level, Decrease the standard deviation of hours worked, Increase the sample size.
Step 7 :Final Answer: \(\boxed{\text{A, D, F}}\)