What can be determined about the process based on your analysis of the sample data?

	Process appears to be in control
	Process may be out of control and further investigation is required to determine the root cause(s) of variation in treat weight
	Variation in treat weight is always within design specification limits
	The process is inefficient and must be improved because not all treat weights within each sample are within control limits
	There is insufficient information to make any valid conclusions

A novelty confectionary manufacturer has been receiving customer complaints about their new line of bite-size chocolate treats. Specifically, that they substantially vary in weight. To study this problem, the quality control manager decides to take samples of 10 treats off the line each day during a five-day working week. The information is shown in the following table: Treat weight (grams) Mean ( Range ) (R) Sample 1 2 3 4 5 6 7 8 9 10 1 5.5 5.38 5.87 5.04 5.5 5.92 5.37 5.09 5.92 5.87 5.546 0.88 2 5.92 5.88 5.01 5.1 5.16 5.75 5.05 5.1 5.90 5.65 5.452 0.91 3 5.25 5.47 5.38 5.5 5.76 5.47 5.3 5.45 5.16 5.38 5.412 0.6 4 5.23 5.38 5.3 5.14 5.92 5.57 5.01 5.65 5.2 5.17 5.357 0.91 ] 5.77 5.65 5.7 5.6 5.38 5.1 5.19 5.77 5.53 5.55 5.524 0.67