Everyone, welcome to this activity solution lecture for selecting the right control chart for continuous data. Let's look at the first situation. The average handle time or HD is an important metric for a transactions processing business. The process was earlier failing to meet the HD target, you and the process improvement team have completed a six sigma project to improve the average handle time for this business process. You collect a total of hundred observations 20 samples of five teams each you want to ascertain that the process is in statistical control. In this situation, you are measuring the average handle time in seconds.

This indicates that the data is continuous. Additionally, there are 20 samples of five teams each. Thus, there are five subgroups. So you will create an x bar in our control chart. Now let's look at the second situation, you are conducting a study on the pulse rate of nine patients who are on strict diets and exercise routines. You take a pulse rate reading every day for each patient for 20 days.

In this situation, you're measuring the pulse rate, it is continuous. Take the pulse rate reading for nine patients, that's the subgroup size is greater than eight. This indicates that you will use an x bar s chart for this situation. Let's look at the third and the final situation in this activity. As a production manager, you want to monitor the weight of cold cream that gets packed in 35 grams of cold cream bottles. Each bottle should weigh approximately 33 grams.

You monitor the weight of one cold cream bottle each day for 30 consecutive days. Create a control chart to identify Your process is in control. In this situation, you are monitoring the weight of the coal cream bottle. So you are dealing with continuous data. The subgroup size is equal to one. That's you will use an IMR chart.

That brings us to the end of this activity. It is now time to study the next topic, control chart selection for discrete data. Thank you for attending. See you in the next one.