Each day, an electronics manufacturer creates thousands of small fan motors for computers. The speed (i.e., revolutions per minute) with which the motors run must be in a certain range. Motors that run too slowly will not cool a computer properly; motors that run too fast will wear out prematurely. The following R chart monitors the amount of variability of the speed (in rpm's) of subgroups of 8 motors that have been selected each hour for testing:

R chart Go JauntwNO- NWAVAN 3 9 11 13 15 17 19 21 23 25 27 29 31 Subgroup number For a process such as this to be "in statistical control," only random patterns of points should appear on the control chart. The process is "not in statistical control" when any non-random patterns appear on the chart. Three commonly used tests or rules for signaling that a process may not be in statistical control are: Rule 1: One or more points fall outside one of the chart's control limits Rule 2: Nine points in a row are on the same side of the chart's centerline Rule 3: Six points in a row are increasing (or decreasing). Using these three rules, identify which (if any) of the rules gives an "out of control" signal, and indicate the subgroup number at which the signal is first given. Does the rule give an "out What is the subgroup Rule # of control" signal? (Check number at which the the box that applies) signal is first given? 1 Yes No 2 Yes No 3 Yes No C