Final answer:
To find the average (mean) number of defective bushings in the ten consecutive samples, add up the number of defective bushings in each sample and divide by the total number of samples. To determine if there is a trend or pattern in the data suggesting a change in the manufacturing process, plot the number of defective bushings for each sample on a graph and analyze the trend.
Step-by-step explanation:
The average (mean) number of defective bushings in the ten consecutive samples can be found by adding up the number of defective bushings in each sample and dividing by the total number of samples.
For example, if the number of defective bushings in each sample is as follows: 3, 2, 1, 4, 2, 3, 2, 1, 3, 4, then the average (mean) number of defective bushings would be (3+2+1+4+2+3+2+1+3+4)/10 = 2.6.
To determine whether there is a trend or pattern in the data that suggests a change in the manufacturing process over time, you could plot the number of defective bushings for each sample on a graph and analyze the trend. If the number of defective bushings is increasing or decreasing over time, it could indicate a change in the manufacturing process.