Question: Continue with the data of problem 1. It was noted that the data are not listed here according to production or arrival order.
(a) In addition to the data above, what should have been recorded to monitor (over time) the % moisture content in pepper lot production?
(b) For your conclusions and estimates in problem 1 to fairly represent the future, what must be true (over time) about the pepper lot production process?
Problem: A distributor of spices and seasonings checks moisture content of lots of pepper that it receives from a supplier. The company's specifications on moisture content are from 9 % to 12 %. The following are moisture content data for 22 incoming pepper lots (in %). The data are not listed according to production or arrival order.
(a) Make a normal probability plot for these data. Does it appear that normal distribution is an adequate model for % moisture content in lots of pepper? Why or why not?
(b) Based on the normal probability plot in (a), estimate the mean and standard deviation of % moisture content in a pepper lot.
(c) Make a dot plot for these data.
(d) Make a histogram for these data using 9.25 to 9.49, 9.5 to 9.74, 9.75 to 9.99, 10.0 to 10.24, . . . .., 11.5 to 11.75 as the "bins."
(e) Make a box plot for these data.
(f) Give the first quartile, median, and third quartile for these data. (g) Find the interquartile range for this set of data.