Question

Crews, inc. has been contracted to make foolio. the recipe calls for 100 milligrams of taurine in each 16 ounce bottle. to make sure that they are in compliance, t. crews has pulled eight bottles of foolio from its last eleven batches and tested them for taurine content. the data from these tests is below: what is uclr? mg taurine per bottle batch bottle 1 bottle 2 bottle 3 bottle 4 bottle 5 bottle 6 bottle 7 bottle 8 1 103.37 104.15 105.02 105.90 105.45 107.15 109.02 109.50 2 101.00 99.42 96.72 98.50 95.13 96.15 98.83 93.30 3 103.30 100.11 101.96 102.40 100.37 100.22 106.50 101.20 4 101.00 99.73 108.31 103.75 109.70 100.35 108.00 95.93 5 101.35 104.62 108.12 103.10 99.69 103.83 97.16 104.11 6 98.05 98.58 97.35 100.25 101.39 100.55 101.34 109.07 7 96.65 98.96 92.61 107.28 97.08 99.75 107.35 104.48 8 107.00 103.56 101.39 97.65 103.65 102.62 98.26 100.67 9 100.97 103.42 101.98 99.36 112.08 103.18 100.75 104.36 10 107.15 98.30 98.25 105.33 97.45 99.12 103.95 103.71 11 107.02 104.07 106.00 101.89 102.51 103.06 102.48 97.87

Answer 1

UCLR typically means Upper Control Limit Range, which is part of process control and statistical quality control, and would represent the upper boundary of variability in taurine content for the bottle production. Calculating the UCL involves obtaining the mean and standard deviation, but the actual calculations cannot be completed without further information.

Step-by-step explanation:

The term UCLR could potentially stand for Upper Control Limit Range, but without more context, it's unclear exactly what the acronym means in this scenario. Typically, control limits are part of statistical quality control, particularly in the context of process control and six sigma methodologies. The upper control limit (UCL) is a boundary that is set for a process, above which, the process is considered out of control. A process range represents the variability within a data set, and the upper limit of this range would be the UCLR. To calculate the UCL for taurine content in the bottles, statistical methods like calculating the mean and standard deviation for taurine levels would be applied, and then a factor would be used to determine the UCL based on the desired confidence level for the process capability.

To ascertain the UCL for the given data, one would first calculate the average taurine content for each batch, then determine the standard deviation for the entire dataset, and finally compute the UCL by adding a specific multiplier of the standard deviation to the overall mean of the taurine content across all batches. However, the specific calculations cannot be provided here without additional information, such as the desired confidence level or the standard for the industry in terms of acceptable variation from the 100 milligram target.

Answer 2

The number of 7 bottle from the 128 milligrams