Essay on PPG INDUSTRIES: STATISTICAL QUALITY CONTROL

2. Explain the effect that the flow tube radius change had on flow rate. How well did the results compare with your prediction?

Time) because it had a correlation closest to 1. All three orders were graphed and a linear regression was used to see which graphed order was closest to 1. The order was determined by comparing the concentration and time to the mathematical predictions made using the integrated rate laws. Analyzing each graph and finding each correlation helped determine which graph was closest to 1. The more concentrated a solution is, the higher the absorbance of that solution. This is due to Beer’s Law. The law measures the absorbance of a solution by determining how much light passes through a solution. As the concentration of a solution increases, fewer wavelengths of light are able to pass through the concentrated solution. The absorbance at 60 seconds was 0.573 (Figure 1: Table1). To calculate the concentration (molarity), the Beer’s Law equation was used, Abs = slope(m)+b. Plugging in what is known into the Beer’s Law equation resulted in 0.573 = 3.172e+004 + 0, where the concentration is determined by M = 0.573-0/ 3.172e+004. So, the concentration at 60 seconds using the equation (M = 0.573-0 / 3.172e+004) was 1.824e-5 M. The 1st order graph resulted in k=0.006152 (Figure 1: Graph 1). Other groups also resulted in their decolorization of CV to be the 1st rate

4. Calculate the following measures of central tendency for the set of cube measurement data. Show your work or explain your procedure for each.

5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?

Figure 1. The graph illustrates the mean observed heterozygosity of the three lakes. The error bars represent standard deviation.

5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?

8. Analyze: How does the standard deviation relate to the consistency and range of a data set?

Molarity for sol. # 2 = (0.0016 g/l)/(350.13 g/mol) = 4.6 × 10-6 moles/ l

6. Why is the black line so much more variable than the red line? What 's the difference between the data they show?

When a scatter plot's (x,y) points are all pretty close to the "line of best fit", then how would you describe the relationship between the points?

We found that Tube 1 had an absorbance of 0.085, Tube 2 had 0.034, Tube 3 had 0.027, Tube 4 had 0.032, Tube 5 had 0.025, Tube 6 had 0.028, Tube 7 had 0.022, Tube 8 had 0.024, Tube 9 had 0.030, and Tube 10 had an absorbance of 0.022. We then graphed absorbance vs fraction number so that we could demonstrate the absorbance of each tube and found that Tube 1 had our highest value of absorbance. Basically, the first few tubes have the most protein and then the rest drop off as is shown in the graph.

As seen in Figure 2 the haemolymph at each concentration closely follows the equivalence line and each reading at the different seawater concentrations is significantly different from every other data point (p<0.001).

Based on the chart, the mean was calculated by adding up the sum of the list and divide 18, which the number of the total listed prices. The mean is 135,000, which mean the average of the listed price. Secondly, the median was calculated by listing the number in numerical order from lowest to highest and located the number in the middle 126,000. The median represents the middle number of the listed price. After calculating the median I located the minimum and maximum based the lowest and highest data, which are 48,000 and 338,000. These represent the range of the listed price. Lastly, I used the formula to get the

I have placed the results from our experiment in form of a table and will use the average results to form a graph. I have also prepared a graph to show the results throughout the exercise.

Records of all the required sampling, inspection and testing procedures to demonstrate that all the products, formally assessed against the outlined specifications.