5 Problems in Statistics (Design of Experiments) Essay

5 Problems in Statistics (Design of Experiments) - Essay Example Conclusion: Number of particles after method 2 is higher than after method 1. 6-27 The molecular weight effect is plotted as follows: The data follows a normal probability plot that is skewed to the left. The effect seems to be skewed to the left meaning that the molecular weight effect is centered between 2400 and 2600. Analysis of Variance: The following table describes the analysis of variance of the molecular weight effect. It is noted that the mean is 2499 and standard deviation is 126 which indicates little variance of the molecular weight effect. Curvature is skewed to the left according to the skewness statistic. Regression Analysis: Regression analysis is conducted to predict molecular weight from other factors. First Run: Based on p-value and significance of results. D and B are excluded. Regression Second Run: It is suggested to remove the viscosity variable due to its insignificance. Regression Third Run: Model and equation to predict molecular weight: Molecular weight = 2499.5 + 100.6 (C) + 61.9 (A) The model is adequate as it predicts 70% of molecular weight from A and C. Viscosity is plotted on histogram graph as follows: The histogram of viscosity does not show that the variable is normally distributed. Analysis of Variance: The following table describes the analysis of variance of the viscosity effect. It is noted that the mean is 1499 and standard deviation is 67 which indicates little variance of the molecular weight effect. Curvature is skewed to the left according to the skewness statistic. Regression to predict Viscosity: Based on p-value, it is determined to omit the variables molecular weight. Regression Second Run: Based on p-value, it is determined to... The following table describes the analysis of variance of the molecular weight effect. It is noted that the mean is 2499 and standard deviation is 126 which indicates little variance of the molecular weight effect. Curvature is skewed to the left according to the skewness statistic. The following table describes the analysis of variance of the viscosity effect. It is noted that the mean is 1499 and standard deviation is 67 which indicates little variance of the molecular weight effect. Curvature is skewed to the left according to the skewness statistic. From regression equation: it is determined that to decrease viscosity it is best to increase catalyst concentration. From coefficients of variance it is suggested to decrease time and pressure and increase temperature and molecular weight.

Reeds Clothier Inc Essay Example | Topics and Well Written Essays - 1000 words

Reeds Clothier Inc - Essay Example Reed’s Clothier Inc. To see the actual situation of the firm, we can move forward and discuss Jim’s financial ratios. The first and most important ratio is the current ratio. This gives an idea of liquidity of the firm. It is not good not to be liquid or to be extremely liquidated. The best balanced sheet has a combination of fixed and current assets. Too many of receivables are not good although they may increase the value of assets but they indicate a weak receivable control system. The industry current ratio is 2.7, while for Jim’s company it is 2.01 (Calculated by dividing current assets with current liabilities) Quick ratio for the industry is 1.6. For Jim Reed’s company it is 1.4. 1 : 1 is the least acceptable ratio. Reed’s is lagging behind in both these ratios from industry standards. Another ratio that proves and shows that the Reed’s company is in bad financial shape is Receivable turnover. If this ratio is high, it indicates higher credit policy. If this rati o is low, it shows there are loopholes in receivables policy. The value for industry is 20.1 while this company has the ratio of 26.0. This once again indicates that due to lack of attention, the company finances are suffering. (White, Sondhi and Fried, 1997) Inventory turnover needs to be high as that indicates good sales against inventory. The figure for industry is 7 which is good. The exhibit 5 show that in case of Reed’s the sales are related to inventory, but with increasing stock the increase in sales is not correlation.