A polymer is manufactured in a batch chemical process. Viscosity measurements are normally made on each batch, and long experience with the process has indicated that the variability in the process is fairly stable with σ = 20. Fifteen batch viscosity measurements are given as follows: 724, 718, 776, 760, 745, 759, 795, 756, 742, 740, 761, 749, 739, 747, 742. A process change that involves switching the type of catalyst used in the process is made. Following the process change, eight batch viscosity measurements are taken: 735, 775, 729, 755, 783, 760, 738, 780.
a. If µ1 - µ2 is the mean batch viscosity before and after the process change, can you conclude that µ1 - µ2 is less than 10 at 0.10 level of significance? Use the confidence interval method – that is, the solution will include a confidence interval, a final conclusion and an explanation for how this interval is used to draw your conclusion.
b. Is your method used in part (a) justified? If not, do you need any additional assumptions?
A polymer is manufactured in a batch chemical process. Viscosity measurements are normally made on each...
A polymer is manufactured in a batch chemical process. Viscosity measurements are normally made on each batch, and long experience with the process has indicated that the variability in the process is fairly stable with σ=20. Fifteen batch viscosity measurements are given as follows: 724, 718, 776, 760, 745, 759, 795, 756, 742, 740, 761, 749, 739, 747, 742. A process change that involves switching the type of catalyst used in the process is made. Following the process change, eight...
A polymer is manufactured in a batch chemical process. Viscosity measurements show that it is approximately normally distributed with a standard deviation of σ = 20. A random sample of 42 batches has a mean viscosity, x-bar = 759. Construct a 99% confidence interval around the true population mean viscosity.
Homework: Week #2(sec. 2.2, 2.3 and 2.5) Score: 0 of 1 pt 2.2.10-T 6 of 20 (11 complete) The accompanying table contains ocean temperature data in a tourist region for the past 125 days. Complete parts a through e below Em Click the icon to view the data table a) Using technology and the ante, construct a frequency distribution for these data Select the correct choice below and fill in the answer boxes to complete your choice. Freguen Cowan Temperatures...
Question 2: How do the average credit scores of people living in various cities in the US differ? The file Credit Score Data of 143 American cities is provided in Canvas. Construct a histogram Create a Five Summary Report Calculate Mean, Variance and Standard Deviation What conclusion can you reach concerning the average credit scores of people living in different American cities? City State Average Credit Score Detroit Mi 743 New York NY 762 Minneapolis MN 787 Hartford CT 774...
The accompanying data contain the rating of large and medium size airports in a particular country, based on a 1000-point maximum. Complete parts (a) through (d) below . a. For large and medium airports separately, construct a 95% confidence interval estimate for the population mean rating The 95% confidence interval estimate for the population mean rating for large size airports is nothing less than or equals≤muμless than or equals≤nothing. (Round to the nearest integer as needed.) The 95% confidence interval...