Twenty-five samples of 100 items each were inspected when a process was consideredto be operating satisfactorily. In the 25 samples, a total of 135 items were found to bedefective.a. What is an estimate of the proportion defective when the process is in control?b. What is the standard error of the proportion if samples of size 100 will be used forstatistical process control?c. Compute the upper and lower control limits for the control chart

In an attempt to develop a model of wine quality as judged by wine experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12 wines, a model was created using the percentages of alcohol to predict wine quality. For those data, SSR = 18,858 and SST = 29,285. Use this information to complete parts (a) through (c) below. a. Determine the coefficient of determination, r², and interpret its meaning. 2² = (Round to three decimal places as needed.) Interpret the meaning of r². It means that% of the variation in (Round to one decimal place as needed.) b. Determine the standard error of the estimate. Syx = (Round to four decimal places as needed.) can be explained by the variation in

For this project you have to do the following: 1) list five different things that are normally distributed. Examples that you can't use since I came up with them: Shoe size, middle finger length, oxygen level, electricity bill, wait times on line to pay at target. You must give the website where you found that they are normal for each one of them. 2) measure yourself and use the normal distribution to find out what percent of the population is less than use. What this means is that for one of the five things in 1) you need to make sure that you can find the mean and standard deviation. So an example would be: I found the oxygen level mean and standard deviation to be 98.3 and 1.1. My oxygen level is 98.9. Using the normal distribution calculator I found that 69.3% of the population has a lower measure of that.

It costs more to produce defective items—since they must be scrapped or reworked—than it does to produce non-defective items. This simple fact suggests that manufacturers should ensure the quality of their products by perfecting their production processes instead of depending on inspection of finished products (Deming, 1986). In order to better understand a particular metal stamping process, a manufacturer wishes to estimate the mean length of items produced by the process during the past 24 hours.   a. How many parts should be sampled in order to estimate the population mean to within .2 millimeter (mm) with 95% confidence? Previous studies of this machine have indicated that the standard deviation of lengths produced by the stamping operation is about 2 mm.  b. Time permits the use of a sample size no larger than 225. If a 95% confidence interval for m is constructed with n = 225, will it be wider or narrower than would have been obtained using the sample size determined in part a?…