Q1) In a sausage factory, quality managers are studying the compliance of the sausages with the requirements. Any sausage having pin holes, air pockets, deformation or breakage in its casings is counted as defective and total number of such defective sausages alone is noted in each shift. The following data represents the number of defective sausages in samples of 200 sausages taken from 10 shifts. Percent Sample Defectives Defective 1 40 20% 28 14% 3 15 8% 4 23 (а) 20 10% 21 11% 7 19 10% 15 8% 9. 16 8% 10 17 9% a. Calculate the value for (a) in the table above. b. Calculate p-bar based on the samples above. c. What is the UCL and LCL for a p chart based on the data provided and a desired control level of 99.74%?

Find the 5 number summary for the data shown 5.4 7 9.2 13.8 19.9 21.9 23.3 26.1 5 number summary: Use the Locator/Percentile method described in your book, not your calculator. Submit Question E

Review this chart. Identify what type of figure/chart is presented and briefly explain what each chart is reporting.

You decide that you want to make sure your estimate from part a is correct. You go out and gather 10 simple random samples of 25 people in your school and calculate the proportion of students within each sample whose Amazon packages arrive within two business days of ordering.  The proportion of customers that receive their packages within two days of ordering are given below.  0.70, 0.75, 0.6, 0.95, 0.90, 0.73, 0.87, 0.86, 0.92, 0.97 Explain why all of the sample proportions are not the same.

How many observations are in the data set? How do I calculate this in the "R" program?

To determine if their 1.50 inch steel handles are properly adjusted, Smith & Johnson Industries has decided to use an X-Chart which uses the range to estimate the variability in the sample. Step 1 of 7: What is the Center Line of the control chart? Round your answer to three decimal places. Table Period 1 2 Control Chart AnswerHow Select the Copy Table button to copy all values. To select an entire row or column, either click on the row or column header or use the Shi and arrow keys. To find the average of the selected cells, select the Average Values button. Copy Table 456789 Sample Mean Sample Range obs1 obs2 obs3 obs4 obs5 obs6 1.46 1.50 1.46 1.53 1.55 1.54 1.5067 1.54 1.45 1.49 1.4983 1.53 1.46 1.52 1.45 1.47 3 1.50 1.54 1.47 1.51 1.4900 1.53 1.47 1.50 1.53 1.5067 1.46 1.45 1.49 1.4850 1.51 1.5117 1.49 1.52 1.54 1.50 1.46 1.54 1.53 1.46 1.51 1.52 1.49 1.46 1.50 1.47 1.47 1.53 1.53 1.50 1.47 1.52 1.45 1.51 1.52 1.54 1.54 1.50 1.5050 1.5067 1.55 1.49 1.54 1.5083 1.51 1.54 1.5050 1.49…

N To determine if their 1.50 inch steel handles are properly adjusted, Smith & Johnson Industries has decided to use an X-Chart which uses the range to estimate the variability in the sample. Answe Step 2 of 7: What is the Upper Control Limit? Round your answer to three decimal places. Table 1 2 Control Chart Select the Copy Table button to copy all values. To select an entire row or column, either click on the row or column header or use the Shift and arrow keys. To find the average of the selected cells, select the Average Values button. Copy Table Average Values The average of the selected cell(s) is 1.460. Copy Value 34 Period obs1 obs2 obs3 obs4 obs5 obs6 Sample Mean Sample Range 1.46 1.50 1.46 1.53 1.55 1.54 1.5067 1.54 1.45 1.49 1.53 1.46 1.52 1.4983 1.50 1.54 1.47 1.51 1.45 1.47 1.4900 1.49 1.52 1.53 1.47 1.50 1.53 1.5067 5 1.46 1.45 1.49 1.4850 6 1.51 1.51 1.52 1.5117 7 1.53 1.50 1.47 1.54 1.5050 8 1.50 1.5067 1.54 1.50 1.47 1.46 1.54 1.53 1.53 1.46 1.51 1.52 1.50 1.47 1.54…

Q1]. [30%] The data for this question given in the table below come from the sample data folder of MINITAB. The data give you the monthly number of people employed (in units of 1000) in the retail trade industry in the state of Wisconsin from January 1970 to December 1974. Copy this timeseries data into an excel spreadsheet in your home area first before you start your analysis. You can use Excel to answer this question. Month 1970 1971 1972 1973 1974 1 322 322 330 348 361 2 317 318 326 345 354 3 319 320 329 349 357 4 323 326 337 355 367 5 327 332 345 362 376 6 328 334 350 367 381 7 325 335 351 366 381 8 326 336 354 370 383 9 330 335 355 371 384 10 334 338 357 375 387 11 337 342 362 380 392 12 341 348 368 385 396 (a) (b) (c) (d) Draw a time series plot of the data and comment on any noticeable patterns. Describe an appropriate time series model for this data, giving your reasons, and obtain estimates of the components of your model using the decomposition method. Using your model…