Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up to produce a large run of resistors of 1,000 ohms each. Use Exhibit 13.7. To set up the machine and to create a control chart to be used throughout the run, 15 samples were taken with four resistors in each sample. The complete list of samples and their measured values are as follows. Use three-sigma control limits. SAMPLE NUMBER 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 READINGS (IN OHMS) 985 974 1021 990 1028 1027 1016 992 981 1016 1000 976 1018 1027 1015 1002 974 976 999 1024 1009 994 977 993 1012 972 Sample Number 998 993 997 996 972 1009 1006 1027 1027 1015 992 986 979 987 1028 974 994 1010 990 1024 990 1000 1006 1018 1015 1015 1004 977 1018 1020 a. Calculate the mean and range for the above samples. (Round "Mean" to 2 decimal places and "Range" to the nearest whole number.) 979 1025 1019 1009 Mean Range

Use the t3 I calculator.

Listed below are pulse rates​ (beats per​ minute) from samples of adult males and females. Does there appear to be a​difference? Find the coefficient of variation for each of the two​ samples; then compare the variation. A. The coefficient of variation for the male pulse rates iS ​(Type an integer or decimal rounded to one decimal place as​ needed.)   B. The coefficient of variation for the female pulse rates is ​(Type an integer or decimal rounded to one decimal place as​ needed.)

our p value is .03 and you chose your α level to be .05. What kind of error could you be making?   a. Type I error   b. Type II error   c. Type I and Type II error   d. Neither errors

The following data gives the means of two samples taken from a population. Test whether there is any significant difference between the two samples at 95% level. * = 60, y = 59, n₁ = 100, n₂ = 200 and a = 50. a. 1.46 b. 1.45 c. 1.604 d. 1.640 e. NONE OF THE ABOVE A OB O OE

To determine if their 1.33 centimeter galvanized pipes are properly adjusted, Fogarty Manufacturing has decided to use an X-Chart which uses the range to estimate the variability in the sample. Answer Step 5 of 7: Use the following sample data, taken from the next time period, to determine if the process is "In Control" or "Out of Control". Observations: 1.41, 1.37, 1.34, 1.4, 1.39 Sample Mean: 1.382 ©2024 Hawkes Learning WN 45678 15 Table 9 10 11 12 13 Period obs1 obs2 1 2 1.3340 1.3260 obs3 obs4 obs5 Sample Mean Sample Range 1.34 1.29 1.35 1.33 1.35 1.3320 1.35 1.35 1.29 1.38 1.28 1.3300 3 1.34 1.35 1.32 1.33 1.34 1.3360 1.36 1.29 1.37 1.35 1.30 1.29 1.31 1.33 1.32 1.38 1.31 1.32 1.31 1.31 1.34 1.3180 1.34 1.38 1.31 1.29 1.33 1.35 1.33 1.30 1.35 1.32 1.34 1.37 1.28 1.36 1.37 1.37 1.29 1.30 1.28 1.30 1.35 1.32 1.29 1.36 1.38 1.36 1.32 1.31 1.29 1.37 1.3300 1.3300 1.3440 1.3080 1.3400 1.30 1.35 1.3280 1.35 1.32 1.3300 14 1.35 1.35 1.34 1.32 1.3400 1.32 1.36 1.29 1.32 1.3280 Control…

To determine if their 1.33 centimeter galvanized pipes are properly adjusted, Fogarty Manufacturing has decided to use an X-Chart which uses the range to estimate the variability in the sample. Answer Table Step 4 of 7: Use the following sample data, taken from the next time period, to determine if the process is "In Control" or "Out of Control". Observations: 1.4, 1.42, 1.38, 1.37, 1.4 Sample Mean: 1.394 Period 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Control Chart Copy Table Average Values The average of the selected cell(s) is 1.340. Copy Value obs1 obs2 obs3 obs4 obs5 Sample Mean Sample Range 1.34 1.29 1.35 1.33 1.35 1.3320 1.35 1.35 1.29 1.38 1.28 1.3300 1.34 1.35 1.32 1.33 1.34 1.3360 1.36 1.29 1.37 1.35 1.30 1.3340 1.29 1.31 1.33 1.32 1.38 1.3260 1.31 1.32 1.31 1.31 1.3180 1.34 1.33 1.3300 1.38 1.31 1.29 1.34 1.35 1.33 1.30 1.35 1.32 1.3300 1.34 1.37. 1.28 1.36 1.3440 1.37 1.30 1.3080 1.37 1.29 1.30 1.28 1.35 1.36 1.32 1.31 1.32 1.29 1.36 1.38 1.3400 1.3280 1.30 1.35 1.32 1.32 1.29…