A First Course in Probability (10th Edition)
10th Edition
ISBN: 9780134753119
Author: Sheldon Ross
Publisher: PEARSON
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- In a fabric manufacturing factory , the quality control process using control charts from SPC . In an hour there are a total of 5 samples are taken each having 5 observations regarding the thickness of fabric in measured in millimeters . In a particular hour , the sample means (X -bar) are noted to be : 156.46 , 199.62 , 189.31 , 102.22 , and112.09 respectively . In the same sample , the corresponding ranges are : 11.97 , 12.17 , 13.94, 11.8 11.86 , and 11.83 respectively . What are the lower and upper control limits for the R chart ? a . 0, 25.12 b. 0,30.07 c. 0,28.17 d. None is correct e. 0,26.07 f. 0,29.17arrow_forwardThe following table gives the cost of living index for 1998 with 1986 as base for different commodity groups: Food, Clothing, Fuel and Light, Rent and Miscellaneous as 440, 500, 350, 400 and 250 respectively with their weights in order in the ratio 15: 1:2:3:4. Obtain, the overall cost of living index number, suppose a person was earning $ 4,000 in 1986. What should be his salary in 1998 to maintain the standard of living as in 1986?arrow_forward6. A nozzle uniformity check is performed on a sprayer having eight nozzles. The milliliters caught from each nozzle during a 15 sec period are listed below. Nozzle 1 2345678 ml/15sec 275 295 270 260 240 295 260 275 a. Determine whether any of the nozzles should be changed if plus or minus 10% of the average is considered to be acceptable. List the nozzles that should be replaced: Nozzle #2, G b. Determine the GPM delivered by the sprayer with the original 8 nozzles (1 gallon = 3785.4 ml).arrow_forward
- A router is used to cut locating notches on a printed circuit board. The vibration level at the surface of the board as it is cut is considered to be a major source of dimensional variation in the notches. Two factors are thought to influence vibration: bit size (A) and cutting speed (B). Two bit sizes (1/16 and 1/8 inch) and two speeds (40 and 90 rpm) are selected, and four boards are cut at each set of conditions shown below. The response variable is vibration measured as a resultant vector of three accelerometers (x, y, and z) on each test circuit board. (a) Analyze this experiment assuming that each one of the four replicates represent a block. (b)arrow_forwardRivers in North Carolina contain small concentrations of mercury that can accumulate in fish over their lifetimes. The concentration of mercury in fish tissue can be obtained by catching fish and sending samples to a lab for analysis. A study was conducted on fish from the Waccamaw and Lumber Rivers to investigate mercury levels in tissues of largemouth bass. At several stations along each river a group of fish were caught, weighed and measured; in addition a filet from each fish was sent to a lab so that the tissue concentration of mercury could be determined. In all, 171 fish were caught at 15 different research stations along the Waccamaw and Lumber Rivers. Data from fish caught at one of these stations is shown in the followinng table: length weight 1616 47.0 48.7 1862 2855 55.7 45.2 1199 1320 44.7 1225 43.8 870 38.5 1455 45.8 1220 44.0 1033 40.4 Compute the correlation between length and weight for these fish. (Assume the correlation conditions have been satisfied and round your…arrow_forward3. Consider a gas in a piston-cylinder device in which the temperature is held constant. As the volume of the device was changed, the pressure was meas- ured. The volume and pressure values are reported in the following table: Volume, m Pressure, kPa, when I = 300 K 1 2494 2 1247 3 831 4. 623 5 499 416 (a) Usc lincar interpolation to cstimate the pressure when the volume is 3.8 m. (b) Usc cubic spline interpolation to estimate the pressurc when the vol umc is 3.8 m'. (c) Usc lincar interpolation to cstimate the volume if the pressure is meas- urcd to be 1000 kPa. (d) Usc cubic spline interpolation to estimate the volume if the pressure is mcasured to be 1000 kPa.arrow_forward
- Consider the highest daily snowfall accumulation in Montréal per winter season, measured at the Montréal Airport from 1964/65 to 2014/15. The measurements in cm are as follows: maxsnow ## [1] 15.2 25.4 32.8 14.5 23.6 37.8 43.2 22.9 20.3 21.1 25.7 24.6 25.9 22.5 32.8 ## (16] 19.6 11.0 18.2 10.8 21.3 22.0 13.6 21.8 21.0 21.2 12.2 20.2 17.2 40.0 27.8 ## [31] 13.2 20.8 21.4 23.6 35.8 33.9 31.0 18.8 15.8 18.8 17.2 41.2 35.2 31.8 23.8 ## [46] 29.8 20.4 16.0 45.6 20.8 20.0 (a) Is this data a realization of a random sample? Provide rationale for your answer (you may list pros and cons if you like). (b) Which population quantities (mean, variance, probabilities of certain events) would you like to use these data to estimate and why? (The answers to these questions are subjective).arrow_forwardANSWER ALL THE QUESTIONS PLEASE WITH CORRECT LETTER FOR EACH NUMBERarrow_forwardIn a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 5 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 172.11, 219.58, 208.24, 112.44, and 123.30 respectively. In the same sample, the corresponding ranges are: 13.17, 13.38, 15.34, 13.04, and 13.02 respectively What are the lower and upper control limits for the X-bar chart? O a. 157.21, 177.05 O b. 146.01, 157.87 Oc. 159.25, 175.02 O d. None is correct O e. 142.92, 160.66 Of. 143.55, 165.47arrow_forward
- The photoresist thickness is one the quality characteristic in integrate circuits. A new process has been developed for applying photoresist to 125-mm silicon wafers used in manufacturing integrated circuits. Twelve wafers were tested, and the following photoresist thickness measurements were observed: 13.3987, 13.3957, 13.3902, 13.4015, 13.4001, 13.3918, 13.3965, 13.3925, 13.3946, 13.3939, 13.4005 and 13.4002. Assume that thickness is normally distributed. a) Test the hypothesis that mean thickness is 13.4x1000 Å. Use a=0.05 and assume a two-sided alternative. b) Find a 99% two-sided confidence interval on mean photoresist thickness. c) Find a 95% two-sided confidence interval on standard deviation of photoresist thickness.arrow_forwardIn a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 4 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 156.46, 199.62, 189.31, 102.22, and112.09 respectively. In the same sample, the corresponding ranges are: 11.97, 12.17, 13.94, 11.86, and 11.83 respectively. What are the lower and upper control limits for the X-bar chart? O a. 145.40, 190.72 O b. 143.55, 165.47 144.77, 159.11 O d. 156.55, 170.47 O e. 142.92, 160.96 Of. None is correct US PAGE NEXT PAGEarrow_forwardA sample of 12 random FICO scores are given as follows: [664, 693, 698, 714, 751, 753, 779, 789, 802, 818, 834, 836). TIP: Store these values as a list on your TI 83/84 calculator and find your 5 Number Survey. State the Maximum (Max) value below:arrow_forward
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