Nlustration 25. Calculate mode from the following data: Klarks 40-50 50–70 0-10 10-20 20-40 Frequency 5 IS 40 32 28
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- Given data points: (2,3), (3,4), (5,2), (6,5) and (7,3) indicate ln(y-C1) = C2+ ln x , using Least Square Method.Curve Fitting using the formula, (FT)(F)(C) = (FT)(y)F = matrixFT = transpose of matrixC = constanty = data givenHere is a dataset containing plant growth measurements of plants grown in solutions of commonly-found chemicals in roadway runoff.Phragmites australis, a fast-growing non-native grass common to roadsides and disturbed wetlands of Tidewater Virginia, was grown in a greenhouse and watered with either: Distilled water (control); A weak petroleum solution (representing standard roadway runoff); Sodium chloride solution; Magnesium chloride solution; De-icing brine (50% sodium chloride and 50% magnesium chloride).Twenty grass preparations were used for each solution, and total growth (in cm) was recorded after watering every other day for 40 days.-Perform the correct statistical test to determine the p-value.-Report your answer rounded to four decimal places.-You should use formulas, functions, and the Data Analysis ToolPak in MS Excel to avoid additive rounding errors. Here are some useful functions: =t.test(array1,array2,tails,type) Produces a p-value for any…calculate d and e with good working outs ...
- IOG Technologies offers semiconductor and system solutions for automotive industrial and multimarket sectors for applications in communication. The following data relates to the production of three products manufactured by them: Product Price (RM) Quantity 2000 2016 2000 2016 BD-1005 3.00 3.20 60 80 LCM-2134 2.00 2.50 100 90 DDK-456 3.50 4.00 500 700 Determine the Laspeyres Price Index (LPI) and Paasche Price Index (PPI) for 2016 using 2000 as the base period.A quality control engineer studied the relationship between years of experience as a system control engineer and the capacity of the engineer to complete within a given time a complex control design including the debugging of all computer programs and control devices. A group of 25 engineers having widely differing amounts of experience (measured in months of experience) was given the same control design project. The results of the study are given in the following table with y = 1 if the project was successfully completed in the allocated time and y = 0 if the project was not successfully completed. a. Determine whether experience is associated with the probability of completingthe task. b. Compute the probability of successfully completing the task for an engineer having 24 months of experience. Place a 95% confidence interval on your estimate.A municipal solid-waste site for a city must be located at Site A or Site B. After sorting, some of the solid refuse will be transported to an electric powerplant where it will be used as fuel. Data for the hauling of refuse from each site to the power plant are shown in Table P2-4. If the power plant will pay $8.00 per cubic yard of sorted solid waste delivered to the plant, where should the solid-waste site be located? Use the city’s viewpoint and assume that 200,000 cubic yards of refuse will be hauled to the plant for one year only. One site must be selected.
- Need help with parts d and k. Data: TSERofReturn AcmeRofReturn 1 0.42478 -0.48194 2 1.61213 -0.73284 3 -0.98754 -2.28445 4 -0.30013 -1.55312 5 1.41215 0.68674 6 0.68725 -1.31132 7 0.03733 -0.83295 8 -1.72494 -1.71975 9 0.33729 1.14443 10 -1.07502 -1.79885 11 0.86222 0.89736 12 1.17468 1.66664 13 -0.38761 -0.02658 14 1.66212 0.9086 15 1.09969 1.99935 16 -0.06266 0.46148 17 -1.96241 -1.41004 18 -1.32499 -0.38086 19 -1.51247 -1.90904 20 0.74974 0.91873 21 -0.38761 -0.49714 22 -0.17514 -1.31385 23 -3.41222 -1.15681 24 -0.01266 2.11718 25 0.16231 1.78766 26 -0.82506 1.30344 27 -0.41261 -0.43377 28 0.2623 -1.70274 29 -1.16251 0.4692 30 -1.05003 0.27671 31 -0.65008 -0.63741 32 0.62475 2.9895 33 -0.68758 1.3613 34…Cell Phone Radiation Listed below are the measured radiation absorption rates (in W/kg) corresponding to these cell phones: iPhone 5S, BlackBerry Z30, Sanyo Vero, Optimus V, Droid Razr, Nokia N97, Samsung Vibrant, Sony Z750a, Kyocera Kona, LG G2, and Virgin Mobile Supreme. The data are from the Federal Communications Commission. If one of each model of cell phone is measured for radiation and the results are used to find the measures of variation, are the results typical of the population of cell phones that are in use?What size samples do you need for a 2-group design if you expect to have an effect size of .50 and you want your power to be .71?
- Exercise 1.14 (Static) THE BANK CUSTOMER WAITING TIME CASE A bank manager has developed a new system to reduce the time customers spend waiting to be served by tellers during peak business hours. Typical waiting times during peak business hours under the current system are roughly 9 to 10 minutes. The bank manager hopes that the new system will lower typical waiting times to less than 6 minutes and wishes to evaluate the new system. When the new system is operating consistently over time, the bank manager decides to select a sample of 100 customers that need teller service during peak business hours. Specifically, for each of 100 peak business hours, the first customer that starts waiting for teller service at or after a randomly selected time during the hour will be chosen. Consider the peak business hours from 2:00 p.m. to 2:59 p.m., from 3:00 p.m. to 3:59 p.m., from 4:00 p.m. to 4:59 p.m., and from 5:00 p.m. to 5:59 p.m. on a particular day. Also, assume that a computer software…A shoe wholesaler wants to optimize its shipment of shoes to its client retailers. To minimize their turnover time and avoid building up stocks that add costs, the wholesaler wants to know if weather conditions are important in determining the type of shoe demanded. Specifically, she / he would like to know if high temperatures affect the sale of closed, rubber-heeled walking shoes. He / she has the relevant data showing the temperature recorded at the location of its retail shops, as well as their record of sales of these walking shoes, during each day of the past year. What type of analysis should he / she conduct? What variables should be considered? Explain.Obtain the appropriate measure of dispersion for age and both income variables. DATA Subject Gender Marital Status Age Education Household Income Personal Income 1 F 1 30 0 70000.00 40000.00 2 F 0 40 0 32500.00 32500.00 3 M 1 45 0 42000.00 .0 4 M 1 23 0 50000.00 50000.00 5 M 0 50 0 4500.00 4500.00 6 F 0 65 1 40000.00 22000.00 7 F 1 33 1 12000.00 12000.00 8 F 0 20 2 56000.00 52000.00 9 F missing 30 3 17500.00 17500.00 10 M 1 Missing 4 44000.00 39000.00 11 M 2 58 1 missing missing 12 M 2 32 2 10000.00 10000.00 13 M 1 35 3 missing missing 14 F 2 23 4 100000.00 50000.00 15 F 2 34 1 64000.00 64000.00 16 M 1 26 2 Missing missing 17 M 1 36 3 missing missing 18 F 0 41 4 7500.00 5500.00 19…
