A project schedule has the following characteristics as shown in TableActivityNameTimeActivityNameTime (days)1-2A45-6G41-3B15-7H82-4C16-8I13-4D17-8J23-5E68-10K54-9F59-10L7i. Construct PERT network.ii. Compute TE and TL foreach activity.iii. Find the critical path.

Step 1: Construct PERT NetworkNodes represent events, and directed edges represent activities.Each…

Answered: A project schedule has the following…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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P.MS.AMPA x 1.GEOMETRYCP. MS.AMPARO94/_layouts/15/Doc.aspx?sourcedoc%3{cf5f1c7b-680c-4e0a-a691-ada5a1d2... Cortes, O Notebook S1.P3.GEOMETRY CP.MS.AMPARO Notebook L Immersive Reader A This page is locked and can't be edited at this time. Select the transformations that take figure F to figure . (GCO.5) F it... n... Reflect figure F across the *axis. Rotate figure F 90° clockwise around the origin. a. C. b Reflect figure F across the Y axis. d. Rotate figure F 180° counterclockwise around the origin. Enter your answer
Northern flying squirrels eat lichen and fungi, which makes for a relatively low quality diet. The authors of the paper "Nutritional Value and Diet Preference of Arboreal Lichens and Hypogeous Fungi for Small Mammals in the Rocky Mountains" + measured nitrogen intake and nitrogen retention in six flying squirrels that were fed the fungus Rhizopogon. Data read from a graph that appeared in the paper are given in the table below. (The negative value for nitrogen retention for the first squirrel represents a net loss in nitrogen.) Nitrogen Intake, x (grams) 0.03 0.10 0.07 0.06 0.07 0.25 (a) Construct a scatterplot of these data. y 0.10 0.05 -0.05 y 0.10 0.05 -0.05 0.05 0.10 g 0.05 0.10 Nitrogen Retention, y (grams) -0.04 0.00 0.01 0.01 0.04 0.11 g + 0.15 0.20 0.25 0.15 ●● 0.20 0.25 X y 0.10 0.05 -0.05 y 0.10 0.05 -0.05 (b) Find the equation of the least-squares regression line. (Round your values to five decimal places.) ŷ = 0.05 0.10 0.15 0.20 0.25 0.05 0.10 0.15 0.20 0.25 (c) Based on…
ment Pla X A Player 6 O I Q education.wiley.com/was/ui/v2/assessment-player/index.html?launchId=51278b39-ea18-4374-abf9-4ec63a4de8eb#/question/9 A Question 10 of 20 < View Policies Current Attempt in Progress X WP Videoplayer @2 In 2030 the population will be approximately i Between 1970 and 2000, the United States grew from about 200 million to 280 million, an increase of approximately 40 % in this 30- year period. If the population continues to expand by 40 % every 30 years, what will the U.S. population be in the year 2030? In 2060? Estimate when the population of the United States would reach 1.4 billion. eTextbook and Media Enter the exact answers for the population in 2030 and 2060, and round your answer for the year that the U.S. population reaches 1.4 billion to the nearest integer. In 2060 the population size will be approximately i :9- The population will reach 1.4 billion in the year i F2 Save for Later Using multiple attempts will impact your score. 25% score reduction…
Explain the Parameter reduction by using the ADL model?
In various places in this module, data on the silver content of coins minted in the reign of the twelfth-century Byzantine king Manuel I Comnenus have been considered. The dataset includes, among others, the values of the silver content of nine coins from the first coinage (variable Coin1) and fourth coinage (variable Coin4) which was produced a number of years later. it was argued that the silver contents in both the first and the fourth coinages can be assumed to be normally distributed. The question of interest is whether there were differences in the silver content of coins minted early and late in Manuel's reign. You are about to investigate this question using a two- sample t-interval. COINS (21.MWX Two-Sample T-Test and CI: Coin1, Coin4 A COINS (2)MWX Two-Sample T-Test and Cl: Coin4, Coin1 Method Method mean of Coin1 Pa mean of Coind Difference u- 4 mean of Coin4 z mean of Coint Difference: - Vz Equal variances ore assumed for this analysis Equal variances ore assumed for this…
please do this by hand, not in excel
O Post Attendee - Zoc X 6 1/5 - Taxes, Tips, ar x O Eric De Luna - 15-1 X 9 Geography Review G michael dean - Goo x V nametagtom - Pag X + ntation/d/1yhGC969LAcnxoskin60Q1dnv6gg-HRShbtLISInvuY/edit#slide=id.gadc65e8644_0_75 %3D Arial 24 B I UA Alejandro bought a television set for $900 and paid a sales tax of 8%. How much did he pay for the television set? W # Final Cost = eaker notes & 8 5
The output in H24619 could be produced using this function: O ADD COUNT O PIVOT SUM A 1 RPT_PERIOD 2 3 4 B с IMPORTCOMP_NAME CNTRY_NAME 8/31/2016 CROWN POINT INTL LLC ALBANIA ALBANIA 6/30/2016 CROWN POINT INTL LLC 8/31/2016 CROWN POINT INTL LLC 10/31/2016 CHEVRON USA INC ALBANIA VIETNAM 10/31/2016 CHEVRON USA INC VIETNAM 6/30/2016 PHILLIPS 66 CO VIRGIN ISLANDS 24616 24617 24618 24619 Total D PROD_NAME Crude Oil Crude Oil Crude Oil Crude Oil Crude Oil All Other Motor H QUANTITY 467 483 188 223 74 21 3714865
A manufacturer wants to optimize its shipment of goods to its customers. 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, he would like to know if high temperatures affect the sale of closed, rubber-heeled walking shoes. He the data showing the temperature recorded at the location of its retail shops, as well as their record of sales of goods, during each day of the past year. What type of analysis should he conduct? What variables should be considered? Explain.
The data for lab 1-2 was created based upon the paper by the STARSproject and modified by Dr. Hole. Fast food meals are typically high incalories, fat, sodium and cholesterol, which are known to increase the riskof obesity and diabetes. Researchers found that unhealthy ingredients,large portion size, low cost, and convenience make fast food cause obesity.The dataset provided by Dr. Hole is derived from a very large consumersurvey conducted by market researchers at Milward Brown. The survey wascarried out using a CATI (computer Aided Telephone Interviewing)methodology. Random digit telephone numbers were dialed and theperson answering was asked “Do you buy fast food nowadays?” Only thoseresponding “Yes” were then surveyed. In class, we already examined thedatasets, found results, and drew tables to answer several questions.Dataset: Lab 1-2.savRequirements: For your 1-2 assignment, please provide scholarly tables and your findings/thoughts with reasonable justification for the following…
Dave Fletcher was able to determine the activity times for constructing his laser scanning machine. Fletcher would like to determine ES, EF, LS, LF, and slack for each activity. The total proj critical path should also be determined. Here are the activity times: Dave's earliest start (ES) and earliest finish (EF) are: D Activity Time (weeks) Immediate Predecessor(s) Activity Time (weeks) Immediate Predecessor(s) A BUD 5 8 3 1 A A Activity ABCDEF I А с G H [ ES 0 5 8 E JF H G EF 5 co 11 22 20 3 6 11 6 B B C, E D, F
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