Np Ms Office 365/Excel 2016 I Ntermed
1st Edition
ISBN: 9781337508841
Author: Carey
Publisher: Cengage
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
error_outline
This textbook solution is under construction.
Students have asked these similar questions
Reviewing the past history of LIH applications, David estimated the probability that the application decision would be delayed beyond 60 days to be 20%. David then estimated that the probability that the outcome of the new proposal is favourable is 70%. Given that the outcome of the new proposal were favourable, David estimate that the probability of the LIH plan to be approved is 75%; if the outcome were unfavourable, the probability of approval is 30%. Finally, David estimated the probability that the property would still be available for purchase after the policy revision (if Real Estate took no action) to be 80%. David next went to work on the financial analysis of the development project. The estimated profit of the new development project under the LIH plan would be $850,000. This value includes the purchase cost of the property, the cost of renovations, annual maintenance costs, annual rental incomes, and applicable tax shelters. If LIH plan approval were not granted for the…
As a property developer in California, you want to determine the most profitable area for a new development. This would thus require striking a balance between the cost of acquiring property on which to construct a new development and the amount for which units in that development can be sold. Figure 1 shows the longitude and latitude data overlaid on a map of California. More expensive areas are dark blue and less expensive areas are light blue.
Use Figure 1 and the two regions created by the first split in your fitted decision tree to justify which region would be best for a new development project. Remember that “value” on the decision tree indicates the mean of the values of houses in that region of the feature space.
(Max. 300 words)
Figure 1: Housing area value plotted according to latitude and longitude.
Okay so I tried doing the FIFO, LIFO and Weighted Average cost to determine the gross profit and ending inventory but somehow no matter how I compute the equation it ends up saying I am wrong. How do I compute this to get it correct?
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- Depending on the cause of death, racial/ethnic and gender disparities exist on years of potential life lost in the United States. Years of Potential Life Lost (YPLL) can be defined as the number of years lost when death occurs before one’s life expectancy. For this assignment, life expectancy will be set for everyone at 75. For YPLL, a death of a very young person is weighted more than a death of a very old person (McKenzie, Pinger, & Seabert, 2018). AS Instructions: Investigate one cause of death (infant mortality, homicide, suicide, unintentional injuries (such as car accidents, drowning, falling, etc.), pregnancy complications, COVID-19, etc.) in the United States and research the YPLL for racial/ethnic groups and genders. Summarize your findings in your paper and discuss how calculating YPLL can change the way we think about that particular cause of death differently.arrow_forwardA coach is trying to choose the starting line-up for the basketball team. The team consists ofseven players who have been rated (on a scale of 1= poor to 3 = excellent) according to theirball-handling, shooting, rebounding, and defensive abilities. The positions that each playeris allowed to play (G = guard, C = center, F = forward) and the player’s abilities are:Player Position Defense Ability1 G 32 C 23 G-F 24 F-C 15 G-F 16 F-C 37 G-F 3Formulate an IP to choose the starting lineup such that the five-player starting line-up satisfiesthe following restrictions, then solve your IP using python (if you have not taken and are notcurrently taking python you may use the excel solver - be sure to document this in yourhomework submission). Submit your python file on canvas and include the optimal solutionin your written submission.(a)…arrow_forwardConsider the following task of building a zoo for Drexel! You’ve gathered m donors to fund the creation ofyour new park, and you’ve picked the location, so now you just need to choose the inhabitants. Ideally you’dget every animal imaginable, except you just don’t have space. As it is, you have room to comfortably fitk animals. Since you’d like to ensure that your funding doesn’t dry up, you figure your donors should getto make requests about which animals will be kept. After sending out a few emails, you collect from eachdonor i a list of animals Ai which donor i would like to have at the zoo. As you suspected, the total numberof different animals appearing on the m lists exceeds k, so you won’t be able to satisfy all of their requests.You decide the fairest thing to do is to ensure that at least 1 animal from each Aiis chosen.Given all these lists, we want to know whether we can select a set H of at most k animals to put in thezoo such that each donor i will be able to see at least…arrow_forward
- Question 4 A university received 1000 applications for the undergraduate program every semester. Of all applicants, 150 had a CGPA score above 3.70. 520 applicants had a CGPA score between 3.50 and 3.70. 100 applicants had a score between 3.00 and 3.50. All other applicants had a score lower than 3.00. What probability will a randomly selected applicant have a score lower than 3.00? If this semester, the total of students who get the CGPA score lower than 3.00 is 20% of the total student received, and the number of the other students who get CGPA above 3.50 is the same. Find the number of students who get CGPA between 3.00 and 3.50?arrow_forwardConsider the following task of building a zoo for Drexel! You've gathered m donors to fund the creation ofyour new park, and you've picked the location, so now you just need to choose the inhabitants. Ideally you'dget every animal imaginable, except you just don't have space. As it is, you have room to comfortably tk animals. Since you'd like to ensure that your funding doesn't dry up, you gure your donors should getto make requests about which animals will be kept. After sending out a few emails, you collect from eachdonor i a list of animals Ai which donor i would like to have at the zoo. As you suspected, the total numberof di erent animals appearing on the m lists exceeds k, so you won't be able to satisfy all of their requests.You decide the fairest thing to do is to ensure that at least 1 animal from each Ai is chosen.Given all these lists, we want to know whether we can select a set H of at most k animals to put in thezoo such that each donor i will be able to see at least one…arrow_forwardA small engineering consulting firm is establishing a plan for next year. The director and thethree partners need to prioritize the eight projects. The expected profit for each project is givenin the following table together with the number of person-days required to prepare each project.Another measure included is the computing resource measured as the computer processingunit (CPU) time (in hours). You have been tasked to evaluate which projects they ought topursue based on efficiency. Given the sample data below, you plan to construct a dataenvelopment analysis (DEA) model:a. Which measures would you regard as inputs and outputs, respectively? Pleaseprovide your justification.b. Conduct data envelopment analysis, explain what type of DEA model is selectedand describe the project you regard as “efficient” and “inefficient”, respectively.c. Which project would you recommend and why?d. In what ways can you improve on your recommendation? You are free to openlysource for other datasets…arrow_forward
- A small engineering consulting firm is establishing a plan for next year. The director and thethree partners need to prioritize the eight projects. The expected profit for each project is givenin the following table together with the number of person-days required to prepare each project.Another measure included is the computing resource measured as the computer processingunit (CPU) time (in hours). You have been tasked to evaluate which projects they ought topursue based on efficiency. Given the sample data below, you plan to construct a dataenvelopment analysis (DEA) model:a. Which measures would you regard as inputs and outputs, respectively? Pleaseprovide your justification.b. Conduct data envelopment analysis, explain what type of DEA model is selectedand describe the project you regard as “efficient” and “inefficient”, respectively.c. Which project would you recommend and why?d. In what ways can you improve on your recommendation? You are free to openlysource for other datasets…arrow_forwardDamon Davis was working on the company's spreadsheet for Drano Drain and Sewer Service. Based on his estimates, he concluded that a net income of $50,000 would result. He totaled up the amounts in the Total Balance Sheet Columns, which indicated a deficit of $400,000 and a credit of $300,000, and came up with the following: We can only speculate as to the true cause of this disparity. If this isn't the case, then how can he tell where the issue is coming from?arrow_forwardDepending on the cause of death, racial/ethnic and gender disparities exist on years of potential life lost in the United States. Years of Potential Life Lost (YPLL) can be defined as the number of years lost when death occurs before one’s life expectancy. For this assignment, life expectancy will be set for everyone at 75. For YPLL, a death of a very young person is weighted more than a death of a very old person (Seabert, McKenzie, & Pinger, 2022). AS Instructions: Investigate one cause of death (infant mortality, homicide, suicide, unintentional injuries (such as car accidents, drowning, falling, etc.), pregnancy complications, COVID-19, etc.) in the United States and research the YPLL for racial/ethnic groups and genders. Summarize your findings in your paper and discuss how calculating YPLL can change the way we think about that particular cause of death differently. Provide factual documentation that reinforces your findings from at least three peer reviewed sources…arrow_forward
- choose items with maximum total benefit but with weight at most W .. whats the maximum total benefit?arrow_forwardA company's board consists of 4 people: Abigail (the CEO), Benoit, Charlie, and Debra. When they take a vote, if there is a majority (either up or down), that vote prevails. If, however, there is a tie, then Abigail's vote is the tie-breaker (e.g. if A&B vote up, and C&D vote down, the outcome is "up", because A's vote breaks the tie). The truth table will show all possible combinations of the 4 votes, and the final decision for each.arrow_forwardCorrect answer will be upvoted else downvoted. Computer science. There are n urban communities numbered from 1 to n, and city I has excellence computer based intelligence. A sales rep needs to begin at city 1, visit each city precisely once, and return to city 1. For all i≠j, a departure from city I to city j costs max(ci,aj−ai) dollars, where ci is the value floor implemented by city I. Note that there is no outright worth. Track down the base absolute expense for the sales rep to finish his excursion. Input The main line contains a solitary integer n (2≤n≤105) — the number of urban communities. The I-th of the following n lines contains two integers artificial intelligence, ci (0≤ai,ci≤109) — the magnificence and value floor of the I-th city. Output Output a solitary integer — the base all out costarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Np Ms Office 365/Excel 2016 I NtermedComputer ScienceISBN:9781337508841Author:CareyPublisher:CengageOperations Research : Applications and AlgorithmsComputer ScienceISBN:9780534380588Author:Wayne L. WinstonPublisher:Brooks ColePrinciples of Information Systems (MindTap Course...Computer ScienceISBN:9781285867168Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning
Np Ms Office 365/Excel 2016 I Ntermed
Computer Science
ISBN:9781337508841
Author:Carey
Publisher:Cengage
Operations Research : Applications and Algorithms
Computer Science
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Brooks Cole
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781285867168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning