A proposed project has the following cash flow estimates:End of Year Mean Net Cash Flow Standard Deviation of Cash Flow012345-$32,000$4.000$8.000$12.000$12.000$12.000$1.000$2.000$3.000$5.000$6.000$7,000Assuming independent cash flows. a normally distributed net present value, and a minimum attractive rate of return of 18%.determine an analytical solution for the following: The probability that the net present value is greater than $5,000.Probability:I%6Carry all interim calculations to 5 decimal places and then round your final answer to 1 decimal place. The tolerance is ±0.2.

Normal Distribution:A normal distribution is a type of continuous probability distribution in which…

Answered: A proposed project has the following…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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calculate the geometric mean of the annual hpr and hpy
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Crude Oil Refiner Acquisition costs (Dollars per Barrel) Date Domestic Imported Composite 940101 12.55 12.81 12.69 940201 13.18 12.91 13.04 940301 13.09 13.15 13.12 940401 14.66 14.46 14.55 940501 15.57 15.65 15.61 940601 17.23 17.08 17.15 940701 17.51 17.93 17.73 940801 17.06 17.08 17.07 940901 16.32 15.89 16.09 941001 16.21 16.40 16.30 941101 16.49 16.54 16.51 941201 16.10 15.76 15.95 950101 16.37 16.62 16.49 950201 16.98 17.25 17.11 950301 17.21 17.24 17.23 950401 18.08 18.84 18.43 950501 18.57 18.49 18.53 950601 17.84 17.40 17.62 950701 16.78 16.45 16.62 950801 16.89 16.54 16.72 950901 16.96 16.73 16.85 951001 16.72 16.34 16.53 951101 16.61 16.53 16.57 951201 17.31 17.61 17.46 960101 17.85 17.55 17.70 960201 18.04 17.70 17.88 960301 19.49 19.81 19.64 960401 21.77 21.05 21.44 960501 21.09 20.00 20.51 960601 18.93 18.83 18.87
Please Answer 3 Sub Parts the question and no Reject.... Thank u
Considering the aggregated demand for coffee beans for the following months shown below, what would be the 3-month Simple Moving Average Forecast for the 8th Month? Actual Demand Period (Month) (in kg) 1 455,300 2 249.422 3 325,600 4 114,618 5 301.243 6 103,522 7 ? Cannot be determined between 400,000 and 500.000 kg Below 300.000 kg More than 500.000 kg
53. Calculate seasonal index numbers from the following data : RATIO OF OBSERVED TO TREND VALUES (%). Year II IV 2012 108 130 107 93 2013 86 120 110 91 2014 92 118 104 88 2015 78 100 94 78 2016 82 110 98 00 86 2017 X3 If the sales of goods X by a firm in the first quarter of 2018 are worth Rs. 2,00,000, determine how much worth of the goods should be kept in stock by the firm to meet the demand in each of the remaining three quarters of 2018 by using the seasonal index numbers calcuiated above. 106 118 105 98
Monthly Sales 6267.19 7058.06 7119.5 7147.18 7198.52 7298.09 7325.7 7335.68 7355.97 7481.05 7490.23 7530.08 7616.09 7682.69 7684.14 7704.12 7704.98 7779.28 7798.23 7815.15 7844.16 7890.21 7977.6 7993.16 8021.03 8028.37 8068.86 8082.42 8096.17 8119.25 8129.21 8190.68 8255.28 8282.44 8376.31 8392.4 8400.95 8451.16 8456.66 8505.35 8539.25 8543.65 8573.05 8641.78 8667.48 8751.08 8777.97 8800.08 8888.65 8907.03 9096.87 9241.74 9411.68 9450.73 9484.62 9514.57 9521.4 9524.91 9733.44 10123.24 Given the company’s performance record and based on the empirical rule of normal distribution (also known as the 68%-95%-99.7% rule), what would be the lower bound of the range of sales values that contains 68% of the monthly sales? What would be the upper bound of the range of sales values that contains 68% of the monthly sales?
Technicians use moving-average lines to detect changes in trends by observing the interaction between the price of an asset and its moving average over a specific period. Consider a stock whose price data over the past 10 days are as follows: Day 1 2 3 4 5 6 7 8 9 10 Stock Price ($) 54.50 54.25 55.75 56.50 57.25 56.00 54.75 53.25 52.50 53.00 5-Day Simple Moving Average ($) Trend Assume a simple moving average (SMA) is calculated over a 5-day period. Calculate the SMA for each day, and based on the SMA, identify any potential changes in the trend during the 10-day period.
Forecasting Methods: Perform Trend Series Analysis (sales projection for the year 10, 12 and 17) Make based on the sales data below:Year 1: 24,333; Year 2: 33,524; Year 3: 26,778; Year 4: 30,567; Year 5: 27,564; Year 6: 24,555; Year 7: 21,777 and Year 8: 25,669.
The R-squared of a regression of an asset’s excess returns against a multi-factor asset pricing model indicates the proportion of the asset’s total volatility that is non-systematic. True False
Period 1 2 3 4 5 6 7 Actual 42 41 39 43 45 F ? ? 2 2. Using the same table above, compute the weighted moving average forecast for demand for four latest period. With data using a weight of .40 for the most recent, .30 for the next recent, .20 the next, and .10 for the oldest. Assume actual demand for period 6 is 44, what is the forecast for period 7?
Given the following data and seasonal index: Month Sales Year 1 Year 2 Jan 8 8 Feb 7 9 Mar 5 6 Apr 10 11 May 9 12 June 12 16 July 15 20 Aug 20 25 Sept 4 4 Oct 3 2 Nov 8 7 Dec 9 9 (a) Compute the seasonal index using only year 1 data. (b) Determine the deseasonalized demand values using year 2 data and year 1's seasonal indices.

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