1.Camer Pharmaceuticals is testing a new product in the market1. The demand for the new product is estimated to be Normally distributed with a mean 2,000,000 and standard deviation 250,000. The demand is estimated to grow at a rate of 4% per year. The R&D costs are estimated to be between $500 millions of dollars and $800 millions of dollars with a most likely value of $700 millions of dollars. Clinical trial costs are estimated to be between $135 millions of dollars and $160 millions of dollars with a most likely value of $150 millions of dollars. There are competitors in the market, and Camer Pharmaceuticals estimates that their market share in the first year will be any number between 6% and 10%, with each number being equally likely. The company estimates that their market share will grow by 20% each year. A monthly prescription is estimated to generate a revenue of $240. The variable costs are estimated to be $30. Develop a simulation model that calculates the net present value (NPV) of this project over 3 years assuming a discount rate of 10%. Run the simulation for 1000 iterations and answer the following questions.

a.What is the distribution of the NPV (mean and standard deviation)?

b.What are the first quartile, median, and third quartile of NPV?

c.What is the probability that NPV over 3 years will not be positive?

d.What NPV are we likely to observe with a probability of at least 0.9?

e.What cumulative net profit in the third year are we likely to observe with a probability of at least 0.9?

f.What is the 95% confidence interval for the mean NPV? Interpret the resulting confidence interval.

g.What is the number of iterations needed if we want to estimate the NPV within $4,000,000?

h.Interpret the sensitivity chart.

20.3 Potato growers are paid a premium for both size and uniformity of product. A grower wants to study the average weight and the weight variation in the population of potatoes. He also wants to estimate the weight variation within plants and between different plants. He uses a random effects model CRD experiment and samples five potato plants, selected at random. From each plant, he chooses three potatoes at random. The data appear below, where the response is the weight of each potato in pounds. Observation Plant 2 0.75 0.83 0.64 0.86 0.91 0.54 0.73 0.61 0.57 0.93 0.98 1.15 1,17 1.23 0.96You carried out a recrystallization step on an acetanilide sample and generated the following observations and data: Initial welght of Initial melting Final welght of Isolated and Final melting point range of sample (grams) point range (C) dried sample (grams) Isolated and dried sample ('C) 1.02 104 - 115 .64 113.5 - 116 What is your conclusion based on this information? Include in this conclusion the following: The % recovery for this recrystallization experiment. A comment on the % recovery for this recrystallization experiment. A comment on the purity of the initial and final samples. Did the recrystallization experiment accomplish the intended goal? Why or why not?Part III: ADC Components Here are the major components of our ADC model in Simulink: . Signal Generator: This is our continuous signal that we want to sample. You can specify whether the signal is a sine, square or a sawtooth signal. . Pulse Generator: This is what specifies the sampling period Ts. Double-click it and specify the period in seconds. Sample and Hold: This is our sampler. There should be nothing that we need to change here. . Quantizer: You can specify the quantization interval. This value determines the accuracy of the samples. So, if the quantization interval is .1, for example, then the sample will be rounded off to the nearest . 1