Baldwin Cycle Case

Baldwin Cycle Case 1. Relevant Cost: Direct Material$39. 8 Direct Labor$19. 6 Variable Overhead(@40% of $24. 5)$9. 8 Total Relevant Costs$69. 2 2. 2-months Raw material for 25,000 bikes @ $38. 9$165,833 WIP Inventory(1000 @ $69. 2)$69,200 Finished Goods(500 @ $69. 2)$34,600 A/R (30 days) @(25,000/12*92. 29)$192,270 Total Inventory Costs$461,904 Relevant Asset Cost (@5. 5 %) $25,405 Total Relevant Asset Cost$487,309 Interest @ 18%$87,716 Net Relevant Cost$399,593 Price Per Bicycle$15. 98 3. Cannibalization or erosion will arguably lead to reduction in Baldwin’s revenue.The lost sales amount to $1. 3 Million. However, if the challenger bikes are not introduced fearing impacts of cannibalization or erosion, Baldwin’s competitor can step in and claim the benefits. Hi-Valu can turn to Baldwin’s competitor and that can have a larger and long-term effect on an already declining bicycle market share for Baldwin. 4. It is difficult to predict return as implementation of t his deal opens up uncertainty in retaining existing customers. 5. The current inventory turnover rate is 125 days for Baldwin and 46 days for account receivable turnover.However, Hi-Valu will pay Baldwin in 30 days resulting in early cash realization. The deal also positively impacts inventory turnover by limiting it to 120 days. Thus the deal has a favorable impact on Baldwin Cash flows. 6. Baldwin’s financial situation is as follows: a. High debt to equity ratio from high amount of short-term debt b. High debt can lead to problems in raising additional financing c. From the current ratio(1. 28), it seems that Baldwin can pay of its liabilities d. With an 8. 2% ROE, Baldwin has a lower ROE than the industry average 7.Baldwin isn’t well poised at end of 1982 for the following reasons: a. Bicycle boom has flattened out resulting the plant operating capacity to be underutilized at 75% b. Challenger deal provides added capacity for a guaranteed 3 years with additional sco pe on a yearly contact basis c. Baldwin could lose sales of 3000 units and loss of current dealers due to the deal Based on long-term prospect of losing 3000 units of sales and current dealers, Baldwin should reject the deal unless some revisions to the deal are presented.

Application of Statistical Concepts in the Determination

Experiment 1: APPLICATION OF STATISTICAL CONCEPTS IN THE DETERMINATION OF WEIGHT VARIATION IN SAMPLES LEE, Hyun Sik Chem 26. 1 WFV/WFQR1 ————————————————- Nov. 23, 2012 A skillful researcher aims to end his study with a precise and accurate result. Precision refers to the closeness of the values when some quantity is measured several times; while accuracy refers to the closeness of the values to the true value. The tool he utilizes to prevent errors in precision and accuracy is called statistics.In order to become familiar to this tactic, the experiment aims to help the researchers become used to the concepts of statistical analysis by accurately measuring the weights of ten (10) Philippine 25-centavo coins using the analytical balance, via the â€Å"weighing by difference† method. Then, the obtained data divided into two groups and are manipulated to give statistica l significance, by performing the Dixon’s Q-test, and solving for the mean, standard deviation, relative standard deviation, range, relative range, and confidence limit—all at 95% confidence level.Finally, the results are analyzed between the two data sets in order to determine the reliability and use of each statistical function. RESULTS AND DISCUSSION This simple experiment only involved the weighing of ten 25-centavo coins that are circulating at the time of the experiment. In order to practice calculating for and validating accuracy and precision of the results, the coins were chosen randomly and without any restrictions. This would give a random set of data which would be useful, as a statistical data is best given in a case with multiple random samples.Following the directions in the Analytical Chemistry Laboratory Manual, the coins were placed on a watch glass, using forceps to ensure stability. Each was weighed according to the â€Å"weighing by differenceâ₠¬  method. The weighing by difference method is used when a series of samples of similar size are weighed altogether, and is recommended when the sample needed should be protected from unnecessary atmosphere exposure, such as in the case of hygroscopic materials. Also, it is used to minimize the chance of having a systematic error, which is a constant error applied to the true weight of the object by some problems with the weighing equipment.The technique is performed with a container with the sample, in this experiment a watch glass with the coins, and a tared balance, in this case an analytical balance. The procedure is simple: place the watch glass and the coins inside the analytical balance, press ON TARE to re-zero the display, take the watch glass out, remove a coin, then put the remaining coins back in along with the watch glass. Then, the balance should give a negative reading, which is subtracted from the original 0. 0000g (TARED) to give the weight of the last coin. The p rocedure is repeated until the weights of all the coins are measured and recorded.The weights of the coins are presented in table 1, as these raw data are vital in presenting the results of this experiment. Table 1. Weights of 25-centavo coins measured using the â€Å"weighing by difference† method| Sample No. | Weight, g| 1| 3. 6072| Data Set 2| Data Set 1| 2| 3. 7549| | | 3| 3. 6002| | | 4| 3. 5881| | | 5| 3. 5944| | | 6| 3. 5574| | | 7| 3. 5669| | 8| 3. 5919| | 9| 3. 5759| | 10| 3. 6485| | Note that the data are classified into two groups, Data Set 1 which includes samples numbered 1~6 and Data Set 2 which includes samples numbered 1~10.Since the number of samples is limited to 10, the Dixon’s Q-test was performed at 95% confidence level in order to look for outliers in each data set. The decision to use the Q-test despite the fact that there were only a few, limited number of samples and to use the confidence level of 95% was carried out as specified in the Laborat ory Manual. Significance of Q-test The Dixon’s Q-test aims to identify and reject outliers, values that are unusually high or low and thus differ considerably from the majority and thus may be omitted from the calculations and usages in the body of data.The Dixon’s Q-test should be performed, since a value that is extreme compared to the rest can bring inaccurate results that go against the estimated limits set by other calculations and thus affect the conclusion. This test allows us to examine if one (and only one) observation from a small set of replicate observations (typically 3 to 10) can be â€Å"legitimately† rejected or not. The outlier is classified objectively, by calculating for the suspected outlier, Qexperimental, Qexp, and comparing it with the tabulated Qtab. Qexp is determined by Qexp equation (1). Qexp=Xq-XnR (1)Where Xq is the suspected value, Xn is the value closest to Xq, and R is the range, which is given by the highest data value subtracted by the lowest data value. R=Xhighest-Xlowest (2) If the obtained Qexp is found to be greater than Qtab, the outlier can be rejected. In the experiment, the sample calculation for Data Set 1 is given below: Qexp=Xq-XnR=3. 7549-3. 60723. 7549-3. 5574=0. 14770. 1975=0. 74785 Since Qtab for the experiment is set as 0. 625 for 6 samples at 95% confidence level, Qexp>Qtab. Thus, the suspected value 3. 7549 is rejected in the calculations for Data Set 1.The same process was done for the lowest value of Data Set 1 and the values for Data Set 2, and the values were accepted and will be used for further calculations. This is shown in table 2. (Refer to Appendix for full calculations. ) Table 2. Results of Dixon’s Q-Test| Data Set| Suspect Values| Qtab| Qexp| Conclusion| 1| 3. 7549| 0. 625| 0. 74785| Rejected| | 3. 5574| 0. 625| 0. 15544| Accepted| 2| 3. 7549| 0. 466| 0. 53873| Accepted| | 3. 5574| 0. 466| 0. 048101| Accepted| The statistical values were then computed for the two data sets, and were compared to relate the significance of each form of statistical functions.The values required to be calculated are the following: mean, standard deviation, relative standard deviation (in ppt), range, relative range (in ppt), and confidence limits (at 95% confidence level). Significance of the mean and standard deviation The mean is used to locate the center of distribution in a set of values [2]. By calculating for the average value of the data set, it can be determined whether the set of data obtained is close to each other or is close to the theoretical value. Thus, both accuracy and precision may be determined with the mean, coupled with other statistical references.In the experiment, the mean was calculated using equation (3). The sample calculation used the data from Data Set 1, which had 5 samples after the outlier was rejected via the Q-test. X=i=1nXi=X1+X2+X3†¦+Xnn 3 =(3. 6072+3. 6002+3. 5881+3. 5944+3. 5574)5=3. 5895 Mean is represented by X, the data v alues by X, and the number of samples by n. It can be observed that the mean indeed shows the precision of the accumulated values, as all the values are close to each other and the mean. The standard deviation, on the other hand, is a relative measure of precision of the values.It shows how much the values spread out from the mean. A smaller standard deviation would show that the values are relatively closer to the mean, and a bigger one would show that the values are spread out more. This does not determine the validity of the experimented values. Instead, it is used to calculate further statistical measures to validate the data. The equation (4) was used to calculate the standard deviation, where s represents standard deviation, and the rest are known from the mean. The data set used is the same as the mean. s=1n-1i=1nXi-X2 4 =15-1[3. 072-3. 58952+3. 6002-3. 58952+3. 5881-3. 58952+3. 5944-3. 58952+3. 5574-3. 58952] =0. 019262 Mean and standard deviations by themselves are relative ly poor indicators of the accuracy and precision of the data. These are manipulated to give clearer views on the data. One of the measures of precision is the relative standard deviation. RSD=sX? 1000ppt (5) =0. 0192623. 5895? 1000=5. 3664 The relative standard deviation is a useful way of determining the precision of the data compared to other sets of data, as the ratio would be a good way of differentiating the two.This will be expounded further. Range is easily found with equation (2) to give the value of 0. 0498, taking note that the highest value was rejected via the Q-test. R=3. 6072-3. 5574=0. 0498 The relative range is also a way of comparing sets of data, just like the relative standard deviation. Again, it will be discussed when comparing the values from data sets 1 and 2. RR=RX? 1000ppt (6) =0. 04983. 5895? 1000=13. 874 Significance of the confidence interval The confidence interval is used to give the range at which a given estimate may be deemed reliable.It gives the in terval in which the population mean is to be included in. The boundaries of the interval are called confidence limits, and are calculated by equation (7). Confidence limit=X ±tsn 7 =3. 5895 ±2. 780. 0192625 =3. 5895 ±0. 023948 Using the confidence limit and the interval, one can easily determine the value that can be estimated if the same experiment was performed. The confidence limit shows that there is a 95% confidence that the actual mean lies between the values of 3. 5656 and 3. 6134. Difference between Data Set 1 and Data Set 2The statistical values computed from the two data sets are arranged below in table 3. Table 3. Reported values for data sets 1 and 2| Data Set| Mean| Standard Deviation| Relative SD| Range| Relative Range| Confidence Limts| 1| 3. 5895| 0. 019262| 5. 3664| 0. 0498| 13. 874| 3. 5895 ±0. 023948| 2| 3. 6085| 0. 057153| 15. 838| 0. 1975| 54. 731| 3. 6085 ±0. 040846| The two data differ in all the components, but what’s important are the relati ve standard deviations and the relative range. The standard deviation and the relative range, along with the confidence limits went up from data set 1 to 2.This shows that the data became less precise as more values were added, which is normal since one cannot always expect perfect results from every trials. The relative values all show the precision of the data from each other—the lower the number, the more precise they are. However, since the number of elements increased as the relative values increased as well, we can say that data set 1 is more precise but it isn’t accurate, since the sample population is quite limited. Statistical values have been computed and analyzed so that when further, more difficult research arises, the researchers will be able to accomplish them without problems.These values are significant in determining the accuracy of the experiment. For example in this experiment, the actual weight of 25 centavo coins is found to be 3. 6g for brass plat ed steel coins minted from 2004. It can be deduced that the majority of the coins used are indeed from that value, and that the mean became more accurate to the true value as more samples were used. REFERENCES Silberberg, M. S. (2010). Principles of general chemistry (2nd ed. ). New York, NY: McGraw-Hill Jeffery, G. H. , Bassett, J. , Mendham, J. , & Denney, R. C. (1989).Vogel’s textbook of quantitative chemical analysis (5th ed. ). Great Britain: Bath Press, Avon http://www. bsp. gov. ph/bspnotes/banknotes_coin. asp. Accessed Nov. 21, 2012. Appendix Working Calculations Q-test Data Set 1 (Highest) Qexp=|3. 7531-3. 6921|0. 1920=0. 3177 0. 3177

Immediately I’d hand him my painfully heavy bag

When the bell rang at school I always waited anxiously to hear him. He’d call my name and when I turned around I knew exactly how he’d look. I’d still stare and smile back at his crinkly smiling eyes.   He’d always have his sunglasses on top of his bald head.Immediately I’d hand him my painfully heavy bag. At that moment all my homework troubles and test woes were over. He’d ask me the usual about school and friends. Although he knew I was shy around other people and often bullied around, he’d still ask, â€Å"How many kids did you beat today at recess?† The irony of it always made me laugh.While he drove me home he always chatted like a chirpy bird. He’d make his usual stop everyday. I knew what he’d say before leaving the car but I always looked forward to it. He’d say conspicuously, â€Å"Let me say a quick hello to my friend†. I’d   know exactly why he stopped but I’d play innoce nt.The stop meant he was getting candies from the store. He’d return back with chocolates and colored candies smiling, and say, â€Å"My friend sent these for you†. I can’t ever recall him not smiling. With the greed of a 6 year old I’d peer into the big bag and immediately gobble the loot before the school bus even reached home.I remember this particular day spent with him. While I was sitting in the backseat of the school bus and gloating over my treasure and with my mouth still full of chocolates I exclaimed, â€Å"You’re the best uncle ever; you buy the best things even when I never ask you for them†. He looked back at me from the rearview mirror and smiled.But, I remember seeing something strange and wistful in his eyes. I couldn’t understand it then but he said, â€Å"One day when you’re all grown up and going to university, I will pass you by on the street and I will call out to you but you wont recognize your Uncle Rob †¦I will ask you don’t you remember me? But no mater how hard you try, you won’t be able to remember me†.I was mad at Uncle Rob that day. I was angry at his confidence in the future that he had never seen. I reasoned with him as much as a six year old can. He stood firm. I explained to him again and again that I see him first thing in the morning when he drops me to school and last thing before he drops me back home. This will have to continue till I’m sixty years old and don’t need to go to school. He laughed sadly and shook his head in disagreement.The school year ended and Uncle Rob stopped picking and dropping me from school. I remember laughing, arguing and played games with him. When I moved to another state at the end of the year I made a mental note to myself to remember him.I put a flag to his memory and engraved his image in the deep recesses of my mind. I promised to never forget him. I’m almost 24 now and his memory is still flawless in my mind. But I wonder, if I’m walking on the street and come across a man with those crinkly smiling eyes and I call out his name, will he remember me?   

Human immunodeficiency virus and acquired immunodeficiency syndrome Essay

Human immunodeficiency virus and acquired immunodeficiency syndrome - Essay Example Global statistic shows that approximately 33.4 million of people are currently live with AIDS/HIV among them are 3.3 million of children. Also, approximately 97% of all patients that have AIDS/HIV are from low and middle income countries. The first cases of AIDS/HIV were detected in 1981. Since that time HIV lead to 25 million deaths all over the world. Therefore AIDS/HIV is the most important health challenge nowadays. HIV related to the lentiviruses from Retroviridae family. This genus of viruses mainly characterizes by their ability to transmit quite huge amount of viral RNA into the DNA of the host cell. Also they can infect non-dividing cells. The main targets for HIV are cells of the immune system such as macrophages that are white blood cells and can protect our organism through phagocytosis from outer dangerous substances; dendritic cells that involve in process of antigen production and presenting on the surface of the T cells; T helper cells that play important role in adaptive immune system and immune responses. (Mayo Clinic,2014) HIV damages CD4+ cells that related to the T helper cells and the amount of such cells rapidly decreased. When level of CD4+ cells is lower than a minimal level cell-mediated immunity stops work properly and does not release phagocytes and cytokines as a response to an antigen. This is quite dangerous process that leads to the extremely high susceptibility of organism to opportunistic infections that are not that dangerous and usually do not cause disease in people with a healthy immune system. (Mayo Clinic,2014)

Should we drill for offshore oil Research Paper

Should we drill for offshore oil - Research Paper Example After its formation, it travels from the source rock onto the surface where it is trapped in impermeable layers of rocks and forms a reservoir. Reservoirs range in depth ranging from a hundred feet deep to thousands of feet below the surface. Others are found offshore covered with a lot of water and sediment. This product is called crude oil and is made up of carbon and hydrogen atoms that form highly combustible fuels. It also contains nitrogen, oxygen and sulfur and these three elements lower its quality, making it hard to work with. These hydrocarbons contain paraffin energy that produces gasoline, paraffin wax, and diesel fuel. In addition, an oil reservoir is a pool of these hydrocarbons that are below the surface in porous rock structures where they have accumulated. They are found in a few countries in the world and most of those in the Middle East with Saudi Arabia having the most oil deposits. It is considered a non-renewable resource as it cannot be replaced naturally, since its formation takes millions of years. Drilling is the most used method of oil extraction. Identification of the precise location of the oil begins the process. Geologists who use instruments like gravimeters and seismic surveys do this. Once the location is identified, drilling begins. When a steady flow is The drilling gun is made with explosive charges that enable oil to run through the holes in its casing. Once it has perforated properly, a tube is put into the well that allows the oil to run upwards. The tube is then sealed with a packer that is positioned along the outer part. The final step is placing a structure known as a Christmas tree that allows the flow of the oil to be controlled. Most of the extracted contains sediments that can be used for energy. If these sediments are not disposed, they can cause pollution. After the harvesting, the oil is pumped into oil tankers where it is transported to oil refineries to be refined into products useful