automatic pipette. 4. After all of the weights of water have been recorded from each pipette‚ convert them into units of volume (µl)‚ taking the temperature into consideration. 5. Record all of the units into a table and calculate the mean‚ standard deviation and the standard error of the mean for each set of results. (3) Results: Room Temperature = 24oC Density of Water = 0.997296 Gilson P1000 - Weight of cup before experiment = 0.9054g Adding 1ml each time 1.0093g 2
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precise and more accurate within a standard deviation of + 0.06 g/cm^3‚ where water displacement method had a standard deviation of + 0.15 g/cm^3. Graph #2 shows the error was greater according to water displacement method when measuring the initial and final volume’s displaced with a standard deviation of + 2.0 g/cm^3. The average calculated density of the regular shaped objects compared to the graphical determination were within + 2g/cm^3 standard deviations. The accuracy and precision‚ when comparing
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to 36 students to see if the attitudes of students toward the mentally ill would change. The results of the class of 36 that watched the film had a score of 70. The results of the class that did not watch the film had a score of 75. The standard deviation is 12. When the alpha is set to 0.05. .05 is a mid-probability. It means we’re using to reduce the likelihood of errors. It means there is a 5% chance that an error may occur. These errors usually will lead to the rejection of the null hypothesis
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We then recorded those values. 3.We found the mass of a standard mass on the balance pan. We recorded the mass as accurately as was allowed by the balance. 4.We moved the smallest counterweight over slightly until there was the slightest deviation from the zero point. We recorded that value. Then‚ we moved the counterweight in the opposite direction. We recorded that value. 5.We measured and recorded the mass of each of the two objects of unknown mass. We added those values to the class
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Accuracy improvement method of eddy current sensor Qiaoyun Liu1‚2‚ Enming Miao1‚2#‚ Xin Wang1‚2‚ Xianrui Ji1‚2 1School of Instrument Science and Opto-electronics Engineering‚ Hefei University of Technology‚ Hefei Anhui‚230009‚China 2State Key Laboratory for Manufacturing Systems Engineering(Xi’an Jiaotong University)‚ Shanxi‚710049‚China #Corresponding Author : miaoem@163.com‚ TEL: +86-14705511579 KEYWORDS:Eddy Current Sensor; Error Correction; Least Squares Abstract Eddy current sensor
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WORLD_STOCKS. Using your answer to 2.a.‚ what is your estimate of the expected return on WORLD_STOCKS for next year? Explain. 3. Stock A’s expected return and standard deviation are E[r A] = 10% and A= 18%‚ while stock B’s expected return and standard deviation are E[rB] = 12% and B= 21%. 3.a. Determine the expected return and standard deviation of the return on a portfolio with weights A=0.3 and B=0.7 for the
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Therefore‚ the lead time is L=1+5=6 weeks and review time T=1 week. Based on the data in Exhibit 13.14 in the textbook‚ we use Excel to calculate the average monthly demand (mean) and the standard deviation for each version of the printers (Exhibit 1). In order to calculate the standard deviation of demand over the review and the lead time‚ we use the formula below: σT+L=√((T+L)) σ2d Therefore‚ we can get σT+L for each version‚ which are listed in the exhibit 2. 2. Compare your results
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Consumer perception about recent online purchase of software Sushil Ghadge 1214AMS026 Introduction: Ninety-nine percent of software consumers in the India have access to either on a PC or laptop computer at home or work‚ 43% have a smartphone and 12% have an iPad or e-reader. These consumers are regularly downloading software or applications for these devices‚ but much of what they download is either free or costs less than 2500. The maturity of open source software
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double up‚ equaling 48. From district 12 is 0.8 and 0.8 because soon all the tributes will die. 12. The theoretical probability of the 74th Hunger Games ending in the way that it did is 1/74. 13. The Standard Deviation is 9.36830156. Without the outlier the Standard Deviation becomes 4.2604595. The outlier spreads the information
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2. Fill in the table with what Amit and Barbara each forecast for May and the earlier months‚ as relevant. 3. Assume that May’s actual sales figure turns out to be 405. Complete the table’s columns and then calculate the mean absolute deviation for both Amit’s and Barbara’s methods. 4. Based an these calculations‚ which method seems more accurate? 1. Naive forecast: | Sales | Naive Forecast | Error | |Error| | Error^2 | % | January | 400‚00 | - | 400‚00 | 400‚00 | 160000
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