Data Selection (refer to Excel sheets: Scatter1 and Scatter2) We used Excel to draw a scatter plot to see the relationship between price and carat. The data presented two different groups of data: 1) Diamonds at low prices with low carat and (2) diamonds at high prices with high carat weight. The data with the diamonds at low prices and low carat is irrelevant so we excluded that portion of the data which had prices under $1000. Selected data to run the regression Selected data to run the
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model size intended for the research investigation. However, for a sample size calculators they are accessible through Creative Research Systems in addition to Raosoft in which the Creative Research System company has a field where the assurance interval could be put in, in which it will determine the scope of error for which it is going to happen for supporting on the responds of the research contributors (2010) (2004). Also the calculators preference offers an
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1) We don’t think Amanda should purchase the car, not without meeting with the seller and inspect the vehicle. There is no doubt that car auctions are great places for the purchase of affordable vehicles. At the same time, buyers should be cautious with the used cars. Especially for the buyers like Amanda who has a relatively low budget. The deal seemed very attractive and suspicious in the first place, because the sale price of the car was below the reasonable average value of the market in comparison
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Communication Program Assessment Report Narrative: The communication faculty at Georgia Perimeter College (GPC) is committed to the mission of the college which includes strengthening student success, fostering a culture of teamwork, and enhancing the economic, social, and cultural vitality of the communities the college serves. Faculty commitment to the mission includes assessing the Communication Program of Study and individual communication courses. The Communication Program of Study includes
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1.O BACKGROUND: What is a condominium? Most of us heard and even see what a condominium is. However, we still ask ourselves sometimes, why is it called a condominium? In a condominium (commonly called a condo), some parts of it, like our residence - are owned privately, while others - common areas - are owned collectively by all of the building's residents. A less technical way of describing a condo is an apartment that you own. In real-world terms, condos often take the form of an apartment or similar
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Explore |Notes | |Output Created |12-Feb-2012 14:20:11 | |Comments | | |Input |Active Dataset |DataSet1
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grams were 3.087 3.131 3.241 3.241 3.270 3.353 3.400 3.411 3.437 3.477 (a) Construct a 90 percent confidence interval for the true mean weight. E = 1.96(s/sqrt(n)) = 1.96[0.131989/sqrt(10)]=1.96*0.41739 =0.081808 C.I. = (x-bar-E,x-bar+E) = (3.3048-0.0818,3.3048+0.0818) (b) What sample size would be necessary to estimate the true weight with an error of ± 0.03 grams with 90 percent confidence? n=[z'*s/E]^2 n=[1.645*0.131989/0.03]^2 = 52.38; rounding up, n=53 (c) Discuss the factors which
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Introduction In-Process Technology was set up in 1985 to produce and sell a thermal oxidation process that could be used to reduce industrial pollution. For years, however, the company performed dismally. In 1992, the current CEO was hired to turn things around, and the company was reorganized and renamed Thermatrix. Eventually, Thermatrix was able to attract good employees using stock options and other competitive compensation and currently has 60 employees and annual sales of approximately $15
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477 A) Construct a 90% confidence interval for the true mean weight Assuming the population has a normal distribution, we should use the Student t distribution E= z(sigma)/ sqrt(n) E= 1.645(0.13199/ sqrt(10) E= 0.06866 x-bar= 3.3048 90% CI = 3.3048-.06866= 3.23614, 3.3048 + 0.06866 = 3.37346 Confidence interval: 3.23614 to 3.37346 B) What sample size would be necessary to estimate the true weight with an error of +,- 0.03 grams with 90% confidence ? E = z*sigma/sqrt(n)
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The Journey to Finding Confidence The walk home from school during my elementary years was something I loved. Not only did I look forward to it because it meant that school was over for the day, I also looked forward to it because it was one of the few times I had to myself. Amidst the chaos of little kids laughing, screaming, and racing each other home, I would tune out the noise and just think. Eventually I would make it home; my time alone would expire, and I would find myself looking forward
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