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    Percent Copper and Formula of a Copper Compound Sofia Economides Date Preformed: 3/19/2012 Date Submitted: 3/26/2012 Lab Partners: Anita Smith‚ Taylor Bell‚ Derek Bourgeois 1. Purpose a. To determine the percent of copper and the formula weight of a copper compound. 2. Introduction a. Magnesium is a very active metal which can reduce copper (II) ions in a weight sample of a compound to metallic copper. The reduction of copper ions in a compound to a copper metal

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    Explain the procedures which need to be follow when preparing an outing with the children‚ think about before the day and the actual day of the outing. Before organising an outing a purpose must be ascertained such as enhancing the learning‚ providing stimulus to the curriculum‚ giving the children a real experience and to practice skills and relationships in a different context and environment. When planning a visit‚ it must be suitable and relevant for the age range of the children. In the

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    Engineering Practicum Procedures Requirements for a Successful Experience The successful completion of the Engineering Practicum unit (ENS4111) requires 0 One or more certificates signed by the employer(s) confirming that the student has completed at least 12 weeks of equivalent full time work experience in an engineering environment. 1 A report of typically 2000-3000 words that describes the engineering experiences gained during one contiguous period of employment with one company.

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    For this assignment I will discuss and evaluate the improvements to computer systems achieved by routine housekeeping procedures and the benefits. Listed below is what I shall be discussing. - Physical cleaning - Disk Defragment - Virus Scanning - Disk Clean up - Disk Checker - Windows updates Physical Cleaning Physical cleaning means that you will clean the keyboard‚ mouse‚ computer screen and check for any errors such as stuck or missing keys on the PCs keyboard. This process involves

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    The state of your grill grates has a direct impact on the taste and appearance of your food as well as the ease of grilling. Dirty grill grates can lead to flare-ups‚ or they might leave pieces of carbon on your food. Cleaning your grill grates is essential‚ but not every cleaning method is effective. If you go about it in the wrong way‚ you could actually wind up damaging them. Consider the following dos and don’ts of cleaning grill grates. Dos Do invest in a quality grill brush

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    Top-up Degrees (Entry to year 3 – UK Universities) Acceptance to a university programme is at the discretion of the individual university Top-up degrees are of one year duration‚ entering onto the final year of the full time undergraduate BA / BSc Honours degrees. Students who have an HND (Higher National Diploma) may progress onto the final year of a degree programme‚ subject to unit grade performance at HND‚ and English language capability (usually IELTS 6.0) The following universities

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    2014 HIGHER SCHOOL CERTIFIC ATE EXAMINATION Mathematics General 2 FORMULAE AND DATA SHEET Financial Mathematics Data Analysis Simple interest Mean of a sample I = Prn P r n x= sum of scores number of scores is initial amount is interest rate per period‚ expressed as a decimal is number of periods z-score For any score x‚ z= Compound interest A = P (1 + r ) A P r n n x s is final amount is initial amount is mean is standard deviation

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    REGRESSION 1. Prediction Equation 2. Sample Slope SSx= ∑ x2- (∑ x)2/n SSxy= ∑ xy- ∑ x*∑ y/n 3. Sample Y Intercept 4. Coeff. Of Determination 5. Std. Error of Estimate 6. Standard Error of 0 and 1 7. Test Statistic 8. Confidence Interval of 0 and 1 9. Confidence interval for mean value of Y given x 10. Prediction interval for a randomly chosen value of Y given x 11. Coeff. of Correlation 12. Adjusted R2 13. Variance Inflation

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    Biaxial stress & strain Poisson’s ratio σx = E1-v2 (εx + vεy) εx = 1E (σx - vσy) Uniaxial: v = - εyεx σy = E1-v2 (εy + vεx) εy = 1E (σy - vσx) Biaxial: v = E2G - 1 εz = - vE (σx + σy) Triaxial stress & strain

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    Quant Formula Study Guide MISCELLANEOUS‚ COMMONLY USED FORMULAS Finite population correction factor: Multiply SE of sample mean by fpc to make the correction ------------------------------------------------- Independent samples of same population with same standard deviation (variances are equal). Confidence interval: df for t-multiple is (df1 + df2)‚ or (n1 – 1) + (n2 - 1) Pooled estimate of common standard deviation: SE of difference between two sample means -------------------------------------------------

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