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    Data Analysis

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    c. ratio scale d. interval scale 2. Data obtained from a nominal scale a. must be alphabetic b. can be either numeric or nonnumeric c. must be numeric d. must rank order the data 3. In a post office‚ the mailboxes are numbered from 1 to 4‚500. These numbers represent a. qualitative data b. quantitative data c. either qualitative or quantitative data d. since the numbers are sequential‚ the data is quantitative 4. A tabular summary of a set of data showing the fraction of the total number

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    Welfare Measure

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    the health of the workers from occupational diseases. But to improve the productivity‚ it was essential to improve and maintain the morale and the sense of security at work of the workers. Providing them various amenities in addition to their regular salary could do this. These amenities are also known as welfare measures‚ which are provided by the labours to the workers. This would include both the statutory welfare measures as well as the non-statutory welfare measures. The welfare amenities prove

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    capacity. But A’s lack of capacity will affect ▪ The contract of agency between P and A ▪ An action against the agent by the 3rd party for breach of warranty of authority. ACTUAL AUTHORITY Actual authority may arise from express agreement or from implied agreements. Where the principal expressly appoints an agent to do some act or enter into some contract on his behalf the Agent has express authority. If the instructions are not clear he should get

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    From Data‚ Information and Knowledge to Wisdom The data-information-knowledge-wisdom (DIKW) continuum is a concept of the transformation of data into wisdom through cognitive processes. DIKW was initially used to illustrate principles of information management for the designing of information systems (Davenport & Pursak‚ 1989)(Saltworks‚ 2009). DIKW models utilized by nursing such as the model by Englebart & Nelson (2002)‚ incorporate principles of increasing complexity due to increasing

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    range and scope of data being collected today. We are barraged with statistics on sports results‚ economic indicators and politics: people are becoming familiar with scoring averages‚ inflation rates and voter satisfaction surveys. The advent of low-cost personal computers combined with the widespread availability of powerful computing software‚ such as Excel‚ means that many people have both large data sets and powerful tools with which to analyse them. In this report‚ a data set collected by the

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    Initial Investment The desired item is jewelry The cost in 12 years will be about $6000. The average interest rate is 5%. The Present value formula is P =A (1+r)-n where P is the present value that will amount to A dollars in n years at interest rate r compounded annually. Note that the quantity raised to a power has the negative exponent on –n. According to the rules of exponents‚ this means that once the negative is put into effect‚ the base quantity will change position by dropping down

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    Data Description

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    Chapter 3 Data Description 3-1 Measures of Central Tendency ( page 3-3) Measures found using data values from the entire population are called: parameter Measures found using data values from samples are called: statistic A parameter is a characteristic or measure obtained using data values from a specific population. A statistic is a characteristic or measure obtained using data values from a specific sample. The Measures of Central Tendency are: • The Mean • The

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    Ratio 4) Market Ratio 1. Profitability Ratio - Profitability ratios measure the firm ’s use of its assets and control of its expenses to generate an acceptable rate of return. a. ROE - Return On Equity - Measures the rate of return on the ownership interest (shareholders ’ equity) of the common stock owners. ROE is viewed as one of the most important financial ratios. It measures a firm ’s efficiency at generating profits from every dollar of net assets (assets minus liabilities)‚ and shows how

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    Technology EA Report: NodeXL Assignment APM 1st year student 12410179 HOANG Nguyen Phong Due Date: January 25‚ 2011 16:00 HOANG Nguyen Phong 12410179 Page 1 Mathematics for Information Technology EA I. Getting and Processing data from Twitter: Firstly‚ by “import tool” in NodeXL plug-in for Microsoft Excel‚ I searched for people whose tweets contains the key word “Julian Assange”‚ and ticked to all of three boxes “Follows”‚ “Replies-to”‚ and “Mentions relation” with the 100 people

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    Calculations: a. 1. W = Vend − Vstart W = 1.87 mL – 0.92 mL W = .95 mL Wave = W1+W22 Wave = .95 mL+ .88 mL2 Wave = .915 mL 2. Vstartave = Vstart1+Vstart22 Vstartave = .92 mL+ .90mL2 Vstartave = .910 mL VRave = Vstartave + Wave2 VRave = .910 mL + .915 mL2 VRave = 1.37 mL 3. k’ = Vrave-VmVm k’ = 1.37 mL-.49 mL.49 mL k’ = 1.79 4. α = k’bluek’red α = 4.141.79 α = 2.31 5. R = (VRaveBlue-VRaveRed).5 (Wave(Blue)+Wave(Red))

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