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    Data Analys

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    of variables Qualitative Quantitative • Reliability and Validity • Hypothesis Testing • Type I and Type II Errors • Significance Level • SPSS • Data Analysis Data Analysis Using SPSS Dr. Nelson Michael J. 2 Variable • A characteristic of an individual or object that can be measured • Types: Qualitative and Quantitative Data Analysis Using SPSS Dr. Nelson Michael J. 3 Types of Variables • Qualitative variables: Variables which differ in kind rather than degree • Measured

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    data mining

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    Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific

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    insight into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are:   a) Data warehousing   b) Data Mining   c) ETL   d) Data Mart An attempt has been made to analyse different ways of using these for the enhancement in the different field. Data warehousing and current

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    Data Security

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    Subnetting __________. b. is also called subnet addressing 2. A virtual LAN (VLAN) allows devices to be grouped __________. a. logically 3. Convergence combines voice‚ data‚ and video traffic __________. a. over a single IP network 4. Each of the following is a convergence security vulnerability except __________. a. convergence resource attacks (CRA) 5. Which of the following is not true regarding a demilitarized zone (DMZ)? a. It contains servers that are only used by

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    Primary Data is Original data‚ this means that it has been collected by you‚ someone who has volunteered to assist you in your research‚ or by someone who is within your employ to gather this research‚ this does not include comparing results with your peers to help evaluate the accuracy of your own results‚ as this type of data has not been gathered by you‚ or have you had any part in the gathering of this information. There are a few ways in which primary data can be obtained‚ which includes surveys

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    higher in a hot saline and low in cold saline temperature parameters. Educated Guess Answer: Phenomenally cardiac output is supposed to rise in hot saline conditions and drastically go down in cold saline conditions. Normalising Data Table 2.1: Cardiac output normalised data of frogs in normal‚ hot and cold saline conditions Normal Hot Cold FROG SV(mV/beat) HR(beat/min) Cardiac output(L/min) SV(mV/beat) HR(beat/min) Cardiac output(L/min) SV(mV/beat) HR(beat/min) Cardiac output(L/min) 1 0.699

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    Data Management

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    best alternative in the following: Q.1 In the relational modes‚ cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product in relational algebra is (A) a Unary operator. (B) a Binary operator. (C) a Ternary operator. (D) not defined

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    purpose of descriptive statistics is to A. summarize data in a useful and informative manner B. make inferences about a population C. determine if the data adequately represents the population D. gather or collect data 2) The general process of gathering‚ organizing‚ summarizing‚ analyzing‚ and interpreting data is called A. statistics B. descriptive statistics C. inferential statistics D. levels of measurement 3) The performance of personal and business investments

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    Position Measurement of an Absorber Clamp Chun Hao Ng University of South Australia/ School of Electrical and Information Engineering‚ Mawson Lakes‚ Australia NGYCH007@students.unisa.edu.au +61433180430 Abstract —This paper reports on the development of the Remote Sensing of an Absorber Clamp system. An overview of the implementation method and background reasoning is given on the developed system. Index Terms— Rotary Encoders‚ Position Measurement‚ Electromagnetic Compatibility

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    Problem set

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    ECE 302 Problem Set 9 Fall 2013 The following problems have been selected from the course text. 4.78 In a large collection of wires‚ the length of a wire is X‚ an exponential random variable with mean 5π cm. Each wire is cut to make rings of diameter 1 cm. Find the probability mass function for the number of complete rings produced by each length of wire. 4.85 The exam grades in a certain class have a Gaussian pdf with mean m and standard deviation σ. Find the constants a and b so that

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