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    THE FOCAL LENGTH OF SPHERICAL MIRRORS Section 1: The Focal length of a concave mirror Section 2: The focal length of a convex mirror Done by: I.D: 201100635 24 Oct. 11 Section 1: To determine the focal length of a Concave Mirror by locating the centre of curvature. ------------------------------------------------- ABSTRACT: In this paper we want to discuss the focal point of a concave mirror by locating the centre of curvature. The focal point is a point in space at which light incident towards

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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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    DJIA and DJUSTC could be estimated by market moving economic indicators (e.g. updates of GDP‚ Jobless claims‚ Consumer confidence index‚ etc.)‚ this analysis will help an individual investor to identify patterns and trends that may suggest the daily price change of the AAPL stock. DATA DESCRIPTION: The data used in this analysis is a time series data of the daily stock/index price starting from February 1st‚ 2013 to May 24th‚ 2013 (accessed 5-27-2013 from www.finance.yahoo.com). The three variables

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    Please write an essay on the AFIS system. This is the Automatic Fingerprint Identification System. This should be in the order of 1500-2‚000 words. Bring out the main points of the system. E.g. History‚ who uses it‚ future developments. Also include technical information on how it works with advantages and disadvantages. Automatic Fingerprint Identification system (AFIS) is the biggest fingerprint and criminal history system in the world which operates 365 days a year. The system responds to requests

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    | | | Rebecca RoyN8586799Tutor: Jenny Houtsma | [BSB123 - Data analysis research report] | Analyzing the relationships between different variables in relation to one year returns within the superannuation industry. | Contents 1.0 Introduction 2 2.0 Outliers 3 3.0 Historical Analysis 4 4.0 Current Data (One Variable Analysis 5 5.0 Bivariate and Trivariate Analysis 6 5.1 Impact of Investment Strategy on One Year Returns 6 5.2 Impact of Three Year Returns on One Year

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    Community Intervent... >          Section 5. Collecting and Analyzing Data    Collecting and Analyzing Data | | Contributed by Phil Rabinowitz and Stephen FawcettEdited by Christina Holt | What do we mean by collecting data? What do we mean by analyzing data? Why should you collect and analyze data for your evaluation? When and by whom should data be collected and analyzed? How do you collect and analyze data?   In previous sections of this chapter‚ we’ve discussed studying the

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    1. Give an example of a government policy that acts as an automatic stabilizer. Explain why this policy has this effect. According to our text‚ automatic stabilizers are changes in fiscal policy that stimulate aggregate demand when the economy goes into recession without policymakers having to take any deliberate action. Automatic stabilizers come in the form of our tax system and government spending. As an individual’s income increases‚ they get put in a higher tax bracket. When the economy goes

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    Data Analysis‚ Presentation & Interpretation Prof. Dr. Md. Nazrul Islam Ph.D 1 Data Analysis Plan The appropriate methods of data analysis are determined by your data types and variables of interest‚ the actual distribution of the variables‚ and the number of cases. 2 Data Management 3 Why prepare a plan for processing and analysis of data? All information has been collected in a standardized way Not collected unnecessary data which will never be analyzed A statistical analysis plan should

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    Information Systems Management Research Project ON Data Warehousing and Data Mining Submitted in Partial fulfilment of requirement of award of MBA degree of GGSIPU‚ New Delhi Submitted By: Swati Singhal (12015603911) Saba Afghan (11415603911) 2011-2013

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    SPSS Data Analysis Examples Logit Regression Version info: Code for this page was tested in SPSS 20. Logistic regression‚ also called a logit model‚ is used to model dichotomous outcome variables. In the logit model the log odds of the outcome is modeled as a linear combination of the predictor variables. Please note: The purpose of this page is to show how to use various data analysis commands. It does not cover all aspects of the research process which researchers are expected to do. In particular

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