Censored data & Truncated data Censoring occurs when an observation or a measurement is outside the range and people don’ t know the certain value. The value is always above or below the range that people set. However‚ truncated data means that because of the limits‚ such as time‚ or space‚ people lose some data. Truncation is to cut off the data. In other words‚ we have collected and use the data‚ but the data is not in the range we have. It is called censored data. We don’t use the data because
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ISDATA ANALYSIS USING SPSS Overview • Variable • Types 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:
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memorandum to: Dr. Dianne Pearman and Susan Midwood from: Jessica mccrary subject: Audience analysis memo: hypertension date: July 10‚ 2016 When researching a topic on the internet we find that different Websites can be aimed toward specific audiences. “Besides identifying the primary and secondary audiences in a general way‚ you also need to understand your relationship with everyone involved” (Gurak & Lannon‚ pg. 53). This helps to determine the outline and formality of what will be stated
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Qualitative Analysis Lab Solubility Data Table Cations | Ag+ | Pb2+ | Cu2+ | Ni2+ | Ba2+ | NaCl | White ppt‚ AgCl(soluble in 12M HCl‚ soluble in sln of good complexing agent‚ 6M NH3) | White ppt‚ PbCl2(soluble in hot water‚ soluble in 12M HCl‚ soluble in sln of xs NaOH) | Soluble – no ppt | Soluble – no ppt | Soluble – no ppt | Na2CO3 | White ppt‚ Ag2CO3(soluble in 6M HCl‚ soluble in sln of good complexing agent) | White ppt‚ PbCO3(soluble in 6M HCl‚ soluble in sln of good complexing agent)
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RESIDENTS AND VOLUNTEERS: COMMUNITY RESPONSE IN DISASTER RECOVERY IN TOHOKU‚ JAPAN BY MARY CANDACE LEWIS‚ B.A. A thesis submitted to the Graduate School in partial fulfillment of the requirements for the degree Master of Arts Anthropology New Mexico State University Las Cruces‚ New Mexico August 2014 “Residents and Volunteers: Community Response in Disaster Recovery in Tohoku‚ Japan‚” a thesis prepared by Mary Candace Lewis in partial fulfillment of the requirements
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Introduction: This report‚ has the main aim of critically analysing two sediment samples (coarse sample taken from Clarach/ fine sample taken from Tan-y-Bwlch (6)) to identify any discrimination between their geological characteristics‚ the main characteristic being grain size‚ but shape‚ roundness and surface details are also important‚ as they can provide information to answer the wider question of what processes have occurred for the lithologies of the 2 sites to have been formed in the way that
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RE-INVENTING XYZ Financial Analysis Report Finance Team Prepared for: XYZ BPE Project XYZ Ministry of Government Services November‚ 1994 XYZ BPE Project Financial Analysis Report Table of Contents Executive Summary ...................................................................................................................................................................................1 Financial Model Review .........................................................................
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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FIITJEE Talent Reward Exam for student presently in Class 10 PAPER–1 Time: 3 Hours Maximum Marks: 214 Instructions: Caution: Question Paper CODE as given above MUST be correctly marked in the answer OMR sheet before attempting the paper. Wrong CODE or no CODE will give wrong results. 1. This Question Paper Consists of 7 Comprehension Passages based on Physics‚ Chemistry and Mathematics which has total 29 objective type questions. 2. All the Questions are Multiple Choice Questions having only
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Lesson 3: An introduction to data modeling 3.1 Introduction: The importance of conceptual models same: understand the problem before you start constructing a solution. There are two important things to keep in mind when learning about and doing data modeling: 1. Data modeling is first and foremost a tool for communication.Their is no single “right” model. Instead‚ a valuable model highlights tricky issues‚ allows users‚ designers‚ and implementors to discuss the issues using the same vocabulary
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