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    6.2.5 Statistical analysis The values are expressed as mean ± SEM. The statistical analysis was carried out by one-way analysis of variance using SPSS (version 17) statistical analysis program. Duncan’s post hoc multiple comparison tests were used to determine significant differences among groups. P < 0.05 was considered to be significant. 6.3 Results 6.3.1 Liver function tests Liver toxicity markers were assayed to assess hepatic injury. The activities of alkaline phosphatase (ALP)‚ acid phosphatase

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    6 Basic Statistical Tools

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    -------------------------------------------------------------------------------- 6 BASIC STATISTICAL TOOLS There are lies‚ damn lies‚ and statistics...... (Anon.) -------------------------------------------------------------------------------- 6.1 Introduction 6.2 Definitions 6.3 Basic Statistics 6.4 Statistical tests -------------------------------------------------------------------------------- 6.1 Introduction In the preceding chapters basic elements for the proper

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    Performance of Safety Incidents Statistical Analysis of Safety Incident Rates Table of Contents Introduction 3 Part I. Graphical Descriptive Statistics 3 Part II. Binomial Probability Distribution 4 Part III. Inferential Statistics 5 Part IV. One Sample Hypothesis T-test 5 Part V. Two Sample Hypothesis T-test 6 Part VI. Paired (matched) Observation – Two Populations Hypothesis 6 Part VII. Linear Regression and Correlation Study 7 Part VIII. ANOVA – One-Way Test of Variance 7 Part

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    Rayalaseema University

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    RAYALASEEMA UNIVERSITY KURNOOL – 518002 (A.P)‚ INDIA. DIRECTOR‚ RESEARCH STUDIES E-mail: directorresearch.ru@gmail.com CIRCULAR Sub: Rayalaseema University- Ph.D/M.Phil Part Time/ Extramural research Programmes – Postponement of Pre-Ph.D.‚ Examination‚ Jan‚ 2010 – Communication - Reg. ***** In view of the problem and agitations in AP the Pre-Ph.D. examinations scheduled on 9th & 10th January 2010 are postponed and will be conducted as per the schedule given below. S.No Paper Date & Time 1.

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    data-set‚ the results presented are discussed briefly and the most appropriate family of measures for the data-set identified. Organisation providing Data Source The University of Limerick was established in 1972 as the National Institute for Higher Education: Limerick‚ and achieved university classification in 1989. The university‚ now in its 40th year‚ provides graduate and postgraduate education to over eleven thousand students. Students are offered a wide range of modules‚ delivered by teaching

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    Project Proposal Statistical Learning and Data Mining Overview: Efficient asset allocation through statistical learning methods and comparison of methods for the creation of an index tracking ETF (Exchange traded fund) Datasets: The datasets are chosen from the website of the book “Statistics and Data Analysis for Financial Engineering” by David Ruppert. The book is mentioned as one of the references for this course. The two data sets chosen are 1. Stock_FX_Bond.csv 2. Stock_FX_Bond_2004_to_2006

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    Mat/206 week4

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    Mathematics Assignment 153. Explain the negative exponent rule and give an example. The main rule for a negative exponent is to always first make it into a positive before you start simplifying. For example y^-4+7=x The first thing you would do is write it as this 1/y^4+7=x Once this is completed you can then simplify. 154. How do you know if an exponential expression is simplified? You can tell if an exponential expression is simplified when it brought down to the lowest possible simplification

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    Tman 540 Midterm Exam

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    TMAN 625 Midterm Exam‚ Spring 2012 Name Question 1 2 3 4 5 6 7 8 9 10 Late Total Score 0 0 0 0 0 0 0 0 0 0 0 0 Week 1 2 2 3 3 3 4 4 5 5 TVOM‐qualitative Annual Annuity Annual Loan Loan Annuity stocks verses bonds Discounted Payback PW‚ FW‚ AW IRR independent ‐ cost only IRR mutually exclisive TMAN625 Midterm Exam‚ Summer 2012 Name Eric D. Choi Question 1 2 3 4 5 6 7 8 9 10 Late Total Score 0 0 0 0 0 0 0 0 0 0 0 0 Question 1 Score 0 Explain where or when

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    1. A statistics professor has just given a final examination in his statistical inference course. He is particularly interested in learning how his class of 40 students performed on this exam. The scores are shown below.             77        81        74        77        79        73        80        85        86        73 83        84        81        73        75        91        76        77        95        76 90        85        92        84        81        64        75        90       

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    Task1: Describe two basic types of inspection used in sampling for process control and explain two processes at your company that could benefits from each type of inspection. In you answer gives the example of variation expected from that process. Answer 1- There are two types of data inspection which are below: 1. Variable or continuous scale 2. Attribute or discrete scale 1. Variable or continuous data inspection: The variable data inspection is the type of inspection which varies

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