Why do criminals commit another offence after being punished? Our world is full of different kinds of criminal people. The main question what stand before the present community is: Why so often laws are broken by citizens? Every person who behave so‚ has his/her own purposes and causes. It is rational to hope that after punishing person will never commit the crime. That he understood all his mistakes which were made in the past. However‚ frequently it is not so. Why do criminals prefer to go
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Constitutional Principles on the Rights of the Child • Article 38B of the Constitution provides for a very important principle regarding children - the best interest of the child is to be the primary consideration in relation to all matters involving children. So your best interests are what is to be the guide for your upbringing and development. • Article 38C of the Constitution also provides that where a child is to be adopted‚ the best interest of the child must be taken into
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Compoundable and Non Compoundable Offences - Some offences largely affect only the victim and no considerable harm is considered to be done to the society. In such offences‚ if the offender and victim compromise‚ there is no need to waste court’s time in conducting a trial. The process of reaching a compromise is called Compounding. Conceptually‚ such offences‚ in which a compromise can be done and a trial can be avoided‚ are called Compoundable offence. Rest of the offences are non-compoundable
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QM2 Project Case Study 1- Consumer Characteristics Index Sno Title Page.no 0 | Introduction | 3 | 1 | Summarizing data using Descriptive Statistics | 4-6 | 2 2.1 2.2 | Estimated regression equations. Independent Variable- Annual Income. Independent Variable- Household Size | 7 8 9 | 3 | Better predictor of annual credit card charges | 10 | 4 | Independent variables- Annual income and Household size | 11 |
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regression models per instructions given below; data for theseDefinitions of the different variables in the data are provided in the case itself. Briefly discuss the summary statistics presented in Exhibit 3 in Store24A and Exhibit 2 in Store24B. Use a maximum of 2 slides for this discussion. In your opinion‚ what do the summary statistics tell us about Store24? Doucette wants to decide whether or not to put an employee retention program in place. But first‚ he wants Sarah Jenkins to check whether
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PROJECT PART B: Hypothesis Testing and Confidence Intervals Math 533 Applied managerial Statistics. Instructor: Mr. Patrick Mayers. April 12‚ 2015 Guillermo H. Quintela. a. The average (mean) sales per week exceeds 41.5 per salesperson. The Null Hypothesis: The average (mean) sales per week is greater than or equal to 41.5 per salesperson. Ho:µ >= 41.5 The alternate Hypothesis: The average (mean) sales per week is less than or equal than 41.5 per salesperson. Ha:µ < 41.5 For a significance
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Room 3 Discussion subject(s): Summary Statistics T-test One-way ANOVA Contents Introduction 3 Introductory information 3 Summary Statistics 3 Basic Definitions 3 T-test 5 Independent samples t test 5 SPSS Steps 5 One-way ANOVA 6 SPSS Steps 6 Introduction This document focuses specifically on Block/Week 1. The following topics will be covered: Introductory information Summary Statistics T-test One-way ANOVA Introductory information Required readings: IBM SPSS Statistics 23 Manuals: Brief Guide1 Refer
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recommendations to the Charlotte Bobcats management to solve their attendance dilemma. Data Analysis‚ Interpretation‚ and Conclusion‚ Part IV Team D organized the home-game attendance records and players’ statistics into sortable format for analysis. During the analysis process‚ the players’ statistics were deemed irrelevant to the objective of the research. The player attendance and winning records were expanded to six years of data to obtain larger population than the one-year numbers collected in
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Your license will expire in 14 days. Your temporary usage period for IBM SPSS Statistics will expire in 14 days. NEW FILE. DATASET NAME DataSet1 WINDOW=FRONT. GET DATA /TYPE=XLSX /FILE=’C:\Users\Sarah73\Desktop\Holmes\Statistic\DATA for Assignment 02.xlsx’ /SHEET=name ’Sheet1’ /CELLRANGE=full /READNAMES=on /ASSUMEDSTRWIDTH=32767. EXECUTE. DATASET NAME DataSet2 WINDOW=FRONT. SAVE OUTFILE=’C:\Users\Sarah73\Desktop\Untitled3.sav’ /COMPRESSED. FREQUENCIES VARIABLES=HI001FINALEXAM HI001ASSIGNMENT01
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In my thesis‚ I will analyze three websites on obesity statistics in the United States. The analysis of each website will contain how they function as sources‚ their strengths and weakness. The first source on obesity statistics is from the National Conference of State Legislatures (NCSL). This website is for policymakers to give them access to research‚ technical assistance and opportunities to exchange ideas on state issues. This information captures the basic overview where obesity occurred in
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