2.1 Explain the need for keeping records and describe the records that you would keep. As a teacher my responsibility is to teach‚ guide and assess my learners. Recording results is a vital part of the teacher’s role. From an ‘internal’ sense accurate records that are taken throughout a course enable the teacher and learner to continually assess the effectiveness of the teacher and learner relationship. Records indicate whether pupils are learning what they are being taught and their progression
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question incorrectly. The lecturer for this module is Mr Danie Theron. His contact details are as follows: Office: AJH 3-11 Tel: 012 429 8303 Fax: 086 641 5164 E-mail: marketing@unisa.ac.za Please note that you should only contact the lecturer if you have academic enquiries (that is‚ enquires about the content of the module). The marketing department can be contacted at 012 429 8303. Administrative enquiries concerning fees‚ receipt of assignments‚ exam dates‚ et cetera should be directed to the relevant
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Part 1 1. Write a script which will Create the needed tables as follows: a. Table name : DEPT i. Column datatype Mandatory? PK? FK? Deptno NUMBER(2) Yes Yes dname VARCHAR2(30) Yes No loc VARCHAR2(20) No No Ans: CREATE TABLE dept (deptno NUMBER(2) NOT NULL‚ dname VARCHAR2(30) NOT NULL‚ loc VARCHAR2(20)
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LEGT 1710 BUSINESS AND THE LAW Lecture 11 Consumer Protection This week Consumer Protection • Consumer Law - the statutory provisions: Unconscionable conduct Misleading or deceptive conduct False representations • Defences • Remedies • No refunds © 2013 The University of New South Wales Sydney 2052 Australia The original material prepared for this guide is copyright. Apart from fair dealing for the purposes of private study‚ research‚ criticism or review‚ as permitted under the Copyright
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Kd – Distribution Coefficient Name: Stephanie Leath Date of Experiment: 10-7-2008‚ 10-14-08 TA’s Name: Gayan Senavirathne Lab Section: 012 Lab Partner’s Name: Eno Latifi Single Extraction was performed by: Stephanie Leath Fill in the blanks from data of the single extraction. 1.
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FIELD RESEARCH PROJECT MASTER OF GLOBAL BUSINESS (MGB) Music Tourism in Singapore Submitted By:Namha Malhotra MGB12CMM081 Neha Ahuja MGB12CMM084 Mentor :Ms. Irina Pismennaya S P JAIN SCHOOL OF GLOBAL MANAGEMENT SINGAPORE Field Research Project On Factors affecting Music Tourism Submitted in partial fulfilment of the requirement of Masters in Global Business (MGB) Marketing Management Specialization SEMESTER 1 PERIOD OF STUDY – NOV’12 to Apr’13 Submitted by: Neha Ahuja
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NABARD (National Bank for Agriculture and Rural Development) Introduction • NABARD is an apex institution accredited with all matters concerning policy‚ planning and operations in the field of credit for agriculture and other economic activities in rural areas. • It is an apex refinancing agency for the institutions providing investment and production credit for promoting the various developmental activities in rural areas • It takes measures towards institution building for improving absorptive
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COM3706/101/3/2013 Tutorial letter 101/3/2013 Communication Research COM3706 Semesters 1 & 2 Department of Communication Science IMPORTANT INFORMATION: This tutorial letter contains important information about your module. CONTENTS PAGE 1 2 2.1 2.2 3 3.1 3.2 3.3 3.4 3.4.1 3.5 4 4.1 4.2 4.3 4.4 4.5 4.6 4.6.1 4.6.2 4.7 5 5.1 5.2 5.3 5.4 6 7 8 8.1 8.2 8.3 8.4 8.4.1 8.5 8.6 8.6.1 8.6.2 8.6.3 8.6.4 8.6.5 8.6.6 8.6.7 8.6.8 8.6.9 INTRODUCTION PURPOSE AND OUTCOMES OF THE MODULE Purpose Outcomes
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SPSS HW#7 Question #1 Model Summaryb | Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Dimension0 | 1 | .351a | .123 | -.169 | 3.9429207 | a. Predictors: (Constant)‚ x | b. Dependent Variable: y | ANOVAb | Model | Sum of Squares | df | Mean Square | F | Sig. | 1 | Regression | 6.560 | 1 | 6.560 | .422 | .562a | | Residual | 46.640 | 3 | 15.547 | | | | Total | 53.200 | 4 | | | | a. Predictors: (Constant)‚ x | b. Dependent Variable: y | Coefficientsa
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Chapter 8 Problem 6 The following are the historic returns for the Chelle Computer Company: Year Chelle Computer General Index Year chelle computer general index 1 37 15 2 9 13 3 -11 14 4 8 -9 5 11 12 6 4 9 Based on this information‚ compute the following: a. The correlation coefficient between Chelle Computer and the General Index. Answer : r= .1305 b. The standard deviation for the company and the index
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