Descriptive output of careere management and succession planning

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Basic Data Analysis Using SPSS log on: www.alukosayoenoch.wix.com or www.unilag.academia.edu/SayoAluko/Papers This workshop will provide an overview of the statistical test choices, variable creation and transformation, and output interpretation using SPSS. Hands-on lab exercises will demonstrate how to execute basic data transformations and analyses using SPSS. Descriptive statistics, chi-square, means comparisons (t-test and one-way ANOVA) and correlations will be covered. We will spend about one hour covering basic information about SPSS and getting ready for data entry in a lecture format and two hours in the computer lab with hands-on exercises in using SPSS.

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Descriptive output of careere management and succession planning

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 * Presentation – Complete video for teachers and learners on Similarity  * GSCE, IGCSE, IB, PSAT, and AISL - Exam Style Questions which covers all the related concepts required for students to unravel any International Exam Style Similarity Questions  * Learner will be able to say authoritatively that:  I can apply similarity to model a real life situation and the various field of study: Engineering, Art and Design, Construction, etc..  I can solve any given question on Combined Similarity: Volume, Area, Standard Dimensions…  I can find the scale factor given any object or image parameter  I can use a given scale model to find unknown parameter of any similar shape and also apply the concepts in all field of studies: Construction, Cryptographer, Actuary, Astronomy, Physical Science, Biological Science, Astrophysics, etc….

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 * Presentation – Complete video for teachers and learners on Vectors  * IGCSE Practice Revision Exercise which covers all the related concepts required for students to unravel any IGCSE Exam Style Transformation Questions  * Learner will be able to say authoritatively that:  I can solve any given question on Position Vectors  I can solve any given question on Column Vectors  I can solve any given question on Component Form of Vectors  I can solve any given question on Collinear and Equal Vectors  Vector quantities have two characteristics, a magnitude and a direction. Scalar quantities have only a magnitude. When comparing two vector quantities of the same type, you have to compare both the magnitude and the direction.

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 * GSCE, IGCSE, IB, PSAT, and AISL - Exam Style Questions which covers all the related concepts required for students to unravel any International Exam Style Approximation and Estimation Questions [Upper and Lower Bound]  * Learner will be able to say authoritatively that:  I can solve any given Rounding Questions: Estimate numbers using rounding, decimal places and significant figures. ...To estimate means to make a rough guess or calculation. To round means to simplify a known number by scaling it slightly up or down. Rounding is a type of estimating. Both methods can help you make educated approximations and can be used in everyday life for tasks related to money, time or distance.  While accurate estimates are the basis of sound project planning, there are many techniques used as project management best practices in estimation as - Analogous estimation, Parametric estimation, Delphi method, 3 Point Estimate, Expert Judgement, Published Data Estimates, Vendor Bid Analysis, Reserve Analysis, Bottom  I understand and can apply Upper and Lower Bound concepts in all fields of studies:  Upper and lower bounds are useful to find best case running time and worst case running time of an algorithm. In general lower bound means the best case running time and upper bound means the worst case running time…

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 * GSCE, IGCSE, IB, PSAT, and AISL - Exam Style Questions which covers all the related concepts required for students to unravel any International Exam Style Set Theory Questions  * Learner will be able to say authoritatively that:  I can solve any given Set Theory Questions involving:  Set Use of Language  Set Notations and Venn Diagram to describe Sets  Venn Diagrams are used in Mathematics to divide all possible number types into groups. They are also used in Mathematics to see what groups of numbers have things in common. Venn Diagrams can even be used to analyse music. We can analyse the characters in TV shows like “The Muppets” with a Venn Diagram  I understand and can apply Set Theory concepts in all fields of studies:  The general public applies arithmetic in grocery shopping, financial mathematics is applied in commerce and economics, statistics is used in many fields (e.g., marketing and experimental sciences), number theory is used in information technology and cryptography, surveyors apply trigonometry, operations research.

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The purpose of the reading module is to prepare yourself to deal with the amount of reading you will be encountered at university or college. The reading component does not try to measure how well you understand everything in a reading passage. It actually tests how well you will be able to move about a reading passage to locate the information you are looking for. This means that you will need to have the skills required to focus on the information that is important to you and to skim through the information that isn’t. The IELTS examination tests your ability to read approximately 2750 words in a fairly short period of time in order to find out certain information. In both the Academic and the General training modules, you are given 60 minutes to answer a total of 40 questions and each questions and each question carries 1 mark. No extra time is given to transfer answers to the answer sheet.

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Abstract At both the junior and senior secondary school levels in Nigeria, student performance in mathematics examinations has been poor. Within the context of large classes, with inadequate facilities, and teaching and learning in a second language, algebra and algebra word problems are introduced to students during their first year of junior secondary school. The transition from primary school arithmetic to the use of the algebraic letter is challenging to students and it is important that teachers should know the likely difficulties and misconceptions students may have as they begin algebra

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Descriptive abstracts A descriptive abstract indicates the type of information found in the work. It makes no judgements about the work, nor does it provide results or conclusions of the research. It does incorporate key words found in the text and may include the purpose, methods, and scope of the research. Essentially, the descriptive abstract describes the work being abstracted. Some people consider it an outline of the work, rather than a summary. Descriptive abstracts are usually very short—100 words or less

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This quantitative research aims to determine the relationship between succession planning and career development and to create awareness on both matter. The result also shows that the career development program is effective if there is support from the top management, a system to manage the human resource, more recruitment, more training program and more promotion exercise for all excellent officers. Implications of the findings, suggestions for future studies and recommendations for positive actions to be taken by government were also suggested

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This workshop will provide an overview of the statistical test choices, variable creation and transformation, and output interpretation using SPSS. Hands-on lab exercises will demonstrate how to execute basic data transformations and analyses using SPSS. Descriptive statistics, chi-square, means comparisons (t-test and one-way ANOVA) and correlations will be covered. We will spend about one hour covering basic information about SPSS and getting ready for data entry in a lecture format and two hours in the computer lab with hands-on exercises in using SPSS. Topics: Preparing your data (lecture) Creating a codebook – variables, names, labels, missing values Entering data in SPSS (lecture and lab exercises) Using SPSS and importing from EXCEL Modifying and organizing your data (lab exercises) Compute, recode, and count transformations Descriptive statistics (lab exercises) Frequencies, descriptives, and simple graphs Statistics for single dependent variables (lab exercises) Chi square Correlation T-Test One Way ANOVA

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