Basic Probability is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. The principles of probability help bridge the worlds of descriptive statistics and inferential statistics. Probability principles are the foundation for the probability distribution, the concept of mathematical expectation, and the binomial, Poisson, and hypergeometric distributions, topics. In this lecture you learn to: Basic probability concepts About conditional probability To use Bayes’ Theorem to revise probabilities Various counting rules In this file you will find: Basic Probability Lecture Power Point Presentation Test Bank with 171 different related questions with full answer description and explanation 65 Exercises related to the topic with all answers to them Defining and Collecting Data Reading Resources file in order to enhance Lecturer/Teacher/Student knowledge Once you will purchase this resource please leave a comment! All resources are compressed in zip file. You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH

Discrete Probability Distributions is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. This lecture introduces you to the concept and characteristics of probability distributions. Moreover, you will learn how the binomial, Poisson, and hypergeometric distributions can be applied to help solve business problems. A probability distribution for a discrete variable is a mutually exclusive list of all the possible numerical outcomes along with the probability of occurrence of each outcome. For more information look at the agenda of the lesson. In this lecture, you learn to: The properties of a probability distribution To compute the expected value and variance of a probability distribution To calculate the covariance and understand its use in finance To compute probabilities from binomial, hypergeometric, and Poisson distributions To use the binomial, hypergeometric, and Poisson distributions to solve business problems In this file you will find: Discrete Probability Distributions Lecture Power Point Presentation Test Bank with 171 different related questions with full answer description and explanation 65 Exercises related to the topic with all answers to them Defining and Collecting Data Reading Resources file in order to enhance Lecturer/Teacher/Student knowledge Once you will purchase this resource please leave a comment! All resources are compressed in zip file. You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH

Two-Sample Tests is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. In this lecture, you will learn how to extend hypothesis testing to two-sample tests that compare statistics from samples selected from two populations. Learning objectives: • How to use hypothesis testing for comparing the difference between – The means of two independent populations – The means of two related populations – The proportions of two independent populations – The variances of two independent populations • The impact sample size can have on statistical significance • How to classify the effect size of a difference • When it is appropriate to consider the effect size in addition to statistical significance In this File you will find: Two-Sample Tests Lecture Power Point Presentation Test Bank for Two-Sample Tests with 210 Questions with answers 69 Exercises for Two-Sample Tests Plus reading resource on Two-Sample Tests in order to enhance you overall knowledge about the topic. Once you will purchase this resource please leave a comment! All resources are compressed in zip file. You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH

A Roadmap for Analyzing Data is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Choosing appropriate statistical methods for your data is the single most important task you face and is at the heart of “doing statistics.” But this selection process is also the single most difficult thing you do when applying statistics! How, then, can you ensure that you have made an appropriate choice? By asking a series of questions, you can guide yourself to the appropriate choice of methods. Learning objectives: The questions to ask when choosing which statistical methods to use to conduct data analysis Rules for applying statistics in future studies and analyses This lecture discusses: How to choose the appropriate technique(s) for data analysis for both numerical and categorical variables Potential questions and the associated appropriate techniques for numerical variables Potential questions and the associated appropriate techniques for categorical variables In this File you will find: A Roadmap for Analyzing Data Lecture Power Point Presentation Test Bank for A Roadmap for Analyzing Data with 327 Questions with all answers to them 15 Exercises for A Roadmap for Analyzing Data seminar or lecture Plus reading resource on A Roadmap for Analyzing Data in order to enhance you overall knowledge about the topic. Once you will purchase this resource please leave a comment! All resources are compressed in zip file. You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH

Multivariable Functions is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): - Space Rn - Multivariable functions and their properties - Applications of multivariable functions In this File you will find: - 1 Multivariable Functions Lecture Power Point Presentation - 1 Seminar Plan - 21 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Derivative of Multivariable Functions is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): •Partial derivatives of multivariable functions •Rules of partial differentiation •Applications of partial derivatives In this File you will find: - 1 Derivative of Multivariable Functions Lecture Power Point Presentation 28 Slides - 1 Seminar Plan - 14 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Career Management is one of the topic which is covered during Human Resource Management Module lectures and seminars in order to enhance students’ knowledge. Key Covered Questions: 1.Meaning and objectives of CM 2.CM stages and activities 3.Strategy 4.Role of Manager In this File you will find: 1 Career Management Lecture Power Point Presentation 1 Seminar Plan with 4 different activities 1 Case Study All covered materials are taught for bachelor level students Level 5. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Qualitative research - its nature and approaches is one of the lecture which is cowered during marketing research module. The agenda for this lecture is: •Explain the difference between qualitative and quantitative research in terms of the objectives, sampling, data collection and analysis, and outcomes; •Describe why qualitative research is used in marketing research; •Understand the nature and application of ethnographic approcahes; •Understand how qualitative researchers develop knowledge through a grounded theory approaches; •Describe focus groups in detail, with an emphasis on planning and conducting focus groups; •Describe in-depth interview techniques in detail, citing their advantages, disadvantages and applications; •Describe the stages involved in analysing qualitative data. In the attached file, you will find: • 1 Qualitative research - its nature and approaches lecture power point presentation • 1 Tutorial Plan with several activities • 5 Case Studies This lecture is covered by bachelor students. Once purchased please leave comment.

Compensation Schemes, Incentives and Benefits is one of the topic which is covered during Human Resource Management Module lectures and seminars in order to enhance students’ knowledge. Key Covered Questions: 1.Traditional vs Contingent Pay 2.Types of Contingent Pay and Reasons for introducing 3.Challenges 4.SMART Goals 5.What are Benefits? Intangible/Flexible Benefits 6.Classification of Benefits 7.Practical Task 8.Key Factors and Communication of Benefits In this File you will find: 1 Compensation Schemes, Incentives and Benefits Lecture Power Point Presentation 1 Seminar Plan with 2 different activities 3 Reading files for Lecturer All covered materials are taught for bachelor level students Level 5. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Recruitment and Selection is one of the topic which is covered during Human Resource Management Module lectures and seminars in order to enhance students’ knowledge. Key Covered Questions: 1.What is Recruitment and what its stages/issues? 2.Hiring the Right Person. Sources of Recruitment 3.Recruitment Policy. Evaluation & Benchmarking 4.What is Selection and what are its methods? 5.Selection Process. Barriers to effective selection 6.Taylor-Russell Table. 7.Summary & Advice In this File you will find: 1 Recruitment and Selection Lecture Power Point Presentation 1 Seminar Plan 6 Seminar Exercises 3 Case Study 6 related Video clips All covered materials are taught for bachelor level students Level 5. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Introduction to Human Resource Management is a lecture which is covered during Human Resource Management module/course. The purpose of this Lecture explains what Human Resource Management is, and why it’s important to all managers. We’ll see that human resource management activities such as hiring, training, appraising, compensation, and developing employees are part of every manager’s job. We’ll see that human resource management is also a separate function. The main topics we’ll cover will include what is human resource management, the trends shaping human resource management, human resource management today, the new human resource manager. Learning Objectives: Explain what human resource management is and how it relates to the management process. Briefly discuss and illustrate each of the important trends influencing human resource management. List and briefly describe “distributed HR” and other important aspects of human management today. List at least four important human resource manager competencies. In this file you will find: 1 Introduction to Human Resource Management Lecture Power Point Presentation 1 Guide file how to conduct Lecture 1 File for Lecturer/Teacher/Student addition Reading about Introduction to Human Resource Management in order to enlarge personal knowledge 1 Test Bank with 110 different questions with full answer description and explanation 1 File with Exercises and all answers to them 2 Case Studies with all answers to them Once you will purchase this resource please leave a comment!

Analysis of Variance (ANOVA) is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Analysis of variance, known by the acronym ANOVA, allows statistical comparison among samples taken from many populations. While ANOVA literally does analyze variation, the purpose of ANOVA is to reach conclusions about possible differences among the means of each group, analogous to the hypothesis tests of the previous chapter. Every ANOVA design uses samples that represent each group and subdivides the total variation observed across all samples (all groups) toward the goal of analyzing possible differences among the means of each group. How this subdivision, called partitioning, works is a function of the design being used, but total variation, represented by the quantity sum of squares total (SST), will always be the starting point. As with other statistical methods, ANOVA requires making assumptions about the populations that the groups represent. Learning objectives: The basic concepts of experimental design How to use one-way analysis of variance to test for differences among the means of several groups When and how to use a randomized block design How to use two-way analysis of variance and interpret the interaction effect How to perform multiple comparisons in a one-way analysis of variance, a randomized block design, and a two-way analysis of variance In this File you will find: Analysis of Variance Lecture Power Point Presentation Test Bank for Analysis of Variance with 213 Questions with all answers to them 61 Exercises for Analysis of Variance lecture / seminar Plus reading resource on Analysis of Variance in order to enhance you overall knowledge about the topic. Once you will purchase this resource please leave a comment! All resources are compressed in zip file.

Performance Management is one of the topic which is covered during Human Resource Management Module lectures and seminars in order to enhance students’ knowledge. Key Covered Questions: 1.Performance Measurement 2.Functions of Performance Appraisal 3.Criteria for Effective Performance Appraisal Systems 4.Types of Performance to Measure 5.Performance Appraisal Methods 6.Performance Raters (Evaluators) and feedback 7.Case: GOOGLE’s approach In this File you will find: 1 Performance Management Lecture Power Point Presentation 1 Seminar Plan 4 Case Studies 3 Relevant videos 2 Reading files for Lecturer All covered materials are taught for bachelor level students Level 5. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Training and development is one of the topic which is covered during Human Resource Management Module lectures and seminars in order to enhance students’ knowledge. Key Covered Questions: 1.Meaning and objectives of training 2.Training needs identification 3.Types and Techniques of Training 4.Training Evaluation and Why Training fails? 5.Meaning of Talent and Talent Management? 6.Why Talent Management is important? 7.Talent Development Process and Measures In this File you will find: 1 Training and development Lecture Power Point Presentation 1 Case Study All covered materials are taught for bachelor level students Level 5. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Linear Programming is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge. During this Lecture and Seminar we are covering following subtopics (Agenda): •Graphing linear inequalities •Graphing systems of linear inequalities •Linear programming problems •Applications of linear programming In this File you will find: - 1 Linear Programming Lecture Power Point Presentation 23 Slides - 1 Seminar Plan - 14 Seminar Activities with full answer list for students All covered materials are taught for bachelor level students Level 3. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Statistical Process Control (Quality Control) is a lecture which is covered within the Operation Management Module which is covered by Bachelor and Master Level Students. In this lecture, we address statistical process control—the same techniques used at BetzDearborn, at Arnold Palmer Hospital, at GE, and at Southwest Airlines to achieve quality standards. Statistical process control (SPC) is the application of statistical techniques to ensure that processes meet standards. All processes are subject to a certain degree of variability. While studying process data in the 1920s, Walter Shewhart of Bell Laboratories made the distinction between the common (natural) and special (assignable) causes of variation. He developed a simple but powerful tool to separate the two—the control chart. Learning objectives: Explain the purpose of a control chart Explain the role of the central limit theorem in SPC Build x-charts and R-charts List the five steps involved in building control charts Build p-charts and c-charts Explain process capability and compute Cp and Cpk Explain acceptance sampling In this File you will find: Statistical Process Control (Quality Control) Lecture Power Point Presentation Detailed Statistical Process Control (Quality Control) Lesson Plan Statistical Process Control (Quality Control) Test Bank with answers (more than 100 Questions) 3 Case Studies for seminar with all answers to them Once you will purchase this resource please leave a comment! All resources are compressed in zip file. Don’t forget to follow my store to get notifications of new resources! You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code LOVETOTEACH during checkout process

Fundamentals of Hypothesis Testing: One-Sample Tests is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. In this lecture, you will learn several applications of hypothesis testing. You will learn how to make inferences about a population parameter by analyzing differences between the results observed, the sample statistic, and many more. Learning objectives: The basic principles of hypothesis testing How to use hypothesis testing to test a mean or proportion The assumptions of each hypothesis-testing procedure, how to evaluate them, and the consequences if they are seriously violated Pitfalls & ethical issues involved in hypothesis testing How to avoid the pitfalls involved in hypothesis testing In this File you will find: Fundamentals of Hypothesis Testing: One-Sample Tests Lecture Power Point Presentation Test Bank for Fundamentals of Hypothesis Testing: One-Sample Tests with 181 Questions with answers 78 Exercises for Fundamentals of Hypothesis Testing: One-Sample Tests Plus reading resource on Fundamentals of Hypothesis Testing: One-Sample Tests in order to enhance you overall knowledge about the topic. Once you will purchase this resource please leave a comment! All resources are compressed in zip file.

Creating and Managing Teams is a lecture which is covered during Management Module. This resource is suitable for bachelor and master level students who are studying in business department. Few trends have influenced how work gets done in organizations as much as the use of work teams. Organizations are increasingly structuring work around teams rather than individuals. Managers need to understand what influences team performance and satisfaction. Focus on the following learning objectives as you read and study this lecture. Learning Objectives of this lecture are: Define groups and the stages of group development. Describe the major components that determine group performance and satisfaction. Define teams and describe best practices influencing team performance. • Know how to maximize outcomes through effective negotiating. • Develop your skill at coaching team members. Discuss contemporary issues in managing teams. In this file you will find: Creating and Managing Teams Lecture Power Point Presentation 1 Lecture Note Guide 1 Test Bank with 130 different questions with full answer description and explanation 8 Interesting Discussion Questions and answers to them 4 Interesting Exercise related to the topic with all answers to them 1 Interesting Case Study with all answers to case study questions 1 additional reading resource file related to lecture topic in order to enhance Lecturer/Teacher/Student knowledge 1 Folder with relevant useful pictures Once you will purchase this resource please leave a comment! All resources are compressed in Zip File.

Layout and Flow is one of the topic which is covered during Operations Management lectures and seminars in order to enhance students knowledge. Key Covered Questions: - What is layout? - What are the basic layout types used in operations? - What type of layout should an operation choose? These are following learning outcomes in which you will be able: - to understand the layout. - to understand basic layout types. - to understand types of layout chosen by the operation. In this File you will find: - 1 Layout and Flow Lecture Power Point Presentation - 1 Seminar Plan - 2 Seminar Exercises - 3 Case Studies All covered materials are taught for bachelor level students Level 5. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.

Reward Management and Strategies is one of the topic which is covered during Human Resource Management Module lectures and seminars in order to enhance students’ knowledge. Key Covered Questions: 1.Why do we need Reward Management? 2.The Reward System and Total Reward 3.Legal Issues in Rewarding employees 4.Reward Policies 5.Equity theory and Exchange Scenarios 6.Agency Theory 7.Tournament Theory In this File you will find: 1 Reward Management and Strategies Lecture Power Point Presentation 1 Seminar Plan with 6 different activities 4 Case Studies 4 Reading files for Lecturer All covered materials are taught for bachelor level students Level 5. Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.