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

The Normal Distribution and Other Continuous is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. This lecture will help you learn about characteristics of continuous probability distributions and how to use the normal distribution to solve business problems. In this lecture, you learn to: To compute probabilities from the normal distribution How to use the normal distribution to solve business problems To use the normal probability plot to determine whether a set of data is approximately normally distributed To compute probabilities from the uniform distribution To compute probabilities from the exponential distribution In this file you will find: The Normal Distribution and Other Continuous Lecture Power Point Presentation The Normal Distribution and Other Continuous Test Bank with 178 different related questions with full answer description and explanation 53 Exercises related to the topic with all answers to them The Normal Distribution and Other Continuous 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

Sampling Distributions is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. In many applications, you want to make inferences that are based on statistics calculated from samples to estimate the values of population parameters. In this lecture, you will learn about how the sample mean (a statistic) is used to estimate the population mean (a parameter) and how the sample proportion (a statistic) is used to estimate the population proportion (a parameter). In this lecture, you learn to: The concept of the sampling distribution To compute probabilities related to the sample mean and the sample proportion The importance of the Central Limit Theorem In this file you will find: Sampling Distributions Lecture Power Point Presentation Sampling Distributions Test Bank with 129 different related questions with full answer description and explanation 29 Exercises related to the topic with all answers to them Sampling Distributions 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

Confidence Interval Estimation is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Suppose you want to estimate the mean GPA of all the students at your university. The mean GPA for all the students is an unknown population mean, denoted by u. You select a sample of students and compute the sample mean, denoted by X, to be 2.80. As a point estimate of the population mean, u, you ask how accurate is the 2.80 value as an estimate of the population mean, u? By considering the variability from sample to sample (see Section 7.2, concerning the sampling distribution of the mean), you can construct a confidence interval estimate for the population mean to answer this question. When you construct a confidence interval estimate, you indicate the confidence of correctly estimating the value of the population parameter, u. This allows you to say that there is a specified confidence that u is somewhere in the range of numbers defined by the interval. After studying this chapter, you might find that a 95% confidence interval for the mean GPA at your university is 2.75 < u < 2.85. You can interpret this interval estimate by stating that you are 95% confident that the mean GPA at your university is between 2.75 and 2.85. In this chapter, you learn to construct a confidence interval for both the population mean and population proportion. You also learn how to determine the sample size that is necessary to construct a confidence interval of a desired width. In this lecture, you learn to: To construct and interpret confidence interval estimates for the population mean and the population proportion To determine the sample size necessary to develop a confidence interval for the population mean or population proportion How to use confidence interval estimates in auditing When to use a finite population correction factor in calculating a confidence interval for either µ or π How to use a finite population correction factor in calculating a confidence interval for either µ or π How to use a finite population correction factor in calculating a sample size for a confidence interval for either µ or π The concept of bootstrapping and when it makes sense to use it. In this file you will find: Confidence Interval Estimation Lecture Power Point Presentation Confidence Interval Estimation Test Bank with 183 different related questions with full answer description and explanation 68 Exercises related to the topic with all answers to them Confidence Interval Estimation 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 counpon 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

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

Simple Linear Regression is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. This lecture discusses simple linear regression models that use a single numerical independent variable, X, to predict the numerical dependent variable, Y. In this lecture, you will learn regression analysis techniques that help uncover relationships between variables. regression analysis leads to selection of a model that expresses how one or more independent variables can be used to predict the value of another variable, called the dependent variable. regression models identify the type of mathematical relationship that exists between a dependent variable and an independent variable, thereby enabling you to quantify the effect that a change in the independent variable has on the dependent variable. Models also help you identify unusual values that may be outliers Learning objectives: How to use regression analysis to predict the value of a dependent variable based on a value of an independent variable The meaning of the regression coefficients b0 and b1 How to evaluate the assumptions of regression analysis and know what to do if the assumptions are violated To make inferences about the slope and correlation coefficient To estimate mean values and predict individual values In this File you will find: Simple Linear Regression Lecture Power Point Presentation Test Bank for Simple Linear Regression with 213 Questions with all answers to them 86 Exercises for Simple Linear Regression seminar or lecture Plus reading resource on Simple Linear Regression 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

Introduction to Multiple Regression is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. This lecture will introduce you to multiple regression models that use two or more independent variables to predict the value of a dependent variable. Learning objectives: • How to develop a multiple regression model • How to interpret the regression coefficients • How to determine which independent variables to include in the regression model • How to determine which independent variables are most important in predicting a dependent variable • How to use categorical independent variables in a regression model • How to predict a categorical dependent variable using logistic regression • How to identify individual observations that may be unduly influencing the multiple regression model In this File you will find: Introduction to Multiple Regression Lecture Power Point Presentation Test Bank for Introduction to Multiple Regression with 343 Questions with all answers to them 86 Exercises for Introduction to Multiple Regression Plus reading resource on Introduction to Multiple Regression 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 resources with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH

Sustainability and Supply Chain Management is a lecture which is covered within the Operation Management Module which is covered by Bachelor and Master Level Students. Managers must consider how the products and services they provide affect both people and the environment. Certainly, firms must provide products and services that are innovative and attractive to buyers. But today’s technologies allow consumers, communities, public interest groups, and regulators to be well informed about all aspects of an organization’s performance. As a result, stakeholders can have strong views about firms that fail to respect the environment or that engage in unethical conduct. Firms need to consider all the implications of a product—from design to disposal. Learning objectives: Describe corporate social responsibility Describe sustainability Explain the 3Rs for sustainability Calculate design for disassembly Explain the impact of sustainable regulations on operations In this File you will find: Sustainability and Supply Chain Management Lecture Power Point Presentation Detailed Sustainability and Supply Chain Management Lesson Plan Sustainability and Supply Chain Management Test Bank with answers (more than 100 Questions) 2 Case Studies with all Answers to them 19 Exercises with all answers for Seminar or Lecture Plus reading resource on Sustainability and Supply Chain Management 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 Don’t forget to follow my store to get notifications of new resources!

Forecasting Test Bank Forecasting in Operation Management plays a crucial role. That is why it is important for future business managers to have ability and skills which will help them to make at least approximate forecasting. This test bank on Forecasting will help you to assess knowledge of your students. Entire test is divided into 8 sections, overall there are more than 100 Questions with all answers to them. There are multiple choice questions, true/false questions, some questions with calculations. This test bank on Forecasting divided as following: Section 1 - What is Forecasting? (17 Questions) Section 2 - The Strategic Importance of Forecasting (1 Question) Section 3 - Seven Steps in the Forecasting System (5 Questions) Section 4 - Forecasting Approaches (16 Questions) Section 5 - Time-Series Forecasting (76 Questions) Section 6 - Associative Forecasting Methods: Regression and Correlation Analysis (14 Questions) Section 7 - Monitoring and Controlling Forecasts (10 Questions) Section 8 - Forecasting in the Service Sector (2 Questions) 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 during checkout process: LOVETOTEACH

Design of Goods and Services Test Bank Design of Goods and Services in Operation Management plays a crucial role. That is why it is important for future product or service managers to have proper knowledge and skills which will help them to generate new products and services. This test bank on Design of Goods and Services will help you to assess knowledge of your students. Entire test is divided into 10 sections, overall there are more than 100 Questions with all answers to them. There are multiple choice questions, true/false questions, some questions with calculations. This test bank on Forecasting divided as following: Section 1 - Goods and Services Selection (25 Questions) Section 2 - Generating New Products (6 Questions) Section 3 - Product Development (13 Questions) Section 4 - Issues for Product Design (19 Questions) Section 5 - Product Development Continuum (9 Questions) Section 6 - Defining a Product (10 Questions) Section 7 - Documents for Production (14 Questions) Section 8 - Service Design (12 Questions) Section 9 - Application of Decision Trees to Product Design (12 Questions) Section 10 - Transition to Production (1 Questions) 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 Don’t forget to follow my store to get notifications of new resources!

Design of Goods and Services is a lecture which is covered within the Operation Management Module which is covered by Bachelor and Master Level Students. Learning objectives: Define product life cycle Describe a product development system Build a house of quality Explain how time-based competition is implemented by OM Describe how goods and services are defined by OM Describe the documents needed for production Explain how the customer participates in the design and delivery of services Apply decision trees to product issues In this File you will find: Design of Goods and Services Lecture Power Point Presentation Detailed Design of Goods and Services Lesson Plan Design of Goods and Services Test Bank with answers (more than 100 Questions) 2 Case Studies with all Answers to them and plus 2 videos 18 Discussion Questions for Seminar with Answers 27 Exercises with all answers for Seminar or Lecture Plus reading resource on Design of Goods and Services 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 Don’t forget to follow my store to get notifications of new resources!

Operations and Productivity is a lecture which is covered within the Operation Management Module which is covered by Bachelor and Master Level Students. Operations managers throughout the world are producing products every day to provide for the well-being of society. These products take on a multitude of forms. They may be washing machines at Whirlpool, motion pictures at Dream Works, rides at Disney World, or food at Hard Rock Cafe. These firms produce thousands of complex products every day — to be delivered as the customer ordered them, when the customer wants them, and where the customer wants them. Learning objectives: Define operations management Explain the distinction between goods and services Explain the difference between production and productivity Compute single-factor productivity Compute multifactor productivity Identify the critical variables in enhancing productivity In this File you will find: Operations and Productivity Lecture Power Point Presentation 3 Case Studies with all Answers to them 14 Discussion Questions for Seminar with Answers 17 Exercises with all answers for Seminar or Lecture Plus reading resource on Operations and Productivity 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

Operations Strategy in a Global Environment is a lecture which is covered within the Operation Management Module which is covered by Bachelor and Master Level Students. Today’s successful operations manager has a global view of operations strategy. Since the early 1990s, nearly 3 billion people in developing countries have overcome the cultural, religious, ethnic, and political barriers that constrain productivity. And now they are all players on the global economic stage. As these barriers disappear, simultaneous advances are being made in technology, reliable shipping, and inexpensive communication. These changes mean that, increasingly, firms find their customers and suppliers located around the world. Learning objectives: Define mission and strategy Identify and explain three strategic approaches to competitive advantage Understand the significant key success factors and core competencies Use factor rating to evaluate both country and provider outsources Identify and explain four global operations strategy options In this File you will find: Operations Strategy in a Global Environment Lecture Power Point Presentation Detailed Lesson Plan Operations Strategy in a Global Environment Test Bank with answers 4 Case Studies and Videos to them with all Answers to them 18 Discussion Questions for Seminar with Answers 13 Exercises with all answers for Seminar or Lecture Plus reading resource on Operations Strategy in a Global Environment 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

Multiple Regression Model Building is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. This lecture discusses multiple regression models with two independent variables. Moreover, this lecture considers regression models that contain more than two independent variables. Also lecture discusses model-building concepts that will help to develop the best model when confronted with a set of data that has many independent variables, such as the data to be collected at WSTA-TV. These concepts include quadratic independent variables, transformations of the dependent or independent variables, stepwise regression, and best-subsets regression. Learning objectives: To use quadratic terms in a regression model To use transformed variables in a regression model To measure the correlation among the independent variables To build a regression model using either the stepwise or best-subsets approach To avoid the pitfalls involved in developing a multiple regression model In this lecture we discussed: The quadratic regression model Using transformations in regression models - The multiplicative model - The exponential model Collinearity Model building - Stepwise regression - Best subsets The pitfalls & ethical considerations in multiple regression In this File you will find: Multiple Regression Model Building Lecture Power Point Presentation Test Bank for Multiple Regression Model Building with 96 Questions with all answers to them 39 Exercises for Multiple Regression Model Building seminar or lecture Plus reading resource on Multiple Regression Model Building 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

Time-Series Forecasting is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. A time series is a set of numerical data collected over time. Due to differences in the features of data for various investments described in the Using Statistics scenario, you need to consider several different approaches for forecasting time-series data. This lecture begins with an introduction to the importance of business forecasting and a description of the components of time-series models. The coverage of forecasting models begins with annual time-series data. First section presents moving averages and exponential smoothing methods for smoothing a series. This is followed by least-squares trend fitting and forecasting in the next section and autoregressive modeling in the following section. After lecture discusses how to choose among alternative forecasting models. Finally lecture develops models for monthly and quarterly time series. Learning objectives: To construct different time-series forecasting models: moving averages, exponential smoothing, linear trend, quadratic trend, exponential trend, autoregressive models, and least squares models for seasonal data To choose the most appropriate time-series forecasting model In this lecture we discussed: The importance of forecasting The component factors of the time-series model The smoothing of data series Moving averages Exponential smoothing Least square trend fitting and forecasting Linear, quadratic and exponential models Autoregressive models A procedure for choosing appropriate models Time-series forecasting of monthly or quarterly data by using dummy variables Pitfalls concerning time-series analysis In this File you will find: Time-Series Forecasting Lecture Power Point Presentation Test Bank for Time-Series Forecasting with 170 Questions with all answers to them 64 Exercises for Time-Series Forecasting seminar or lecture Plus reading resource on Time-Series Forecasting 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

Business Analytics is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students. Descriptive analytics, predictive analytics, and prescriptive analytics form the three broad categories of analytic methods. Descriptive analytics explores business activities that have occurred or are occurring in the present moment. Predictive analytics identifies what is likely to occur in the (near) future and finds relationships in data that may not be readily apparent using descriptive analytics. Prescriptive analytics investigates what should occur and prescribes the best course of action for the future. Predictive and prescriptive analytics make practical the use of big data to support decision making, although many of these techniques also work with smaller sets of data, as examples in this chapter demonstrate. This lecture begins with descriptive analytics but focuses on predictive analytics. The lecture does not cover prescriptive analytics methods. Learning objectives: To develop dashboard elements such as sparklines, gauges, bullet graphs, and tree-maps for descriptive analytics How to use classification and regression trees for predictive analytics How to use neural nets for predictive analytics How to use cluster analysis for predictive analytics How to use multidimensional scaling for predictive analytics In this File you will find: Business Analytics Lecture Power Point Presentation Test Bank for Business Analytics with 112 Questions with all answers to them 59 Exercises for Business Analytics seminar or lecture Plus reading resource on Business Analytics 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

Forecasting is a lecture which is covered within the Operation Management Module which is covered by Bachelor and Master Level Students. In this lecture, we examine different types of forecasts and present a variety of forecasting models. Our purpose is to show that there are many ways for managers to forecast. We also provide an overview of business sales forecasting and describe how to prepare, monitor, and judge the accuracy of a forecast. Good forecasts are an essential part of efficient service and manufacturing operations. Learning objectives: Understand the three time horizons and which models apply for each Explain when to use each of the four qualitative models Apply the naive, moving-average, exponential smoothing, and trend methods Compute three measures of forecast accuracy Develop seasonal indices Conduct a regression and correlation analysis Use a tracking signal In this File you will find: Forecasting Lecture Power Point Presentation Detailed Project Management Lesson Plan Forecasting Test Bank with answers (more than 100 Questions) 3 Case Studies with all Answers to them 22 Discussion Questions for Seminar with Answers 60 Exercises with all answers for Seminar or Lecture Plus reading resource on Project Management 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. Don’t forget to subscribe in order 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 during checkout process: LOVETOTEACH

Project Management is a lecture which is covered within the Operation Management Module which is covered by Bachelor and Master Level Students. Project management one of the crucial topics in the operation management module. Project management is important for future managers and must to be covered by business students. Learning objectives: Use a Gantt chart for scheduling Draw AOA and AON networks Complete forward and backward passes for a project Determine a critical path Calculate the variance of activity times Crash a project In this File you will find: Project Management Lecture Power Point Presentation Detailed Project Management Lesson Plan Project Management Test Bank with answers 4 Case Studies and Videos to them with all Answers to them 18 Discussion Questions for Seminar with Answers 13 Exercises with all answers for Seminar or Lecture Plus reading resource on Project Management 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