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How to draw a CPM network diagram (4:14) 

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How to draw a CPM network diagram (4:14) 

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by Engineer4Free

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by Joshua Emmanuel

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Project Scheduling - PERT/CPM | Finding Critical Path

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Is the measure of the strength of evidence against the null hypothesis.
P-value is called the observed level of significance.

The p-value is the smallest value of α for which H0 can be rejected.
The smaller the P-value the stronger the evidence against H0

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α indicates the level of significance

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Video "Alternative to random samples" (4:42)

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Video "Alternative to random samples" (4:42)

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(Davila, 2016)

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Course details

Statistics are a core skill for many careers. Basic stats are critical for making decisions, new discoveries, investments, and even predictions. But sometimes you need to move beyond the basics. Statistics Fundamentals - Part 2 takes business users and data science mavens into practical, example-based learning of the intermediate skills associated with statistics: samples and sampling, confidence intervals, and hypothesis testing.

Eddie Davila first provides a bridge from Part 1, reviewing introductory concepts such as data and probability, and then moves into the topics of sampling, random samples, sample sizes, sampling error and trustworthiness, the central unit theorem, t-distribution, confidence intervals (including explaining unexpected outcomes), and hypothesis testing. This course is a must for those working in data science, business, and business analytics-or anyone else who wants to go beyond means and medians and gain a deeper understanding of how statistics work in the real world.

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89,900 people watched this course

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Student, Research Fellow, University Professor, and Software Developer

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Statistics Foundations: 2 - Alternative to random samples

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Statistics are a core skill for many careers. Basic stats are critical for making decisions, new discoveries, investments, and even predictions. But sometimes you need to move beyond the basics. Statistics Fundamentals - Part 2 takes business users and data science mavens into practical, example-based learning of the intermediate skills associated with statistics: samples and sampling, confidence intervals, and hypothesis testing.

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POPULATION - Group of people, communities, or organizations studied. Includes all possible objects of study.

SAMPLE - Part of the population. Reduced down to manageable size. Ideally, we would want to draw a sample that is representative of the population in terms of certain key characteristics (for example, gender and age).

SAMPLING FRAME - List of people/organizations etc. in the population who can be chosen for participation in the study. Most sampling frames do not include all people in the population (example – phone book). i.e. The FRAME is a complete or partial listing of the items that make up the population from which the sample will be selected.

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Video "Sampling in data collection" (4:50)

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Video "Sampling in data collection" (4:50)

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(Chua, 2017)

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Course details

Six Sigma is a customer-focused, data-driven methodology that is widely used to analyze and improve the performance of processes, products, and services. In this course, get the training you need to become a Six Sigma Green Belt. Green Belts participate in-or lead-Six Sigma projects on a part-time basis under the guidance of a Black Belt. Operational excellence expert, master Black Belt trainer, and professor Dr. Richard Chua explains how to use Six Sigma and its process, quality, and statistical tools as he prepares you to become a Six Sigma Green Belt.

Note: Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.

Instructor

Richard Chua

Author, MBB Trainer, Consultant and Professor at The Jack Welch Management Institute

Dr. Richard Chua is a consultant, author, professor, and certified Lean Six Sigma Master Black Belt trainer.

For the last 25 years, Dr. Chua has trained thousands of executives, managers, and project leaders in Fortune 500 and multinational companies to become Champions and Yellow, Green, Black, and Master Black Belts in the deployment of Six Sigma and Lean Six Sigma. Dr. Chua's successes have been published as cover stories in magazines such as the American Society for Quality's Six Sigma Forum Magazine, where he co-authored an article with the CEO of Samsung Electronics, and in Quality Progress with the operations executive at Genentech. In addition to his consulting practice, Dr. Chua is lead professor of operations management in the Jack Welch Management Institute. He holds a PhD in business administration from the University of Minnesota, and a BS in industrial engineering (BSIE) with distinction from Purdue University.
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172,794 people watched this course

What they do

Research Fellow, Student, Project Manager, Engineer, and Quality Assurance Tester

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Six Sigma: Green Belt - Sampling in data collection

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Six Sigma is a customer-focused, data-driven methodology that is widely used to analyze and improve the performance of processes, products, and services. In this course, get the training you need to become a Six Sigma Green Belt. Green Belts participate in-or lead-Six Sigma projects on a part-time basis under the guidance of a Black Belt.

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Video "Hypothesis testing basics" (6:00)

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Video "Hypothesis testing basics" (6:00)

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(Chua, 2017)

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Six Sigma: Green Belt - Hypothesis testing basics

# data[].attributes.attachment_link.description
Six Sigma is a customer-focused, data-driven methodology that is widely used to analyze and improve the performance of processes, products, and services. In this course, get the training you need to become a Six Sigma Green Belt. Green Belts participate in-or lead-Six Sigma projects on a part-time basis under the guidance of a Black Belt.

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(McCombes, 2019)

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"Understanding different sampling methods" (McCombes, 2019)

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"Understanding different sampling methods" (McCombes, 2019)

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Sampling Methods | Types, Techniques & Examples

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When you conduct research about a group of people, it’s rarely possible to collect data from every person in that group. Instead, you select a sample. The

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NON-PROBABILITY Samples

Judgment sample

Convenience sample (or opportunity sample)

PROBABILITY Samples

Simple Random sample - In a simple random sample, every item from a frame has the same chance of selection as every other item, and every sample of a fixed size has the same chance of selection as every other sample of that size.

Systematic sample - In a systematic sample, you partition the N items in the frame into n groups of k items.

Stratified Random sample - In a stratified sample, you first subdivide the N items in the frame into separate subpopulations, or strata. A stratum is defined by some common characteristic, such as gender or year in school. (HOMOGENEOUS)

Cluster sample - In a cluster sample, you divide the N items in the frame into clusters that contain several items. Clusters are often naturally occurring groups, such as counties, election districts, city blocks, households, or sales territories. (HETEROGENEOUS)

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Video "Estimating costs and time" (7:41m)

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Video "Estimating costs and time" (7:41m)

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(LinkedIn Learning, 2014)

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Course details

Almost everything you do in the workplace is a project, from the smallest task to the largest endeavor. All of this work can benefit from some simple project-management techniques. In this course, management trainer Chris Croft outlines the twelve steps to managing projects without creating a lot of extra overhead, and shows how to use traditional PM tools-such as Gantt charts and network diagrams-to help you manage your workload.

Instructor

Chris Croft

★ Writer and Keynote Speaker, Project Management and Time Management, Negotiation Skills ~ UK-based

Lecturer turned thought leader Chris Croft has trained 80,000+ people in project management and leadership.Chris has also provided instruction on time management and negotiation, and has trained six million people on Lynda.com and LinkedIn Learning. He comes from an operations background, having earned an engineering degree from Cambridge, qualified as a chartered engineer, and worked as a senior manager in manufacturing for 10 years. He earned an MBA and worked as a university lecturer at Bournemouth University Business School for four years before starting his own training company in 1992. Since then, he has been in constant demand as a speaker, and his free email tips are sent to over 20,000 people.His website, www.chriscroft.co.uk, offers a free email tip of the month, a wide-ranging and unusual blog, and free instant guides. Chris has also created numerous free iPhone and Android apps, notably his Jobs To Do app and his Daily Happiness Tips app.His book Time Management is available from Amazon and most bookshops. He has 11 other instant guide mini-books at www.lulu.com and on the Amazon Kindle Store, and recently published The Big Book of Happiness for the Kindle, as well as the rather eccentric Management Vegetables.
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144,479 people watched this course

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Project Manager, Information Technology Consultant, University Professor, and Student

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Project Management Simplified - Estimating costs and time

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Almost everything you do in the workplace is a project, from the smallest task to the largest endeavor. All of this work can benefit from some simple project-management techniques. In this course, management trainer Chris Croft outlines the twelve steps to managing projects without creating a lot of extra overhead, and shows how to use traditional PM tools-such as Gantt charts and network diagrams-to help you manage your workload.

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(365 Data Science, 2017)

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(LinkedIn Learning, 2020)

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Normal distribution | LinkedIn Learning, formerly Lynda.com

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Join Vince Kotchian for an in-depth discussion in this video, Normal distribution, part of Test Prep: GRE.

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The standardized variable, Z, always has mean μ=0 and standard deviation σ=1 (Berenson et.al, 2020, p. 448)

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A z-score is a standardized value that indicates the number of standard deviations a value is from the mean. A z-score greater than zero indicates that the value is greater than the mean; a z-score less than zero indicates that the value is less than the mean; and a z-score of zero indicates that the value is equal to the mean (Newbold et al., p.77)

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Core book "Statistics for Business and Economics: Global Edition"

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Core book "Statistics for Business and Economics: Global Edition"

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"The normal distribution closely approximates the probability distributions of a wide range of random variables.

For example, the dimensions of parts and the weights of food packages often follow a normal distribution. This leads to quality-control applications.

Total sales or production often follows a normal distribution, which leads us to a large family of applications in marketing and in production management.

The patterns of stock and bond prices are often modeled using the normal distribution in large computer-based financial trading models.” (Newbold et al., p.206)

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Please, add your posts!... anywhere @ this wall

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Please, add your posts!... anywhere @ this wall

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questions, tips, etc.

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Video 'The normal distribution is everywhere' (2:53m)

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Video 'The normal distribution is everywhere' (2:53m)

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Course details

Statistics help us make sense of the world around us. These numbers help everyone from political pollsters to fantasy football aficionados make informed calls based on the mountains of data at their disposal. In this weekly series, learn how to decode the statistics that pop up on a daily basis. Eddie Davila explores a new eclectic, real-world topic each week. Learn how stats are used to find the average score on a test, how casinos use stats to ensure that the house will usually win, and more.

Note: Because this is an ongoing series, viewers will not receive a certificate of completion.

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26,844 people watched this course

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University Professor, Software Developer, Student, and Research Fellow

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Everyday Statistics, with Eddie Davila - The normal distribution is everywhere

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Statistics help us make sense of the world around us. These numbers help everyone from political pollsters to fantasy football aficionados make informed calls based on the mountains of data at their disposal. In this weekly series, learn how to decode the statistics that pop up on a daily basis.

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(Berenson et al., 2020, pp. 446-455)

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A simple, intuitive reader app that makes learning more effective

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Video 'Introduce the normal distribution' (3:50m)

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Video 'Introduce the normal distribution' (3:50m)

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Introduce the normal distribution | LinkedIn Learning, formerly Lynda.com

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The values in most datasets fall into a familiar pattern, with many more values close to the overall average, and fewer values as you move away from the average. This pattern is called the normal distribution.

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For business, many continuous variables used in decision making have distributions that closely resemble the normal distribution. The normal distribution can be used to estimate values for such variables, specifically, the probability that values occur within a specific range or interval.