Probability and Statistics Essential Training

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Intermediate
7 Students
16 hours, 19 minutes

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Course Overview

Become a trained professional from the safety and comfort of your own home by taking Probability and Statistics Essential Training . Whatever your situation and requirements, One Education can supply you with professional teaching, gained from industry experts, and brought to you for a great price with a limited-time discount.

One Education has been proud to produce an extensive range of best-selling courses, and Probability and Statistics Essential Training is one of our best offerings. It is crafted specially to promote easy learning at any location with an online device. Each topic has been separated into digestible portions that can be memorised and understood in the minimum of time.

Teaching and training are more than just a job for the staff at One Education; we take pride in employing those who share our vision for e-learning and its importance in today’s society. To prove this, all learning materials for each course are available for at least one year after the initial purchase.

All of our tutors and IT help desk personnel are available to answer any questions regarding your training or any technical difficulties.

By completing Probability and Statistics Essential Training, you will have automatically earnt an e-certificate that is industry-recognised and will be a great addition to your competencies on your CV.

Whatever your reason for studying Probability and Statistics Essential Training, make the most of this opportunity from One Education and excel in your chosen field.

Please be aware that there are no hidden fees, no sudden exam charges, and no other kind of unexpected payments. All costs will be made very clear before you even attempt to sign up.

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

Video lessons
Online study materials

Will I receive a certificate of completion?

Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.

Why study this course

It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.

The Probability and Statistics Essential Training is fully available to anyone, and no previous qualifications are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.

Course Curriculum

Introduction
	Introduction	00:02:00
	Course Overview	00:03:00
Descriptive Statistics
	The Mean Average	00:15:00
	The Median Average	00:09:00
	The Modal Average	00:08:00
	Comparing Averages	00:09:00
	Quantiles, Range and Inter-Quartile Range	00:14:00
	Standard Deviation and Variance	00:16:00
	The Coefficient of Variation	00:05:00
	Skew	00:12:00
	Kurtosis	00:11:00
	Correlation Coefficients	00:17:00
Cleaning Data
	Anomalies and Outliers	00:17:00
	Coding Your Data	00:11:00
Data Visualization
	Line Graphs	00:11:00
	Bar Charts	00:10:00
	Dual Axis Charts	00:07:00
	Pie Charts	00:07:00
	Histograms	00:13:00
	Box Plots	00:09:00
	Cumulative Frequency	00:10:00
	Comparing Visualizations	00:13:00
Sampling
	Populations and Samples	00:06:00
	Random Sampling	00:14:00
	Non-Random Sampling	00:06:00
Probability
	What is Probability?	00:09:00
	Set Notation	00:10:00
	Independent Events	00:04:00
	Mutually Exclusive Events	00:06:00
	Tree Diagrams	00:07:00
	Venn Diagrams	00:13:00
	Conditional Probability	00:11:00
	Bayes’ Theorem	00:14:00
Discrete Distributions
	What is a Discrete Random Variable?	00:08:00
	Probability Mass Functions	00:06:00
	The Expectation of a Discrete Random Variable	00:07:00
	The Variance of a Discrete Random Variable	00:08:00
	The Binomial Distribution – Intro	00:11:00
	The Binomial Distribution Formula – Part 1	00:18:00
	The Binomial Distribution Formula – Part 2	00:07:00
	Using Excel to Solve Binomial Problems	00:08:00
	Applying the Binomial Distribution to Real-World Problems	00:06:00
	Conditional Probability with the Binomial Distribution	00:06:00
	The Poisson Distribution – Intro	00:07:00
	Using Excel to Solve Poisson Problems	00:09:00
	Applying the Poisson Distribution Real-World Problems	00:08:00
	Conditional Probability with the Poisson Distribution	00:06:00
	The Geometric Distribution	00:09:00
	Expectation and Variance of Distributions	00:08:00
	Approximating the Binomial Distribution with the Poisson Distribution	00:06:00
	Derivation of the Poisson Formula	00:13:00
Continuous Distributions
	What is a Continuous Distribution?	00:13:00
	The Normal Distribution – Intro	00:12:00
	Calculating Probabilities with the Normal Distribution	00:14:00
	The Inverse Normal Distribution	00:13:00
	Z-Scores	00:11:00
	Finding Unknown Means and Standard Deviations	00:10:00
	Conditional Probability with the Normal Distribution	00:10:00
	Normal Approximations to Binomial Distributions – Part 1	00:13:00
	Normal Approximations to Binomial Distributions – Part 2	00:08:00
	Normal Approximations to Poisson Distributions	00:14:00
	The Central Limit Theorem	00:22:00
	The Limitations of the Central Limit Theorem	00:09:00
	Continuous Random Variables – Probability Density Functions	00:14:00
	Continuous Random Variables – Cumulative Distribution Functions	00:11:00
	Continuous Random Variables – Expectation and Variance	00:09:00
	Continuous Random Variables – Medians and Quartiles	00:09:00
Hypothesis Tests
	Introduction to Hypothesis Tests – P-Values	00:11:00
	Binomial Hypothesis Tests – Part 1	00:10:00
	Binomial Hypothesis Tests – Part 2	00:07:00
	Binomial Hypothesis Tests – Critical Regions	00:15:00
	Two-Tailed Tests	00:09:00
	Poisson Hypothesis Tests	00:08:00
	Poisson Critical Regions	00:08:00
	Normal Hypothesis Tests	00:12:00
	Normal Hypothesis Tests – Critical Regions	00:13:00
	T-Tests	00:13:00
	Confidence Intervals	00:14:00
Regression
	Correlation	00:08:00
	Linear Regression	00:15:00
	Evaluating a Regression Line	00:07:00
	Correlation Hypothesis Tests – Intro	00:07:00
	Carrying Out a Test for Correlation	00:08:00
	Correlation Confidence Intervals	00:05:00
	Working with Non-Linear Data – Exponential Models	00:09:00
	Working with Non-Linear Data – Polynomial Models	00:08:00
Quality of Tests
	Type I Errors	00:16:00
	Type II Errors	00:10:00
	Size and Power	00:23:00
	P-Hacking	00:06:00
Chi-Squared Tests
	The Chi-Squared Distribution	00:11:00
	Chi-Squared Tests for Goodness of Fit	00:14:00
	Grouping	00:12:00
	Using Estimated Parameters in Chi-Squared Tests	00:13:00
	Chi-Squared Tests for Association	00:15:00

Probability and Statistics Essential Training

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