Probability and Statistics Essential Training
Probability and Statistics Essential Training
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16 hours, 19 minutes
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 | ||
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