- Two types of hypothesis
- Business context
- Hypothesis formulation
Programme overview
Making decisions about the world based on data requires a process that bridges the gap between unstructured data and the decision. Statistical hypothesis testing helps decision-making by formulating beliefs about the world, including people, organisations or other objects, and formally testing these beliefs.
In this free course, you will study the principles of hypothesis testing, including the specification of significance levels, as well as one-sided and two-sided tests. Finally, you will learn how to perform a hypothesis test of the mean of a variable, as well as the proportion of individuals in a dataset with a certain characteristic.
You will use spreadsheets throughout the course as the central tool used by professionals for simple data management and analysis. Please note: this course will require the use of Microsoft Excel or a similar programme.
Curriculum
- Statistical significance
One-tailed vs Two-tailed tests
- Non-directional hypotheses
- Directional hypotheses
- Z-test: known population standard deviation
- T-test: unknown population standard deviation
- Additional consideration
- Non-directional hypotheses
- Directional hypotheses
- One-tailed test
- Two-tailed test
- Practical example
- Finding x-bar
- Calculating the p-value
Hypothesis testing for population proportions
- Practical example
- One-sample t-tests: comparing a sample mean against the population mean
- Performing a One-Tailed One-Sample T-Test
- Performing a two-tailed one-sample T-test
- Practical Example
- P-value
Course learning outcomes
After studying this course, you should be able to:
- understand the principle of hypothesis testing
- understand the idea of alpha in hypothesis testing
- differentiate between one-tailed and two-tailed tests
- understand hypothesis testing of means and proportions
- report the exact p-value of a test.
Key features
Flexible Online Learning
Study at your own pace with online course materials that can be accessed anytime, making learning easy to fit around work and personal commitments.
Interactive Learning Activities
Access quizzes, activities, and course exercises designed to support understanding and help reinforce key concepts throughout the course.
Free online course
No Additional Costs
There are no mandatory additional costs to complete the course, although access to Microsoft Excel or similar spreadsheet software is recommended.
Free Statement of Participation
Learners who successfully complete the course can receive a free digital Statement of Participation as recognition of their learning
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