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Data Analytics: Hypothesis testing
This free online explains the concepts of hypothesis testing as it is used for assumptions in populations parameters.
Description
Data analytics and hypothesis testing is an aspect of inferential statistics that enables us to make decisions about populations based on available samples. This free online course on Alison takes you through the concept of population mean and population proportion. The course defines the steps used in computing the population value and how the critical value approach is implemented in two-tailed hypothesis testing.
The course explains the different types of errors encountered in hypothesis testing. You will learn about the several ways of obtaining the value of null hypothesis as well as the relationship between hypothesis testing and decision making. You will learn how the hypothesis tests are used for two population means. You will also get to know more about how to make inferences on the differences between two population means.
Regression analysis is a statistical technique that is very useful in engineering and science problems. This free online course explains how empirical models are used for process optimization, such as finding the level of temperature that maximizes yield and process control purposes. You will study factorial experiments and various environmental studies in businesses. Start this course on Alison today and improve your skills on data analytics.
Start Course NowModules
Hypothesis Testing
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Hypothesis Testing - Learning Outcomes
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Hypothesis Testing
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Errors in Hypothesis Testing
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Hypothesis Testing - Lesson Summary
Two Sample Testing
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Two Sample Testing - Learning Outcomes
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Two Sample Testing
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ANOVA
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Post Hoc Analysis - Tukey's Test
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Two Sample Testing - Lesson Summary
Linear Regression
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Linear Regression - Learning Outcomes
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Randomized Block Design
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Two Way ANOVA
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Linear Regression
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Linear Regression - Lesson Summary
Course assessment
Learning Outcomes
Upon successful completion of this course, you will be able to:
- Describe population mean and population proportion
- Describe how to use one tailed tests on a population mean
- Describe the steps used in computing the population value
- Explain the critical value approach to two-tailed hypothesis testing
- Describe the ways of obtaining the value of null hypothesis
- Describe the one way ANOVA
- Explain the sample size calculation theorem
- Describe how to conduct hypothesis testing with categorical data
- Describe the production process input and output
- Explain the application of quality engineering techniques and the systemic reduction of process variability
- Describe engineering experiments involving several factors using the factorial design approach
- Describe how ANOVA is used to analyze data from experiments
Certification
All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate is:
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