Data Analytics: Hypothesis testing

Name: Data Analytics: Hypothesis testing
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This free online explains the concepts of hypothesis testing as it is used for assumptions in populations parameters.

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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

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