Hypothesis Testing
Mastering the Art of Statistical Decision Making through Hypothesis Testing
3.67 (3 reviews)
2 506
students
4 hours
content
Oct 2024
last update
$19.99
regular price
What you will learn
Identify the key components of hypothesis testing, including null and alternative hypotheses, significance levels, and types of errors.
Explain the rationale behind different types of hypothesis tests (e.g., t-tests, z-tests) and when each is appropriate to use.
Apply the hypothesis testing framework to real-world data, performing tests to evaluate claims about population parameters.
Analyze the results of hypothesis tests by interpreting p-values, confidence intervals, and the significance of results.
Evaluate the outcomes of hypothesis tests, assessing the risk of Type I and Type II errors and the implications of these risks in decision-making.
Create and communicate clear reports of statistical findings, including all relevant assumptions, calculations, and interpretations of hypothesis test results.
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6238005
udemy ID
16/10/2024
course created date
30/10/2024
course indexed date
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