How can the results of a statistical test influence our understanding of a population?
Hypothesis Testing
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Health Sciences, Mathematics, Biology
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University
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Hard
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This video tutorial covers the basics of hypothesis testing, including the definition of a hypothesis, the process of sampling, and making inferences about populations. It explains the concepts of null and alternative hypotheses, P values, significance levels, and confidence intervals. The tutorial uses examples to illustrate how these statistical tools are used to test hypotheses and make informed decisions based on sample data.
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4 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What happens if the P value is greater than the alpha level?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Why is it important to consider the implications of the data when choosing a significance level?
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4.
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3 mins • 1 pt
Describe the concept of a 95% confidence interval.
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