Hypothesis Testing
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Objective
I can perform a hypothesis test to evaluate a claim about a population.
Part 1 of 4
Warm-up video
Khan Academy · 7:58Vetted channel
We don't generate video — this one is by Khan Academy on YouTube. The practice questions and exit ticket below were drafted by AI for this objective, and every question is editable in the teacher guide.
Part 2 of 4
Key concepts
3 concepts
- 1
The null hypothesis states that a change has no effect, while the alternative hypothesis suggests the change does have an effect.
- 2
The p-value is the probability of obtaining a statistic at least as far from the mean as the one observed, assuming the null hypothesis is true.
- 3
If the p-value is less than the significance level (alpha), you reject the null hypothesis and have evidence for the alternative hypothesis.
Part 3 of 4
Practice
6 questions
What is the purpose of setting up a null and alternative hypothesis in a significance test?
Define the term 'significance level' (alpha) and explain its role in hypothesis testing.
Part 4 of 4
Exit ticket
Quick comprehension check
“A company claims that the average lifespan of their lightbulbs is 1000 hours. You suspect the lifespan is actually less than that. You take a sample of 64 lightbulbs and find the sample mean lifespan is 950 hours. You calculate a p-value of 0.02. If your significance level (α) is 0.05, what is your conclusion regarding the company's claim? Explain your reasoning.”
Sample answer included in the free materials
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