Hypothesis testing begins by stating two competing claims about a population: the null hypothesis and the alternative hypothesis. This lesson explains how the claims relate, how to choose their symbols, and how sample evidence leads to a decision.
The null hypothesis, written H0, is a statement about a population that commonly represents no difference, no relationship, or a status quo. It is the claim that a test evaluates. For example, a null hypothesis might state that a population proportion is at most a specified value.
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What is the null hypothesis?
The null hypothesis, H0, is a claim about a population that commonly represents no difference, no relationship, or the status quo. It is assessed using sample evidence.
What is the alternative hypothesis?
The alternative hypothesis, Ha, is the claim that contradicts H0. It often expresses what the researcher is investigating and is favored when evidence is strong enough to reject the null.
What symbol rule distinguishes H0 from Ha?
H0 includes equality, using =,≤, or ≥.Ha excludes equality, using =,<, or >.
How do you write hypotheses for a claim that a proportion is more than 30%?
Place the claim in the alternative: Ha:p>0.30. The complementary null is H0:p≤0.30.
What does “do not reject H0” mean?
The sample evidence did not meet the chosen standard for rejecting the null. It does not prove that H0 is true.
Quiz questions
Which kind of symbol does a null hypothesis include by convention?Answer: Equality, such as =,≤, or ≥.
A researcher tests whether more than 40% of a population has a characteristic. Which hypotheses fit that claim?Answer: H0:p≤0.40 and Ha:p>0.40
A researcher asks whether a population mean differs from 12. Which alternative hypothesis matches the question?Answer: Ha:μ=12
What does an analyst examine to assess whether there is evidence against the null hypothesis?Answer: Sample data from the population of interest.