Null and alternative hypotheses are statements about the properties of a population that are used in hypothesis testing.

1. Null Hypothesis (H0): This is a statement about the population that either represents a conservative stance, a statement of no effect, or a theory that you want to disprove. It assumes that any kind of difference or significance you see in a set of data is due to chance.

2. Alternative Hypothesis (H1 or Ha): This is a statement that directly contradicts the null hypothesis. It represents a theory that you want to prove. The alternative hypothesis assumes that any kind of difference or significance you see in a set of data is not due to chance.

In hypothesis testing, you'll test the validity of the null hypothesis first and either accept or reject it. If you reject the null hypothesis, you can then conclude that the alternative hypothesis may be true.

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Null and alternative hypotheses are statements about the properties of a population that are used in hypothesis testing.

1. Null Hypothesis (H0): This is a statement about the population that either represents a conservative stance, a statement of no effect, or a theory that you want to disprove. It assumes that any kind of difference or significance you see in a set of data is due to chance.

2. Alternative Hypothesis (H1 or Ha): This is a statement that directly contradicts the null hypothesis. It represents a theory that you want to prove. The alternative hypothesis assumes that any kind of difference or significance you see in a set of data is not due to chance.

In hypothesis testing, you'll test the validity of the null hypothesis first and either accept or reject it. If you reject the null hypothesis, you can then conclude that the alternative hypothesis may be true.

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Null and alternative hypotheses are statements about the properties of a population that are used in hypothesis testing.

1. Null Hypothesis (H0): This is a statement about the population that either represents a conservative stance, a statement of no effect, or a theory that you want to disprove. It assumes that any kind of difference or significance you see in a set of data is due to chance.

2. Alternative Hypothesis (H1 or Ha): This is a statement that directly contradicts the null hypothesis. It represents a theory that you want to prove. The alternative hypothesis assumes that any kind of difference or significance you see in a set of data is not due to chance.

In hypothesis testing, you'll test the validity of the null hypothesis first and either accept or reject it. If you reject the null hypothesis, you can then conclude that the alternative hypothesis may be true.

Null and alternative hypotheses are statements about

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