Null and Alternative Hypotheses | Introduction to Statistics (2024)

Learning Outcomes

  • Describe hypothesis testing in general and in practice

The actual test begins by considering twohypotheses. They are called the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.

H0: The null hypothesis: It is a statement about the population that either is believed to be true or is used to put forth an argument unless it can be shown to be incorrect beyond a reasonable doubt.

Ha: The alternative hypothesis: It is a claim about the population that is contradictory to H0 and what we conclude when we reject H0.

Since the null and alternative hypotheses are contradictory, you must examine evidence to decide if you have enough evidence to reject the null hypothesis or not. The evidence is in the form of sample data.

After you have determined which hypothesis the sample supports, you make adecision. There are two options for adecision. They are “reject H0” if the sample information favors the alternative hypothesis or “do not reject H0” or “decline to reject H0” if the sample information is insufficient to reject the null hypothesis.

Mathematical Symbols Used inH0 and Ha:

H0Ha
equal (=)not equal (≠)
or greater than (>) or less than (<)
greater than or equal to (≥)less than (<)
less than or equal to (≤)more than (>)

Note

H0 always has a symbol with an equal in it. Ha never has a symbol with an equal in it. The choice of symbol depends on the wording of the hypothesis test. However, be aware that many researchers (including one of the co-authors in research work) use = in the null hypothesis, even with > or < as the symbol in the alternative hypothesis. This practice is acceptable because we only make the decision to reject or not reject the null hypothesis.

Example

H0: No more than 30% of the registered voters in Santa Clara County voted in the primary election. p ≤ 30

Ha: More than 30% of the registered voters in Santa Clara County voted in the primary election. p > 30

try it

A medical trial is conducted to test whether or not a new medicine reduces cholesterol by 25%. State the null and alternative hypotheses.

H0 : The drug reduces cholesterol by 25%. p = 0.25

Ha : The drug does not reduce cholesterol by 25%. p ≠ 0.25

Example

We want to test whether the mean GPA of students in American colleges is different from 2.0 (out of 4.0). The null and alternative hypotheses are:

H0: μ = 2.0

Ha: μ ≠ 2.0

try it

We want to test whether the mean height of eighth graders is 66 inches. State the null and alternative hypotheses. Fill in the correct symbol (=, ≠, ≥, <, ≤, >) for the null and alternative hypotheses. H0: μ __ 66 Ha:μ __ 66

  1. H0 : μ = 66
  2. Ha : μ ≠ 66

Example

We want to test if college students take less than five years to graduate from college, on the average. The null and alternative hypotheses are:

H0: μ ≥ 5

Ha: μ < 5

try it

We want to test if it takes fewer than 45 minutes to teach a lesson plan. State the null and alternative hypotheses. Fill in the correct symbol ( =, ≠, ≥, <, ≤, >) for the null and alternative hypotheses.
H0: μ __ 45 Ha:μ __ 45

  1. H0: μ ≥ 45
  2. Ha: μ < 45

Example

In an issue of U.S. News and World Report, an article on school standards stated that about half of all students in France, Germany, and Israel take advanced placement exams and a third pass. The same article stated that 6.6% of U.S. students take advanced placement exams and 4.4% pass. Test if the percentage of U.S. students who take advanced placement exams is more than 6.6%. State the null and alternative hypotheses.

H0: p ≤ 0.066

Ha: p > 0.066

try it

On a state driver’s test, about 40% pass the test on the first try. We want to test if more than 40% pass on the first try. Fill in the correct symbol (=, ≠, ≥, <, ≤, >) for the null and alternative hypotheses.
H0: p __ 0.40 Ha: p __ 0.40

  1. H0: p = 0.40
  2. Ha: p > 0.40

Concept Review

In ahypothesis test, sample data is evaluated in order to arrive at a decision about some type of claim. If certain conditions about the sample are satisfied, then the claim can be evaluated for a population. In a hypothesis test, we: Evaluate the null hypothesis, typically denoted with H0. The null is not rejected unless the hypothesis test shows otherwise. The null statement must always contain some form of equality (=, ≤ or ≥) Always write the alternative hypothesis, typically denoted with Ha or H1, using less than, greater than, or not equals symbols, i.e., (≠, >, or <). If we reject the null hypothesis, then we can assume there is enough evidence to support the alternative hypothesis. Never state that a claim is proven true or false. Keep in mind the underlying fact that hypothesis testing is based on probability laws; therefore, we can talk only in terms of non-absolute certainties.

Formula Review

H0 and Ha are contradictory.

Null and Alternative Hypotheses | Introduction to Statistics (2024)

FAQs

How do you answer null and alternative hypothesis? ›

Since the null and alternative hypotheses are contradictory, you must examine evidence to decide if you have enough evidence to reject the null hypothesis or not. The evidence is in the form of sample data. After you have determined which hypothesis the sample supports, you make adecision.

What is the appropriate null and alternative hypotheses? ›

Null and alternative hypotheses are used in statistical hypothesis testing. The null hypothesis of a test always predicts no effect or no relationship between variables, while the alternative hypothesis states your research prediction of an effect or relationship.

Are null and alternative hypothesis statements about sample statistics? ›

Answer and Explanation:

Hypotheses are statements always made about population parameters. So, null and alternative hypotheses are statements about population parameters, which insinuates that the indicated statement is false as they can't be about sample statistics.

What is the null and alternative hypothesis for statistical significance? ›

The null hypothesis is the statement or claim being made (which we are trying to disprove) and the alternative hypothesis is the hypothesis that we are trying to prove and which is accepted if we have sufficient evidence to reject the null hypothesis.

What is null and alternative hypothesis for dummies? ›

The null hypothesis is a presumption of status quo or no change. Alternative Hypothesis (Ha) – This is also known as the claim. This hypothesis should state what you expect the data to show, based on your research on the topic. This is your answer to your research question.

Can you accept the null and alternative hypothesis? ›

If our test statistic is: positive and greater than the critical value, then we have sufficient evidence to reject the null hypothesis and accept the alternative hypothesis. positive and lower than or equal to the critical value, we must accept the null hypothesis.

Should you write both null and alternative hypothesis? ›

It is important to completely specify the study - which means that you should state both null and alternative hypothesis (there are different possible alternatives depending on your problem).

Which is better null or alternative hypothesis? ›

The null hypothesis basically states that there are no statistically significant differences between two or more experimental or control groups. By contrast, the alternative hypothesis indicates that statistically significant differences occur between two or more experimental or control groups.

When to reject a null hypothesis? ›

In null hypothesis testing, this criterion is called α (alpha) and is almost always set to . 05. If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected. When this happens, the result is said to be statistically significant.

How would you support or fail to support a null and alternative hypothesis? ›

Rejecting or failing to reject the null hypothesis

If our statistical analysis shows that the significance level is below the cut-off value we have set (e.g., either 0.05 or 0.01), we reject the null hypothesis and accept the alternative hypothesis.

Do you assume the null hypothesis is true? ›

The null hypothesis is typically denoted as . The null hypothesis states the "status quo". This hypothesis is assumed to be true until there is evidence to suggest otherwise.

Why are null hypotheses so important in statistics? ›

The null hypothesis states that there is no relationship between two population parameters, i.e., an independent variable and a dependent variable. If the hypothesis shows a relationship between the two parameters, the outcome could be due to an experimental or sampling error.

What is the null and alternative hypothesis and give an example of each? ›

The null hypothesis is the one to be tested and the alternative is everything else. In our example: The null hypothesis would be: The mean data scientist salary is 113,000 dollars. While the alternative: The mean data scientist salary is not 113,000 dollars.

What is the difference between failing to reject the null hypothesis and having evidence to support the alternative hypothesis? ›

"Failing to reject" the null hypothesis does not necessarily mean that we accept it as true. Instead, it means that there isn't enough evidence against the null hypothesis; hence, we do not adopt the alternative hypothesis.

How to write H0 and H1 hypothesis? ›

If it uses words such as “less, decreased, smaller and so on”, apply “<” for H1. If words such as “the same, change, different/difference and so on” appear in the claim, use “≠” for H1. The opposite symbol will be used for H0. (Note: For MATH 1257, always use “=” for H0.)

What is the best description and example of the null hypothesis in a hypothesis test? ›

The null hypothesis assumes that any kind of difference between the chosen characteristics that you see in a set of data is due to chance. For example, if the expected earnings for the gambling game are truly equal to zero, then any difference between the average earnings in the data and zero is due to chance.

What does it mean to reject the null hypothesis? ›

Rejecting the null hypothesis means that a relationship does exist between a set of variables and the effect is statistically significant (p > 0.05).

How to write a null hypothesis and alternative hypothesis in a paper? ›

To formulate a null hypothesis (H0) in quantitative research, researchers state there is no effect or difference between variables (e.g., µ1 = µ2), and, for an alternative hypothesis (H1 or Ha), they posit there is a significant effect or difference (e.g., µ1 ≠ µ2).

References

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