
There are four main types of alternative hypothesis:
- Point alternative hypothesis. This hypothesis occurs when the population distribution in the hypothesis test is fully defined and has no unknown parameters. It usually has no practical interest, but it is considered important in other statistical activities.
- Non-directional alternative hypothesis. ...
- One-tailed directional hypothesis. ...
- Two-tailed directional hypothesis. ...
What does alternative hypothesis stand for?
What does alternative hypothesis mean? alternative hypothesis (Noun) A rival hypothesis to the null hypothesis, whose likelihoods are compared by a statistical hypothesis test.
What is the format to make a hypothesis?
A hypothesis often follows a basic format of "If {this happens} then {this will happen}." One way to structure your hypothesis is to describe what will happen to the dependent variable if you make changes to the independent variable.
How do you type the alternative hypothesis symbol?
Type a "0" to create a null hypothesis symbol or "1" to create an alternative hypothesis symbol. Alternatively, type an "o" or "a" to represent the null and alternative hypotheses, respectively, although these symbols are not as frequently used. Press the subscript button again to exit this formatting mode.
What are the different types of hypothesis?
What are the 5 types of hypothesis?
- Simple hypothesis.
- Complex hypothesis.
- Directional hypothesis.
- Non-directional hypothesis.
- Null hypothesis.
- Associative and casual hypothesis.

What are the 2 types of hypothesis?
What are the 2 types of hypothesis? The two types of hypotheses are null and alternative hypotheses. Null hypotheses are used to test the claim that "there is no difference between two groups of data". Alternative hypotheses test the claim that "there is a difference between two data groups".
Can you have 2 alternative hypothesis?
One-sided and two-sided hypotheses The alternative hypothesis can be either one-sided or two sided. Use a two-sided alternative hypothesis (also known as a nondirectional hypothesis) to determine whether the population parameter is either greater than or less than the hypothesized value.
What is a two-sided alternative hypothesis?
A two-sided hypothesis is an alternative hypothesis which is not bounded from above or from below, as opposed to a one-sided hypothesis which is always bounded from either above or below. In fact, a two-sided hypothesis is nothing more than the union of two one-sided hypotheses.
What is the kind of alternative hypothesis?
The alternative hypothesis is a statement used in statistical inference experiment. It is contradictory to the null hypothesis and denoted by Ha or H1. We can also say that it is simply an alternative to the null. In hypothesis testing, an alternative theory is a statement which a researcher is testing.
How many alternative hypotheses are there?
Types. In the case of a scalar parameter, there are four principal types of alternative hypothesis: Point.
What is H1 and H0 hypothesis?
Alternative Hypothesis: H1: The hypothesis that we are interested in proving. Null hypothesis: H0: The complement of the alternative hypothesis. Type I error: reject the null hypothesis when it is correct. It is measured by the level of significance α, i.e., the probability of type I error.
What is the difference between a one sided and a two-sided alternative hypothesis?
An alternative hypothesis may be one-sided or two-sided. A one-sided hypothesis claims that a parameter is either larger or smaller than the value given by the null hypothesis. A two-sided hypothesis claims that a parameter is simply not equal to the value given by the null hypothesis -- the direction does not matter.
When the alternative hypothesis is two tailed?
A two-tailed test results from an alternative hypothesis which does not specify a direction. i.e. when the alternative hypothesis states that the null hypothesis is wrong.
Can a study have 2 hypotheses?
A single study may have one or many hypotheses.
Can there be 2 null hypothesis?
An alternative hypothesis is the inverse of a null hypothesis. An alternative hypothesis and a null hypothesis are mutually exclusive, which means that only one of the two hypotheses can be true. A statistical significance exists between the two variables.
Can you test more than one hypothesis?
Multiple testing refers to any instance that involves the simultaneous testing of more than one hypothesis. If decisions about the individual hypotheses are based on the unad- justed marginal p-values, then there is typically a large probability that some of the true null hypotheses will be rejected.
How many hypothesis can you have?
There are no imposed limits to the number of hypotheses, unless restricted by the university or institution. However, there are a couple guidelines to consider when developing hypotheses, as follows: One hypothesis is required for each condition tested.
What is an alternative hypothesis?
An alternative hypothesis is an opposing theory in relation to the null hypothesis. When you create a null hypothesis, you make an educated guess whether something is true, or whether there is any relation between two phenomena.
What is the difference between a null hypothesis and an alternative hypothesis?
There are also differences in the primary assumptions of an alternative or null hypothesis. A null hypothesis claims there is no relationship between two sets of data. An alternative hypothesis claims any data you collect may vary depending on random causes. A null hypothesis attempts to prove a correlation between two items and an alternative hypothesis attempts to gather data to disprove that theory.
What does the symbol "ho" mean in a null hypothesis?
You use symbols to describe both the alternative and null hypotheses. The alternative hypothesis uses the symbol Ha. The null hypothesis uses the symbol Ho. After completing your research, you will decide whether to reject the Ho or decline to reject the Ho. When you decline to reject the Ho, you don't claim the statement is true but that you cannot disprove it.
What is a one-tailed directional test?
In a one-tailed directional test, the alternative hypothesis only tests one direction. For example, the test can only uncover if the differences are greater than, or less than, zero, but not both at once. If the researcher suspects the difference is less, then they describe the test as left-tailed. If the researcher proposes that the difference is more than zero, then they describe the test as right-tailed.
What does greater than mean in a hypothesis?
Both hypotheses use greater than, less than or equal to, to describe the decision and whether your data accepts or rejects the original hypothesis.
How many years of work experience do you need to be a candidate for an interview?
Employee candidates who have a minimum of four years of work experience are more likely to receive an interview.
Can you test null hypothesis?
Whereas it is not always possible to test research problems, you can physically test both an alternative and null hypothesis. You want to describe both in a way that allows the researcher to gather information. Both alternative and null hypotheses have one- and two-sided testing capabilities, and they can apply to a wide range of research opportunities.
What does it mean when we reject the null hypothesis?
If we reject the null hypothesis, this means we have sufficient evidence from the sample data to say that the true mean weight produced by this new gardening method is less than 20 pounds.
What does it mean when the p-value is not less than some significance level?
If the p-value is not less than some significance level, then we fail to reject the null hypothesis. This means our sample data did not provide us with evidence that the assumption made by the null hypothesis was not true.
What is the first step in a hypothesis test?
The first step in a hypothesis test is to define the null and alternative hypotheses. These two hypotheses need to be mutually exclusive, so if one is true then the other must be false.
What is the null hypothesis?
Null hypothesis (H0): The sample data is consistent with the prevailing belief about the population parameter.
What are two types of alternative hypotheses?
There are two types of alternative hypotheses: A one-tailed hypothesis involves making a “greater than” or “less than ” statement. For example, suppose we assume the mean height of a male in the U.S. is greater than or equal to 70 inches.
What is a two-tailed hypothesis?
A two-tailed hypothesis involves making an “equal to” or “not equal to” statement. For example, suppose we assume the mean height of a male in the U.S. is equal to 70 inches.
Is the equal sign always included in the null hypothesis?
Note: The “equal” sign is always included in the null hypothesis, whether it is =, ≥, or ≤.
What does the null hypothesis mean?
This statement relates to the neutral value. For example, if the test is about the relation between two variables, the null would always state that there is no relation between the two variables or that one variable does not influence the other. In mathematical notation, a null hypothesis always incorporates the equals sign (=).
What is the term for the movement of the value in either direction?
In the process of hypothesis testing, when the claim to be tested is that the parameter of interest is not the hypothesized value, then the claim does not mention any specific direction. This means that the movement of the value in either direction (less than the hypothesized value or more than the hypothesized value) is considered to be significant. Such an alternate hypothesis is called a two-tailed hypothesis
What is an alternate hypothesis?
This statement is the opposite of the null hypothesis. Most of the time, an alternate hypothesis is the one that contains the claim of the researcher. For example, if the researcher wants to test that the two variables are related, then the alternate hypothesis would claim that the two variables are significantly related or significantly influence each other. In mathematical notation, an alternate hypothesis would contain no equals sign.
What is hypothesis testing?
The process of hypothesis testing is concerned about testing the hypothesis. A hypothesis is a set of two statements that reflects the claim of the researcher. The two statements are a null hypothesis and an alternate hypothesis.
What is the middle area of a two-tailed alternative hypothesis?
The middle area between the two critical values is considered as the acceptance region or non-rejection region . This is how a two-tailed alternate hypothesis differs from the one-tailed hypothesis.
What are the three scenarios of the alternate hypothesis?
There can be three scenarios for the alternate hypothesis: left-tailed, right-tailed, and two-tailed.
Where is the rejection region on a two-tailed test?
For a two-tailed test, the rejection region comes under both tails of the normal curve.
Why are null hypothesis and alternative hypothesis fragmented?
The null hypothesis and alternative hypothesis are required to be fragmented properly before the data collection and interpretation phase in the research. Well fragmented hypotheses indicate that the researcher has adequate knowledge in that particular area and is thus able to take the investigation further because they can use a much more systematic system. It gives direction to the researcher on his/her collection and interpretation of data.
What are the two types of hypothesis?
There are basically two types, namely, null hypothesis and alternative hypothesis . A research generally starts with a problem. Next, these hypotheses provide the researcher with some specific restatements and clarifications of the research problem.
What is the difference between null hypothesis and alternative hypothesis?
The major differences between the null hypothesis and alternative hypothesis and the research problems are that the research problems are simple questions that cannot be tested. These two hypotheses can be tested, though. The null hypothesis and alternative hypothesis are required to be fragmented properly before the data collection ...
What is an alternative hypothesis?
The alternative hypothesis is generally denoted as H1. It makes a statement that suggests or advises a potential result or an outcome that an investigator or the researcher may expect.
What is the purpose of null hypothesis?
The purpose and importance of the null hypothesis and alternative hypothesis are that they provide an approximate description of the phenomena. The purpose is to provide the researcher or an investigator with a relational statement that is directly tested in a research study. The purpose is to provide the framework for reporting the inferences ...
Why are well fragmented hypotheses important?
Well fragmented hypotheses indicate that the researcher has adequate knowledge in that particular area and is thus able to take the investigation further because they can use a much more systematic system. It gives direction to the researcher on his/her collection and interpretation of data.
What is the criteria of a research problem in the form of null hypothesis and alternative hypothesis?
The criteria of the research problem in the form of null hypothesis and alternative hypothesis should be expressed as a relationship between two or more variables. The criteria is that the statements should be the one that expresses the relationship between the two or more measurable variables.

Types of Alternative Hypotheses
- There are two types of alternative hypotheses: A one-tailed hypothesisinvolves making a “greater than” or “less than ” statement. For example, suppose we assume the mean height of a male in the U.S. is greater than or equal to 70 inches. The null and alternative hypotheses in this case would be: 1. Null hypothesis:µ ≥ 70 inches 2. Alternative hypot...
Examples of Alternative Hypotheses
- The following examples illustrate how to define the null and alternative hypotheses for different research problems. Example 1:A biologist wants to test if the mean weight of a certain population of turtle is different from the widely-accepted mean weight of 300 pounds. The null and alternative hypothesis for this research study would be: 1. Null hypothesis:µ = 300 pounds 2. Alt…
When to Reject The Null Hypothesis
- Whenever we conduct a hypothesis test, we use sample data to calculate a test-statistic and a corresponding p-value. If the p-value is less than some significance level (common choices are 0.10, 0.05, and 0.01), then we reject the null hypothesis. This means we have sufficient evidence from the sample data to say that the assumption made by the null hypothesis is not true. If the …