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A hypothesis in which the scientist predicts the direction of difference within two things being studied.

Ex: Apples are juicier than Pears.

Not directional: There is a difference in the amount of juice between apples and pears.

This is not directional because the scientist does not predict which fruit is juicier, only that they are not the same.

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Consider the following example:

A: The mean height of all men in the city is 5' 6''

B: The mean height of all men in the city is greater than 5' 6''

B is a directional hypothesis because it specifies a direction ( greater than)

Similarly, if the hypothesis C were,

C: The mean height of all men in the city is less than 5'6'', it would also be a directional hypothesis.

Q: What is directional research hypothesis?

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A non-directional research hypothesis is a kind of hypothesis that is used in testing statistical significance. It states that there is no difference between variables.

Whether your alternate hypothesis is directional (one-sided) or non-directional (two-sided) is largely up to you but must be determined before you conduct your experiment, not after. It's not defined by the outcome.

directional

Because the statistical test will compare the probability of the outcome under the null hypothesis in relation to the outcome under either a dierectional or non-directional alternative hypothesis.

In statistical hypothesis testing you have a null hypothesis against which you are testing an alternative. The hypothesis concerns one or more characteristics of the distribution. It is easier to illustrate the idea of directional and non-directional hypothesis. In studying the academic abilities of boys and girls the null hypothesis would be that boys and girls are equally able. One directional hypothesis would be that boys are more able. The non-directional alternative would be that there is a gender difference. You have no idea whether boys are more able or girls - only that they are not the same.

Non-directional hypotheses are used when we are unsure about the direction of the relationship between variables. By using a non-directional hypothesis, we remain open to the possibility of either a positive or negative relationship between the variables, allowing for a more comprehensive exploration of the research question. This approach can help avoid biases and ensure that the findings are based on the data rather than preconceived notions.

Yes. The hypothesis comes first. That determines the nature of the test.

A non-directional hypothesis only proposes a relationship. In contrast, a directional hypothesis also proposes a direction in the relationship. For example, when one variable increases, the other will decrease.

A non-directional hypothesis only proposes a relationship. In contrast, a directional hypothesis also proposes a direction in the relationship. For example, when one variable increases, the other will decrease.

because Hypothesis itself is an assumption and we always use the term hypothesis only for assuming a perfect answer. so,we use mostly three forms,directional,non-directional and null hypothesis. it is a very simple and straightforward way to prove or make correct our hypothesis.

To transform a research problem into a hypothesis, you need to make a specific statement predicting the relationship between two or more variables that can be tested. Consider the key factors of your research problem and determine how they might be related to each other. Formulate a clear and testable assertion that presents the expected outcome of the research based on the problem identified.

Be able to reject the null hypothesis and accept the research hypothesis