A 1 tailed and 2 tailed hypothesis ?

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In summary, a 1-tailed hypothesis is a directional hypothesis that predicts the outcome of an experiment in only one direction, while a 2-tailed hypothesis is a non-directional hypothesis that predicts the outcome without specifying a particular direction. The main difference between the two is the directionality of the prediction, with a 1-tailed hypothesis making a specific prediction and a 2-tailed hypothesis considering the possibility of the outcome being higher or lower than the expected value. A 1-tailed hypothesis is typically used in studies of cause and effect relationships, while a 2-tailed hypothesis is often used in exploratory studies or when the direction of the effect is unknown.
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a 1 tailed and 2 tailed hypothesis ??

a 1 tailed and 2 tailed hypothesis can some 1 provide me an example of a 1 tailed and 2 tailed hypothesis thank you
What IS A Wilcoxson test, Manny whitney, Sign Test & chi squared test
 
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Saying that "the mean is greater than .5" is a one tailed hypohesis. Saying that "the mean is not equalt to .5" (so that is may be greater than or less than") is a two tailed hhypothesis.
 
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A 1-tailed hypothesis is a directional hypothesis that predicts a specific outcome in one direction (either positive or negative). For example, "Students who study for longer periods of time will have higher test scores than those who study for shorter periods of time." This hypothesis only considers one possible outcome, that longer studying results in higher test scores.

A 2-tailed hypothesis is a non-directional hypothesis that predicts a difference between two groups without specifying the direction of the difference. For example, "There will be a difference in test scores between students who study for longer periods of time and those who study for shorter periods of time." This hypothesis allows for the possibility of either group having higher test scores.

An example of a 1-tailed and 2-tailed hypothesis using the same research question would be:

1-tailed: "Students who participate in a mindfulness meditation program will have lower levels of stress than those who do not participate."

2-tailed: "There will be a difference in stress levels between students who participate in a mindfulness meditation program and those who do not participate."

As for the other tests mentioned, a Wilcoxon test is a non-parametric statistical test used to compare two related groups, typically when the data is not normally distributed. A Mann-Whitney test is also a non-parametric test, but it is used to compare two independent groups. A sign test is used to determine if there is a significant difference between two related groups, based on the direction of the difference. A chi-squared test is a statistical test used to determine if there is a significant relationship between two categorical variables.
 

What is a 1-tailed hypothesis?

A 1-tailed hypothesis is a directional hypothesis that predicts the outcome of an experiment in only one direction. This means that the researcher has a specific expectation of whether the results will be higher or lower than an expected value.

What is a 2-tailed hypothesis?

A 2-tailed hypothesis is a non-directional hypothesis that predicts the outcome of an experiment without specifying a particular direction. This means that the researcher has no specific expectation of whether the results will be higher or lower than an expected value.

What is the difference between a 1-tailed and 2-tailed hypothesis?

The main difference between a 1-tailed and 2-tailed hypothesis is the directionality of the prediction. A 1-tailed hypothesis makes a specific prediction of the outcome, while a 2-tailed hypothesis does not have a specific prediction and considers the possibility of the outcome being higher or lower than the expected value.

When should I use a 1-tailed hypothesis?

A 1-tailed hypothesis should be used when the researcher has a specific expectation of the outcome and wants to test a particular direction of the prediction. This is often used in studies of cause and effect relationships.

When should I use a 2-tailed hypothesis?

A 2-tailed hypothesis should be used when the researcher does not have a specific expectation of the outcome and wants to test for the possibility of the outcome being higher or lower than the expected value. This is often used in exploratory studies or when the direction of the effect is unknown.

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