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cbwms33

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Answer the following Questions:

Hypotheses - Formulate null and alternative hypotheses. What do you think is the relationship between IQ scores and GPA?

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In summary, a null hypothesis is a statement that assumes no significant relationship between variables, while an alternative hypothesis assumes a significant relationship. To formulate them, the variables and their relationship must be identified. They are important in scientific research as they guide the study and allow for testing of relationships. A null hypothesis cannot be proven, but evidence can be provided for the alternative hypothesis.

- #1

cbwms33

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Answer the following Questions:

Hypotheses - Formulate null and alternative hypotheses. What do you think is the relationship between IQ scores and GPA?

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Wilmer

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A null hypothesis is a statement that assumes there is no significant relationship between two or more variables being studied. It is usually denoted by H0 and is the default assumption until proven otherwise.

An alternative hypothesis is a statement that assumes there is a significant relationship between two or more variables being studied. It is denoted by H1 and is the opposite of the null hypothesis. The alternative hypothesis is what the researcher is trying to prove.

To formulate a null and alternative hypothesis, you need to identify the variables being studied and the relationship between them. The null hypothesis should state that there is no significant relationship between the variables, while the alternative hypothesis should state that there is a significant relationship between the variables.

Null and alternative hypotheses are important in scientific research because they help guide the research process and provide a clear direction for the study. They also allow for the testing of specific relationships between variables and help determine the validity of the research findings.

No, a null hypothesis cannot be proven. Instead, the goal is to reject the null hypothesis and provide evidence for the alternative hypothesis. If there is enough evidence to reject the null hypothesis, it means that the alternative hypothesis is more likely to be true.

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