The correct answer is D. Both If the hypothesis has one or possible two conclusions & If the region of rejection is located in one or two tails of the distribution.

Here's why:

A one-tail test is used when the research or null hypothesis specifies the direction of the expected findings. For example, a researcher might be testing whether a drug increases heart rate, not just whether it changes heart rate. In this case, the region of rejection is in one tail of the distribution.

A two-tail test is used when the research or null hypothesis does not specify the direction of the expected findings. For example, a researcher might be testing whether a drug has an effect on heart rate, not specifically whether it increases or decreases heart rate. In this case, the region of rejection is in both tails of the distribution.

So, the one or two tail test will determine both if the hypothesis has one or possible two conclusions (depending on whether the direction of the expected findings is specified or not), and if the region of rejection is located in one or two tails of the distribution (again, depending on whether the direction of the expected findings is specified or not).

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The correct answer is D. Both If the hypothesis has one or possible two conclusions & If the region of rejection is located in one or two tails of the distribution.

Here's why:

A one-tail test is used when the research or null hypothesis specifies the direction of the expected findings. For example, a researcher might be testing whether a drug increases heart rate, not just whether it changes heart rate. In this case, the region of rejection is in one tail of the distribution.

A two-tail test is used when the research or null hypothesis does not specify the direction of the expected findings. For example, a researcher might be testing whether a drug has an effect on heart rate, not specifically whether it increases or decreases heart rate. In this case, the region of rejection is in both tails of the distribution.

So, the one or two tail test will determine both if the hypothesis has one or possible two conclusions (depending on whether the direction of the expected findings is specified or not), and if the region of rejection is located in one or two tails of the distribution (again, depending on whether the direction of the expected findings is specified or not).

Knowee AI · Accepted Answer

The correct answer is D. Both If the hypothesis has one or possible two conclusions & If the region of rejection is located in one or two tails of the distribution.

Here's why:

A one-tail test is used when the research or null hypothesis specifies the direction of the expected findings. For example, a researcher might be testing whether a drug increases heart rate, not just whether it changes heart rate. In this case, the region of rejection is in one tail of the distribution.

A two-tail test is used when the research or null hypothesis does not specify the direction of the expected findings. For example, a researcher might be testing whether a drug has an effect on heart rate, not specifically whether it increases or decreases heart rate. In this case, the region of rejection is in both tails of the distribution.

So, the one or two tail test will determine both if the hypothesis has one or possible two conclusions (depending on whether the direction of the expected findings is specified or not), and if the region of rejection is located in one or two tails of the distribution (again, depending on whether the direction of the expected findings is specified or not).

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