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At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of Null Hypothesis (H0). Which of the following decisions of the researcher will be deemed appropriate?
- a)Rejecting the (H0) and also the substantive research hypothesis
- b)Rejecting the (H0) and accepting the substantive research hypothesis
- c)Rejecting the (H0) without taking any decision on the substantive research hypothesis
- d)Accepting the (H0) and rejecting the substantive research hypothesis
Correct answer is option 'B'. Can you explain this answer?
Verified Answer
At the stage of data analysis in which quantitative techniques have be...
The null hypothesis is the standard method for supporting the substantive research hypothesis. Like any hypothesis, a substantive hypothesis is about the relation between two or more variables. It is called “substantive” because it has not yet been operationalized. An operational hypothesis phrased to show the manipulating and measuring the variables.
- H0 (null hypothesis): A tentative assumption is made about the parameter. This assumption is called the null hypothesis and is denoted by H0 (null hypothesis).
- H1 (alternate hypothesis): An alternative hypothesis (denoted by H1), which is the opposite of what is stated in the null hypothesis.
The hypothesis-testing procedure involves using sample data to determine whether or not H0 can be rejected. If H0 is rejected, the statistical conclusion is that the alternative hypothesis H1 is true. If the null hypothesis is rejected, that is taken as evidence in favor of the research hypothesis which is called the alternative hypothesis (denoted by H1).
At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of the Null Hypothesis (H0). Here, the decision of the researcher which is deemed to be appropriate will be Rejecting the (H0) and accepting the substantive research hypothesis
- The above statement is true in the context of the testing of a hypothesis as It is only the null hypothesis, that can be tested.
- To test the null hypothesis, a researcher uses ANOVA method of research
- At the data-analysis stage, a null hypothesis is used to find out the maintainability of the research hypothesis.
Most Upvoted Answer
At the stage of data analysis in which quantitative techniques have be...
Answer:
The appropriate decision for a researcher at the stage of data analysis, where quantitative techniques have been used and the evidence warrants the rejection of the Null Hypothesis (H0), is to reject the Null Hypothesis (H0) and accept the substantive research hypothesis. This decision is represented by option 'B'.
Explanation:
To understand why option 'B' is the appropriate decision, let's break down the different options:
a) Rejecting the (H0) and also the substantive research hypothesis: This decision implies rejecting both the Null Hypothesis (H0) and the substantive research hypothesis. However, if the researcher has used quantitative techniques and the evidence supports the rejection of the Null Hypothesis (H0), it means that there is enough statistical evidence to suggest that the alternative hypothesis (substantive research hypothesis) is true. Therefore, rejecting the substantive research hypothesis along with the Null Hypothesis (H0) would not be appropriate.
b) Rejecting the (H0) and accepting the substantive research hypothesis: This decision reflects the appropriate response. When the evidence supports the rejection of the Null Hypothesis (H0), it implies that there is enough statistical evidence to suggest that the alternative hypothesis (substantive research hypothesis) is true. Therefore, accepting the substantive research hypothesis is the appropriate decision in this context.
c) Rejecting the (H0) without taking any decision on the substantive research hypothesis: This decision would not be appropriate because it would leave the researcher in a state of uncertainty. If the evidence supports the rejection of the Null Hypothesis (H0), it is essential to make a decision about the substantive research hypothesis based on that evidence.
d) Accepting the (H0) and rejecting the substantive research hypothesis: This decision would also not be appropriate because if the evidence supports the rejection of the Null Hypothesis (H0), it means that there is enough statistical evidence to suggest that the alternative hypothesis (substantive research hypothesis) is true. Therefore, accepting the Null Hypothesis (H0) and rejecting the substantive research hypothesis would contradict the evidence.
In conclusion, option 'B' is the appropriate decision for a researcher at the stage of data analysis when the evidence supports the rejection of the Null Hypothesis (H0). It implies rejecting the Null Hypothesis (H0) and accepting the substantive research hypothesis based on the statistical evidence.
The appropriate decision for a researcher at the stage of data analysis, where quantitative techniques have been used and the evidence warrants the rejection of the Null Hypothesis (H0), is to reject the Null Hypothesis (H0) and accept the substantive research hypothesis. This decision is represented by option 'B'.
Explanation:
To understand why option 'B' is the appropriate decision, let's break down the different options:
a) Rejecting the (H0) and also the substantive research hypothesis: This decision implies rejecting both the Null Hypothesis (H0) and the substantive research hypothesis. However, if the researcher has used quantitative techniques and the evidence supports the rejection of the Null Hypothesis (H0), it means that there is enough statistical evidence to suggest that the alternative hypothesis (substantive research hypothesis) is true. Therefore, rejecting the substantive research hypothesis along with the Null Hypothesis (H0) would not be appropriate.
b) Rejecting the (H0) and accepting the substantive research hypothesis: This decision reflects the appropriate response. When the evidence supports the rejection of the Null Hypothesis (H0), it implies that there is enough statistical evidence to suggest that the alternative hypothesis (substantive research hypothesis) is true. Therefore, accepting the substantive research hypothesis is the appropriate decision in this context.
c) Rejecting the (H0) without taking any decision on the substantive research hypothesis: This decision would not be appropriate because it would leave the researcher in a state of uncertainty. If the evidence supports the rejection of the Null Hypothesis (H0), it is essential to make a decision about the substantive research hypothesis based on that evidence.
d) Accepting the (H0) and rejecting the substantive research hypothesis: This decision would also not be appropriate because if the evidence supports the rejection of the Null Hypothesis (H0), it means that there is enough statistical evidence to suggest that the alternative hypothesis (substantive research hypothesis) is true. Therefore, accepting the Null Hypothesis (H0) and rejecting the substantive research hypothesis would contradict the evidence.
In conclusion, option 'B' is the appropriate decision for a researcher at the stage of data analysis when the evidence supports the rejection of the Null Hypothesis (H0). It implies rejecting the Null Hypothesis (H0) and accepting the substantive research hypothesis based on the statistical evidence.
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Community Answer
At the stage of data analysis in which quantitative techniques have be...
The null hypothesis is the standard method for supporting the substantive research hypothesis. Like any hypothesis, a substantive hypothesis is about the relation between two or more variables. It is called “substantive” because it has not yet been operationalized. An operational hypothesis phrased to show the manipulating and measuring the variables.
- H0 (null hypothesis): A tentative assumption is made about the parameter. This assumption is called the null hypothesis and is denoted by H0 (null hypothesis).
- H1 (alternate hypothesis): An alternative hypothesis (denoted by H1), which is the opposite of what is stated in the null hypothesis.
The hypothesis-testing procedure involves using sample data to determine whether or not H0 can be rejected. If H0 is rejected, the statistical conclusion is that the alternative hypothesis H1 is true. If the null hypothesis is rejected, that is taken as evidence in favor of the research hypothesis which is called the alternative hypothesis (denoted by H1).
At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of the Null Hypothesis (H0). Here, the decision of the researcher which is deemed to be appropriate will be Rejecting the (H0) and accepting the substantive research hypothesis
- The above statement is true in the context of the testing of a hypothesis as It is only the null hypothesis, that can be tested.
- To test the null hypothesis, a researcher uses ANOVA method of research
- At the data-analysis stage, a null hypothesis is used to find out the maintainability of the research hypothesis.
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At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of Null Hypothesis (H0). Which of the following decisions of the researcher will be deemed appropriate?a)Rejecting the (H0) and also the substantive research hypothesisb)Rejecting the (H0) and accepting the substantive research hypothesisc)Rejecting the (H0) without taking any decision on the substantive research hypothesisd)Accepting the (H0) and rejecting the substantive research hypothesisCorrect answer is option 'B'. Can you explain this answer? for SAT 2026 is part of SAT preparation. The Question and answers have been prepared according to the SAT exam syllabus. Information about At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of Null Hypothesis (H0). Which of the following decisions of the researcher will be deemed appropriate?a)Rejecting the (H0) and also the substantive research hypothesisb)Rejecting the (H0) and accepting the substantive research hypothesisc)Rejecting the (H0) without taking any decision on the substantive research hypothesisd)Accepting the (H0) and rejecting the substantive research hypothesisCorrect answer is option 'B'. Can you explain this answer? covers all topics & solutions for SAT 2026 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of Null Hypothesis (H0). Which of the following decisions of the researcher will be deemed appropriate?a)Rejecting the (H0) and also the substantive research hypothesisb)Rejecting the (H0) and accepting the substantive research hypothesisc)Rejecting the (H0) without taking any decision on the substantive research hypothesisd)Accepting the (H0) and rejecting the substantive research hypothesisCorrect answer is option 'B'. Can you explain this answer?.
At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of Null Hypothesis (H0). Which of the following decisions of the researcher will be deemed appropriate?a)Rejecting the (H0) and also the substantive research hypothesisb)Rejecting the (H0) and accepting the substantive research hypothesisc)Rejecting the (H0) without taking any decision on the substantive research hypothesisd)Accepting the (H0) and rejecting the substantive research hypothesisCorrect answer is option 'B'. Can you explain this answer? for SAT 2026 is part of SAT preparation. The Question and answers have been prepared according to the SAT exam syllabus. Information about At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of Null Hypothesis (H0). Which of the following decisions of the researcher will be deemed appropriate?a)Rejecting the (H0) and also the substantive research hypothesisb)Rejecting the (H0) and accepting the substantive research hypothesisc)Rejecting the (H0) without taking any decision on the substantive research hypothesisd)Accepting the (H0) and rejecting the substantive research hypothesisCorrect answer is option 'B'. Can you explain this answer? covers all topics & solutions for SAT 2026 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for At the stage of data analysis in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of Null Hypothesis (H0). Which of the following decisions of the researcher will be deemed appropriate?a)Rejecting the (H0) and also the substantive research hypothesisb)Rejecting the (H0) and accepting the substantive research hypothesisc)Rejecting the (H0) without taking any decision on the substantive research hypothesisd)Accepting the (H0) and rejecting the substantive research hypothesisCorrect answer is option 'B'. Can you explain this answer?.
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