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Questions and Answers
A null hypothesis states that there is a significant statistical difference between the measure of A and B.
A null hypothesis states that there is a significant statistical difference between the measure of A and B.
False
The cut-off point for deciding to accept or reject the null hypothesis is the probability value (1-β).
The cut-off point for deciding to accept or reject the null hypothesis is the probability value (1-β).
False
In hard sciences, the alpha level is usually relatively high, such as 0.1 or 0.2.
In hard sciences, the alpha level is usually relatively high, such as 0.1 or 0.2.
False
Type 1 error occurs when the researcher accepts the hypothesis when in fact it should be rejected.
Type 1 error occurs when the researcher accepts the hypothesis when in fact it should be rejected.
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A well-formed hypothesis is usually presented in the 'alternative' form.
A well-formed hypothesis is usually presented in the 'alternative' form.
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If the probability value (p) is small, it indicates that the null hypothesis is likely true.
If the probability value (p) is small, it indicates that the null hypothesis is likely true.
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The probability of committing a type 1 error is always equal to the alpha level (α).
The probability of committing a type 1 error is always equal to the alpha level (α).
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Setting α=0 can help avoid all type 1 errors.
Setting α=0 can help avoid all type 1 errors.
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Increasing the rigor of research can help reduce both type 1 and type 2 errors.
Increasing the rigor of research can help reduce both type 1 and type 2 errors.
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Chi-square test is used to determine differences in population means.
Chi-square test is used to determine differences in population means.
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Pearson Correlation Test can help determine if there is a linear relationship between two variables.
Pearson Correlation Test can help determine if there is a linear relationship between two variables.
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A pre-existing variable is under the control of the researcher.
A pre-existing variable is under the control of the researcher.
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In experimental research, subjects are assigned to groups without bias.
In experimental research, subjects are assigned to groups without bias.
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It is easy to conduct a true experiment in computer science.
It is easy to conduct a true experiment in computer science.
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Setting up higher constraint empirical research is recommended when possible.
Setting up higher constraint empirical research is recommended when possible.
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Type 1 and Type 2 errors are related to testing hypotheses.
Type 1 and Type 2 errors are related to testing hypotheses.
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The goal of scientific research is to find proof for claims made.
The goal of scientific research is to find proof for claims made.
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