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What serves as a standard of comparison to evaluate the effectof the independent variable on the dependent variable?
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∙ 9y ago
The control serves as the standard in a science experiment.
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∙ 9y ago
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What serve as a standard of comparison to evaluate the effects of the independent variable on the dependent variable?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What are some examples of evaluate?
Evaluate your choices before you make a decision.The doctor will evaluate the test results. She will evaluate our scores.
How do you write a conclusion in science fair?
Summarize your science fair project results in a few sentences and use this summary to support your conclusion. Include key facts from your background research to help explain your results as needed.State whether your results support or contradict your hypothesis. (Engineering & programming projects should state whether they met their design criteria.)If appropriate, state the relationship between the independent and dependent variable.Summarize and evaluate your experimental procedure, making comments about its success and effectiveness.Suggest changes in the experimental procedure (or design) and/or possibilities for further study.
5 Evaluate the following statement The term transcription is appropriate for describing the production of RNA and the term translation is appropriate for describing the synthesis of proteins?
To evaluate the following statement a person needs to know what the statement is. There is no way of being able to evaluate the statement if someone does not know what it is.
To evaluate the observations you make you must use?
a hypothesis
What serves as a standard of comparison to evaluate the effectof the independent variableon the dependent variable?
In statistics, the standard of comparison is the r2 which is a percentage that explains what percentage of the dependent variable can be accounted for by the independent variable.
What serves as a standard of comparison to evaluate the effect of the dependent variable on the dependent variable?
ControlThe answer will depend on the nature of the effect. IFseveral requirements are met (the effect is linear, the "errors" are independent and have the same variance across the set of values that the independent variable can take (homoscedasticity) then, and only then, a linear regression is a standard. All to often people use regression when the data do not warrant its use.
What serves as standard of comparison to evaluate effect of the independent variable on dependent variable?
The correlation coefficient, plus graphical methods to verify the validity of a linear relationship (which is what the correlation coefficient measures), and the appropriate tests of the statisitical significance of the correlation coefficient.
What serves as a comparison to evaluate the effect of the the independent variable on the dependent variable?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What as a standard of comparison to evaluate the effect of the independent variable on the dependent variable?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What serves as a standard of comparison to evaluate the effect of the independent variable on the dependent?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What serves as a standard of comparison to evaluate the effect of the independent variable on the dependent variable.?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What serves as standard of comparison to evaluate the effect of the the independent variable on the dependent variable?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What serves as a standard of comparison to evaluate the effect of the independent variable on a dependent variable?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What serve as a standard of comparison to evaluate the effects of the independent variable on the dependent variable?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What serves as a standard of comparison to evaluate the effect to the independent variable of the dependent variable?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
What serves as a standard of comparison to evaluate the effect of the independent variable on the the dependent variable?
There cannot be one since the answer depends on the form in which the effect is measured: whether the effect is qualitative or quantitative. There are various non-parametric measures of correlation or concordance. For data that are more quantitative there are more powerful tests such as the F-test for independent Normal distributions.
