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MTLE Life Science (062, 063) Practice Tests & Test Prep by Exam Edge


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MTLE Life Science (9-12) Sample Test

1 of 5

Which of the following refers to the null hypothesis?





Correct Answer:
there are no differences between observed and expected data.
the correct answer to the question "which of the following refers to the null hypothesis?" is "there are no differences between observed and expected data."

the null hypothesis in statistical testing is a statement that suggests there is no significant difference between specified populations, any observed difference being due to sampling or experimental error. it serves as a starting assumption for statistical significance testing. the null hypothesis is typically denoted as h0 and is the hypothesis that the experimenter tries to disprove or reject.

in the context of the provided information, the null hypothesis example given is that placing half of the fish into a new tank will not change their feeding habits. this implies that any observed change in feeding habits in the experiment could potentially be due to random variations or other factors not controlled in the experiment, rather than the effect of changing the tank. the statement "there are no differences between observed and expected data" directly aligns with this concept, as it suggests there is no significant deviation from what was hypothesized under the null scenario.

the other answer options provided do not correctly represent the null hypothesis: - "the magnitude of the observed effect is zero" is related but does not explicitly define the null hypothesis. it suggests an outcome where the effect of the independent variable is nonexistent, which could be a result of the null hypothesis being true, but it doesn't encompass all types of null hypotheses. - "the experiment was a failure" and "the experiment proved the hypothesis" are both incorrect as they imply outcomes of the hypothesis testing. the null hypothesis itself is a neutral statement and does not imply success, failure, or proof of any hypothesis; it merely serves as a baseline statement to test against.

in summary, the null hypothesis is a fundamental concept in hypothesis testing used to assert that there is no significant effect or difference between groups or variables being studied. it is not a claim about the magnitude of effects, nor does it judge the success or failure of an experiment. instead, it is a standard against which the statistical evidence is tested to determine if an observed effect can be considered statistically significant.


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