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In Canada,consensus Exists About What Should Be Taught at All

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True/False

In Canada,consensus exists about what should be taught at all levels of education.


Definitions:

Type I Error

A Type I Error occurs when a true null hypothesis is incorrectly rejected, often referred to as a "false positive."

Type II Error

A statistical error made when failing to reject a false null hypothesis, also known as a false negative.

Null Hypothesis

is a default hypothesis that there is no significant difference or effect.

Alternative Hypothesis

The alternative hypothesis proposes that there is a statistically significant difference between data sets or effects, contrary to the null hypothesis.

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