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i. Two types of possible errors always exist when testing hypotheses-a Type I error, in which the
Null hypothesis is rejected when it should not have been rejected, and a Type II error in which the
Null hypothesis is not rejected when it should have been rejected.
ii. A test statistic is a value determined from sample information collected to test the null hypothesis.
iii. If we do not reject the null hypothesis based on sample evidence, we have proven beyond doubt
That the null hypothesis is true.
Previous Year
The year immediately before the current year, often referenced in discussions of past events or analyses of trends.
Negative Interference
A phenomenon where one set of learning interferes negatively with the performance or acquisition of another set.
Relearning
The process of learning information, skills, or behaviors again, which typically occurs faster than the initial learning.
Measures Retention
The process of assessing and quantifying the degree to which information, skills, or behaviors are maintained over time.
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