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Approximate the area under the curve and above the x-axis using n rectangles. Let the height of each rectangle be given
by the value of the function at the right side of the rectangle.
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Null Hypothesis
A statistical hypothesis that assumes no significant difference or effect exists among the variables being studied.
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.
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