Question about z-scores?
This is an example from my text book… after doing the calculations they get a z-score of -2.24.
And the explanation says: “By the 68-95-99.7 rule, I know that values more than 2 standard deviations below the mean of a Normal model show up less than 2.5% of the time.”
The tail area is .0125 and I know they multipled this by 2 to get .025… but why do you have to multiply it by 2?
THANKS
I know that there are 2 tails… but why are we finding the area of 2 tails??
Answered this before.
The statistic measures the area under the curve at one tail.
There are two tails one at the right and one at the left.
Because the normal curve is symmetric about its mean, and the two tails’ boundaries are equidistant from the mean, they are congruent.
Multiply by two to get the area under the curve of both tails.
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Used – The combination of the dietary intake research and the nutritional status assessment analyses provided an excellent, and possibly the first, example of the complimentary value of having data on both nutrient intakes and biochemical markers of status. The dietary data are important for estimating the prevalence of inadequate intakes of specific nutrients, and for identifying potential fortification vehicles (e.g. wheat flour), and the calculation of the impact of different levels of fortif
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Comparison of Plasma Biomarkers with Dietary Intake Assessment
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New – The combination of the dietary intake research and the nutritional status assessment analyses provided an excellent, and possibly the first, example of the complimentary value of having data on both nutrient intakes and biochemical markers of status. The dietary data are important for estimating the prevalence of inadequate intakes of specific nutrients, and for identifying potential fortification vehicles (e.g. wheat flour), and the calculation of the impact of different levels of fortifi
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Comparison of Plasma Biomarkers with Dietary Intake Assessment
$43.65
New – The combination of the dietary intake research and the nutritional status assessment analyses provided an excellent, and possibly the first, example of the complimentary value of having data on both nutrient intakes and biochemical markers of status. The dietary data are important for estimating the prevalence of inadequate intakes of specific nutrients, and for identifying potential fortification vehicles (e.g. wheat flour), and the calculation of the impact of different levels of fortifi
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