It usually ranges from -3.1 to 3.1 and becomes very small ( the area below -3.1 or above 3.1). Some tables list from -3.6 to 3.6 . The area below -3.6 is 0.0002 and the area above 3.6 is also 0.0002. There is no exact answer to this question. The actual answer is (minus infinity to plus infinity), but the values become extremely small beow -3 or above 3.
Range can include outliers that are not normal values and can skew overall data. Most relevant values can be found within one or two standard deviations on a normal curve.
It depends on the shape of the distribution. For standard normal distribution, a two tailed range would be from -1.15 sd to + 1.15 sd.
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The domain is infinite but the range is finite.
If the underlying distribution of the product is normally distributed then (and only then) the normal distribution can be used to identify specimens that are outside the acceptable range.
Range can include outliers that are not normal values and can skew overall data. Most relevant values can be found within one or two standard deviations on a normal curve.
It depends on the shape of the distribution. For standard normal distribution, a two tailed range would be from -1.15 sd to + 1.15 sd.
In general you cannot. You will need to know more about the distribution of the variable - you cannot assume that the distribution is uniform or Normal.
in a normal distribution, the mean plus or minus one standard deviation covers 68.2% of the data. If you use two standard deviations, then you will cover approx. 95.5%, and three will earn you 99.7% coverage
No.
no
Your question is confusing. However, I will answer the following question, and if this is not your question, please re-submit What is the area under the standard normal curve for z = -3 to Z = 3? The standard normal has a mean of zero and standard deviation of 1. The answer is: 0.9973 This is the equivalent of saying the probability of Z in the range of -3 to +3 is 0.9973 and above 3 it is 0.0027/2 or 0.00135 and below -3 it is 0.00135. Values of the normal distribution can be found in the Internet and textbooks on statistics.
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The normal range for platelet distribution width (PDW) is typically between 9.0% and 17.0%. Values outside of this range may indicate certain medical conditions or abnormalities in platelet size distribution. It's important to interpret PDW levels in conjunction with other blood parameters and clinical findings for an accurate assessment.
A distribution function or a cumulative distribution function. The spread and range are also immediately apparent from a box [and whiskers] plot.
In general, you cannot. If the distribution can be assumed to be Gaussian [Normal] then you could use z-scores.
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