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In a standard Normal distribution the range of values of Z is from?
Wiki User
∙ 15y ago
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.
Wiki User
∙ 15y ago
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What makes the range less desirable than the standard deviation as a measure of dispersion?
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.
How many standard deviations is needed to capture 75 percent of data?
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.
Is the range of outcomes infinite in normal distribution?
1
Normal distribution is finite?
The domain is infinite but the range is finite.
What is the application of normal distribution curve in quality control?
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.
What makes the range less desirable than the standard deviation as a measure of dispersion?
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.
How many standard deviations is needed to capture 75 percent of data?
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.
How do you find the interquartile range when given the mean and standard deviation?
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.
The mean plus or minus the standard deviation for a normal distribution provides a probability range of what percent?
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
Is the uniform probability distribution's standard deviation proportional to the distribution's range?
no
Is the range in distribution ever smaller than standard deviation in a distribution?
No.
Why does Values are outside the normal range indicate disease?
Values outside of the normal range always indicates the presence of disease?
Is the range of outcomes infinite in normal distribution?
1
Is the standard normal curve is between Z -3.00 and Z 3.00?
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.
Which graph shows spread and range of all values in a set of individual data values?
A distribution function or a cumulative distribution function. The spread and range are also immediately apparent from a box [and whiskers] plot.
What is normal PDW range?
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.
How do you find the semi-interquartile range with only the mean and standard deviation?
In general, you cannot. If the distribution can be assumed to be Gaussian [Normal] then you could use z-scores.
