0
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.
What else can I help you with?
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.
How is probability related to the area under the normal curve?
The Normal curve is a graph of the probability density function of the standard normal distribution and, as is the case with any continuous random variable (RV), the probability that the RV takes a value in a given range is given by the integral of the function between the two limits. In other words, it is the area under the curve between those two values.
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.
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
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.
Code for gaussian distribution in matlab?
To create a Gaussian distribution in MATLAB, you can use the normpdf function to compute the probability density function. Here's a simple example: mu = 0; % Mean sigma = 1; % Standard deviation x = -5:0.1:5; % Range of x values y = normpdf(x, mu, sigma); % Compute Gaussian values plot(x, y); % Plot the Gaussian distribution title('Gaussian Distribution'); xlabel('x'); ylabel('Probability Density'); This code sets up a standard normal distribution centered at 0 with a standard deviation of 1 and plots it.
What is the length and width of distribution?
In statistics, the length and width of a distribution typically refer to the range and spread of data. The "length" can be associated with the range, which is the difference between the maximum and minimum values in a dataset. The "width" often corresponds to measures of variability, such as the standard deviation or interquartile range, indicating how spread out the values are around the mean. Together, these measures help to characterize the shape and spread of the distribution.
Is the range in distribution ever smaller than standard deviation in a distribution?
No.
Is the uniform probability distribution's standard deviation proportional to the distribution's range?
no
How do you describe distribution?
Distribution refers to the way in which values or data points are spread or arranged across a range. It can be characterized by its shape (e.g., normal, skewed), central tendency (mean, median, mode), and variability (range, variance, standard deviation). Understanding distribution is crucial in statistics as it helps to interpret data, identify patterns, and make predictions. Visualization tools like histograms or box plots are often used to illustrate the distribution of data.
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.
Is the range of outcomes infinite in normal distribution?
1
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.
