fathead
log 10 or square root your non parametric values
The data from a normal distribution are symmetric about its mean, not about zero. There is, therefore nothing strange about all the values being negative.
Non-continuous data is called discrete data.
It depends on what you want to test. Goodnesss of fit or some null hypothesis?
An example of a non-parametric test is the Mann-Whitney U test, which is used to compare two independent groups when the data do not necessarily follow a normal distribution. Unlike parametric tests that assume a specific distribution for the data, non-parametric tests are more flexible and can be applied to ordinal data or non-normally distributed interval data. The Mann-Whitney U test evaluates whether the ranks of the two groups differ significantly.
Standard deviation can be calculated using non-normal data, but isn't advised. You'll get abnormal results as the data isn't properly sorted, and the standard deviation will have a large window of accuracy.
Non-Gaussian data refers to data distributions that do not follow a Gaussian (normal) distribution, which is characterized by its bell-shaped curve. Instead, non-Gaussian data may exhibit skewness, kurtosis, or other properties that deviate from the normal distribution. Common examples of non-Gaussian data include financial returns, which can be skewed, and count data, which may follow a Poisson distribution. Analyzing non-Gaussian data often requires different statistical techniques than those used for Gaussian data.
log 10 or square root your non parametric values
The data from a normal distribution are symmetric about its mean, not about zero. There is, therefore nothing strange about all the values being negative.
BCNF, 3NF, 2NF, 1NF Non First Normal Form Both
Non-continuous data is called discrete data.
Non-continuous data is called discrete data.
tally 7.2 data convert into excel
It depends on what you want to test. Goodnesss of fit or some null hypothesis?
An example of a non-parametric test is the Mann-Whitney U test, which is used to compare two independent groups when the data do not necessarily follow a normal distribution. Unlike parametric tests that assume a specific distribution for the data, non-parametric tests are more flexible and can be applied to ordinal data or non-normally distributed interval data. The Mann-Whitney U test evaluates whether the ranks of the two groups differ significantly.
kill urself
A normal data set is a set of observations from a Gaussian distribution, which is also called the Normal distribution.