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What else can I help you with?
How do you assess if data is normally distributed?
The easiest way to tell if data is normally distributed is to plot the data.line plot apex
How do you interpret a KSL or Kolmogorov-Smirnov-Lilliefors test?
If the test result is significant (Lower than or equal to 0.05) = The data is not normally distributed... If the test result is not significant (Higher than 0.05) = The data is normally distributed... This synchronize with the Statistical Hypothesis Assumption (Ho and Ha) Ho means "Nothing Happen" and Ha means "Something Happen" then for KSL and Shapiro Wilk test of normality assumption also.... If the test result reject Ha and accept Ho means "NOTHING HAPPEN" to data or the data is normally distributed but if the result reject Ho and accept Ha means "SOMETHING HAPPEN" to data or in this case the data is NOT normally distributed. Dr.Tanarat Thiengkamol (send2nude@gmail.com)
If a particular batch of data is approximately normally distributed you would find that approximately?
d. All the above.
Why is it important to know if the data is from a normally distributed population when calculating the mean?
Why wood u say that because that .
What are the most appropriate measures of center and spread for this data set?
The most appropriate measures of center for a data set depend on its distribution. If the data is normally distributed, the mean is a suitable measure of center; however, if the data is skewed or contains outliers, the median is more appropriate. For measures of spread, the standard deviation is ideal for normally distributed data, while the interquartile range (IQR) is better for skewed data or when outliers are present, as it focuses on the middle 50% of the data.
How do you assess if data is normally distributed?
The easiest way to tell if data is normally distributed is to plot the data.line plot apex
What are the different types of distributed data processing?
distributed data services examples
What are the best statistics to use for data that is normally distributed?
The mean and standard deviation. If the data really are normally distributed, all other statistics are redundant.
Is a type of data that is likely to be normally distributed?
The means of repeated samples from any population.
Why do population follow normal distribution?
The form of this question incorportates a false premise. The premise is that the data are normally distributed. Actually, is the sample mean which, under certain circumstances, is normally distributed.
What should a well-constructed histogram reveal to you?
Whether or not the data are normally distributed and the Customer expectations.
What must be true about data in order to use the tools of the normal curve?
it must be normally distributed
How do you interpret a KSL or Kolmogorov-Smirnov-Lilliefors test?
If the test result is significant (Lower than or equal to 0.05) = The data is not normally distributed... If the test result is not significant (Higher than 0.05) = The data is normally distributed... This synchronize with the Statistical Hypothesis Assumption (Ho and Ha) Ho means "Nothing Happen" and Ha means "Something Happen" then for KSL and Shapiro Wilk test of normality assumption also.... If the test result reject Ha and accept Ho means "NOTHING HAPPEN" to data or the data is normally distributed but if the result reject Ho and accept Ha means "SOMETHING HAPPEN" to data or in this case the data is NOT normally distributed. Dr.Tanarat Thiengkamol (send2nude@gmail.com)
Why is it important to know if the data is from a normally distributed population when calculating the mean?
Why wood u say that because that .
If a particular batch of data is approximately normally distributed you would find that approximately?
d. All the above.
What are the most appropriate measures of center and spread for this data set?
The most appropriate measures of center for a data set depend on its distribution. If the data is normally distributed, the mean is a suitable measure of center; however, if the data is skewed or contains outliers, the median is more appropriate. For measures of spread, the standard deviation is ideal for normally distributed data, while the interquartile range (IQR) is better for skewed data or when outliers are present, as it focuses on the middle 50% of the data.
What does it mean when data is normally distributed?
It means that the data are distributed according to a probability distribution function known as the normal distribution. This site is useless for showing most mathematical functions but you can Google "normal distribution" to get more details.
