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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.
Is it true that the mean of a normally distributed variable can be any real number?
no
What if you have a mean standardized score of 1500 points with a standard deviation of 150 points this data is normally distributed What is the z score of 1650?
The z score is (1650-1500)/150 = 150/150 = 1
What are some causes of skewed data distributions?
The cause of skewed data distributions are extreme values, also know as outliers. For example imagine taking the weights of people you see on the street. If you have 9 cheerleaders' weights and then the weight of a sumo wrestler mixed into the averages this skews the data. This makes the mean much higher because of the one extreme value. Instead of the data being distributed normally, it is distributed with a positive skew. If there is a really small extreme value instead of a really large one, then the data has a negative skew. This could be the heights of people on the street, but one of them would be a midget. The mean is made lower by that one extreme value. Perhaps, little person is a more politically correct term in our day.
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.
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
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.
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 .
Can any set of normally distributed data be transformed to its standarized form?
Yes. The transform is z= (x-xbar)/s where x is the data value, xbar is the mean of the data and s is the standard deviation.
In a normally distributed data set which is greater mean median or mode?
In a normal distribution the mean, median and mode are all the same value.
What will the sampling distribution of the mean be if a population is normally distribution?
Also normally distributed.
Is a type of data that is likely to be normally distributed?
The means of repeated samples from any population.
What must be true about data in order to use the tools of the normal curve?
it must be normally distributed
What should a well-constructed histogram reveal to you?
Whether or not the data are normally distributed and the Customer expectations.
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.
