0
What else can I help you with?
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 .
When a data set is normally distributed about how much of the data fall within two standard deviations of the mean?
In a normally distributed data set, approximately 95% of the data falls within two standard deviations of the mean. This is part of the empirical rule, which states that about 68% of the data falls within one standard deviation and about 99.7% falls within three standard deviations. Therefore, two standard deviations capture a significant majority of the data points.
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.
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.
What will the sampling distribution of the mean be if a population is normally distribution?
Also normally distributed.
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.
Is a type of data that is likely to be normally distributed?
The means of repeated samples from any population.
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
