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What else can I help you with?
The mean median and mode are examples of what type of statistics?
descriptive statistics
What is an example of descriptive statistics?
Examples of descriptive statistics are mean, median, mode, and midrange.
What does sy mean in mathematics?
In statistics it could mean the sum of the values for the y-variable.
S1 s2 are finite sets If s1 equals n s2 equals m then prove that s1us2 equals n plus m?
It cannot be proven because it is not true. Suppose S1 = {0,1,2,3} and S2 = {0,5,10} then S1 u S2 = {0,1,2,3,5,10} then |S1| = n = 4, |S2| = m = 3 but |S1 u S2| = 6 which is NOT n+m = 7
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.
What does Sx2 mean in statistics?
In statistics, this is the symbol for the "Variance"
What are the differences of Pluto and earths gravity?
at pluto -- 0.61m/s2 at earth -- 9.8m/s2 mean u can have much high compared to earth
What are the importance of the mean in statistics?
the mean is important in statistics because you will find out your average and can compare that mean to other things..
What are the statistics on water-skiing?
What do you mean by statistics? Re-Ask the question.
The mean median and mode are examples of what type of statistics?
descriptive statistics
Do you round the mean in statistics?
no
Disadvantages of the mean in statistics?
the mean is affected by outliers
What does mean mean in statistics?
Mean is the average.
What is differ of mean?
Probability/ Statistics
What is an example of descriptive statistics?
Examples of descriptive statistics are mean, median, mode, and midrange.
What is a non resistant measure in statistics?
The mean is called a non-resistant measure in statistics.
How do you calculate distribution of sample means?
The sample mean is distributed with the same mean as the popualtion mean. If the popolation variance is s2 then the sample mean has a variance is s2/n. As n increases, the distribution of the sample mean gets closer to a Gaussian - ie Normal - distribution. This is the basis of the Central Limit Theorem which is important for hypothesis testing.
