To find the mean you have to get the average number found by adding all data points and dividing by the number of data points.
Example: The mean of 4, 1, and 7 is (4+1+7)/3 = 12/3 = 4
For median you have to get the middle number which is found by ordering all data points and picking out the one in the middle (or if there are two middle numbers, taking the mean of those two numbers).
Example: The median of 4, 1, and 7 is 4
because when the numbers are put in order (1, 4, 7) the number 4 is in the middle.
To get the mode you have to get the most frequent number which is, the number that occurs the highest number of times.
Example: The mode of {4,2,4,3,2,2} is 2 because it occurs three times, which is more than any other number.
Hope that helps.
Step-by-step explanation:
m < E = m < y
G I bisect < FGH
m < E = m < z ......Corresponding Position
EF |I Gl
< F = < z
< F = < y .............Alternatively
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Answer:
c. The Mean of Normal Distribution is related to the average of the data set. The Standard deviation is related to data variation.
Step-by-step explanation:
(a) No, mean don't tell us how much the data deviate from the average, Standard deviation tells us. So, Option (a) is incorrect.
(b) No, mean is greatly affected by extreme values. But Median is good to measure central tendency when there is outlier present in data. So, Option (b) is also incorrect.
(c) Here Mean and Standard deviation are correctly defined. Hence, this is only the correct answer.
(d) No, It is the definition of mean not of Standard Deviation. So, this option is also incorrect.
Further, Mean is used to measure the central tendency of data which represents the whole data in the best way. It can be found as the ratio of the sum of all the observations to the total number of observations.
