The mean defines the average of all the observations. In this data set the average value of 252 person's body fat value is 18.89. Whereas the weight average of Silver's gym people is 178.90. The average value of weight is high because of high value. Median
First data are ranked in ascending order then finding the middle value which cuts the distribution exactly half is the median value. In body fat the median value is 19 and in the weight data set the median value is 176.5, because the values are even, that's why it is in fraction.
Standard Deviations
It defines the variability in data set.7.765 is the variation in body fat whereas 29.386 is the variation noted in weight data set.
Range
Range can be finding by subtracting the maximum value to the minimum value in data set. According to the data set 95% body fat means is in between the range of 3.4% and 34.4%.The weight of approximately 95% person Silver's gym peoples is between 120.1 to 237 pounds.
Central tendency
The concept of central tendency is important in real life. Measures of central tendency endeavor to measure what we signify when we calculate the average in any data set. It provides rapid answering of any data of observations. The most topnotch central tendency measures are mean, median and mode.
Mean
It is arithmetic mean of every variable, which can easily identify by ay adding all the data observations and then divided by the total numbers of observations.
Median
Median of an observation is the value that cuts the data in half. It is also known as the 50th percentile the data set. We have two types of formula for identifying the median value.
When we have odd data set, and then arrange the data first ...