Measure of Central Tendency

Measures of Central Tendency

Attendance numbers according to our data facility has a positive skew loadeding that the notices of commutation disposal like the mean, median(prenominal) and mode croupe tell a pretty good picture of what is going on in terms of statistics. A positive skew authority that the mean is close to the median. We could use a single measure of primordial dip to tell the story of the attention numbers. This representation that I can use the average or the mode and some(prenominal) numbers leave alone represent the distribution almost the same. The histogram will look like this

In the case of the players salaries, the histogram has a large positive skewness compared to the attention numbers. This means the the mean is a lot higher hence the median thus giving us a histogram that looks like this

this means that we would need a lot more measures of central tendency to truly get what this histogram is telling us. Because if we used one measure like for example the mean, it would not represent well the finished distribution because the mean is a lot higher hence the median and a lot more variant then the mode or any other measure of central tendency.



We would need as many measures as we can make it up with to understand what the information is telling us in relationship to our question. We want to understand the relationship between players salaries and the attendance numbers but we cannot on the button compare the mean of salaries to that of the attendance numbers and make a decision because the histogram for the players salaries show a genuinely skewed distribution and we cannot rely on just one measure of central tendency. The mode of salary is very different then the mean of salary for the players and very different then the median as well so we put one over to utilize as many measures of central tendencies as we can to get a better scope of the information in relation to our questions.If you want to get a full essay, outrank it on our website: Orderessay



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