Imagine that you are collecting data to determine what factors influence an individual's general satisfaction with life. You decide to examine several possible variables and measure the three aspects of life satisfaction. Collect the following data from nine individuals from diverse backgrounds (i.e., they should not all be family members or friends). The nine subjects should be equally distributed among the political affiliations, so you should have three Republicans, three Democrats, and three Independents/other.
Name (not the full name, to protect privacy)
Years of college
Hours worked per week
Satisfaction with job (on a scale of 1 to 10)
Satisfaction with income (on a scale of 1 to 10)
Satisfaction with the economy (on a scale of 1 to 10)
For each of the variables, manually calculate the mean, the median, the mode, the standard deviation, and the variance and interpret the data regarding any interesting trends observed. For example, if you find that there are more individuals who are happy with their jobs, other variables might be the contributing factors, such as how many hours they worked or how much money they made. You could then conclude that money can contribute to one's happiness! Look for as many trends as you can and come up with your own novel interpretations of why they occurred.
This solution is comprised of a detailed explanation of the use of Central Tendency as per the situation and question provided. A logical answer is given for every situation for better clarity on using the measure of central tendency.