IBM SPSS Analysis

IBM SPSS Statistics

Relationship between Happiness and Age

According to the survey, three general happiness categories itself in terms of three section, that is very happy, pretty happy and not too happy. We have a data in which 435 Peoples are grouped in very happy section. Out of total population of first group, all are very happy except one. The percentage of this group is 99.8% out of 100%, only 0.2% is not very happy. They must be happy but there will be some problem affected their comforts level.

The second group is pretty happy where 797 is the total population of those people who are pretty happy. 99.9% people are satisfied with their statement where as 0.1% are unsatisfied because of their problems. The last group that is not too happy group, in which 157 peoples are listed, peoples is highly satisfied with the full percentage. They are not happy because of their age factors or some other problems. The relationship between happiness and age is like that, happiness is not based on age, it depends on you either you will be happy or not. Comfort level and the tensions are the highly influential factors, if you have a control on that then you can be happy at any age.



Descriptive Statistics

Boxplots of Age for the Three Groups

Assumption of Normality

There is no equality in the variance s because of their variations, there is not any outlier we had found in the data, the trend path is approximately follows the normal distribution. Equality of the variances is not equal in all the groups. The data is changed in the entire group, normality assumptions is also changed. No outliers are found in three section of the general happiness group. Values of the data are approximately inside the specification. That's why the trend ...