From data in the table, one above, the category that has the highest frequency is the tertiary level of education while the category with the lowest frequency for the variable is the Less than lower secondary. This indicates that most of the retired individuals in the United States have a tertiary level of education while the least people have less than lower secondary education level.

The percentage that is most frequent from this data is the tertiary level of education which has a valid percentage of 41.7%. This indicates that a high percentage of the retired population in the US has a tertiary level of education. The least frequent percentage is the Less than lower secondary category.

From Table 2 above on distribution of whether currently working, the category that has the highest frequency is No. This indicates that the largest number of retired population in US is not currently employed.

The category with the highest valid percentage is No, with a valid percentage of 66.7%. The indication of this is that a high percentage of the total retired individuals in the United States are not currently employed.

The table above presents results of data analysis on Self reported health. From the results of the analysis, the category with the highest frequency is fair. This indicates that the majority of the US retirees feel that their health is fair. This followed by the frequency of those who felt that their condition of health is poor. Since the majority of the respondents indicates poor and fair, it shows that the United States retirees have no good health.

The category that as the highest valid percentage is fair with 41.67%.The implication of this is that a high percentage of those who have retired in the United States is fair.  Remarkably few people indicated that their health was good or excellence as shown by a valid percentage of 8.3% of the total study population.

From the above bar graph of whether currently working for pay, the tallest bar is No. This indicates that most of the individuals who have retired are either not employed or they are working in voluntary organizations whether they are not paid. This variable does not indicate the extent of variation of the categories. It’s not possible to tell the mean, median or mode of the variable.

From the bar graph above on the education level, the tallest bar is the for tertiary category while the shortest bar is for less than lower secondary. This indicates that the majority of individuals in the retired population of the US have a tertiary level of education. From the bar graph, the variable does not tell how low, high or moderate it is. This is because this is an ordinal data and can not tell the numerical difference in measurements but only ranks the data.

The tallest bar from figure 3 above is on fair, which indicates that the majority of the retired population feel that their health is just fair. This variable does not tell the extent of dispersion between the categories as it has ordinal data, and can not be quantified numerically to show the moderate, low or high variations.

From Figure 4 above on histogram of age, the tallest bar is for a class of 65.5-66.5. This indicates that the majority of the retired population are 65.5-66.5 years old. The variable shows a high dispersion as indicated by the standard deviation of 1.314. The data is skewed left.

From the histogram above, the tallest bar is of class 9.5-20.5. The data shows a high dispersion as indicated by the difference in the height of bars and a high standard deviation of 14.791. The mean for the data is 35.67. In average, the retired population in the United States is profoundly depressed as indicated by mean cesd score of 35.67.