Statistical Analysis

Running Head : STATISTICAL ANALYSIS

Statistical Analysis for Health and Income

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It is important that the relationship between health and income be studied because it poses an important question of whether impact really has a significant impact on the determination of an individual 's health condition . It is a directional approach where income is considered to be an independent variable and health to be the dependent variable . By being such , health is not considered to

be an affect of income but is the other way around where income is listed as a factor of health ?people in the second-highest income group have higher mortality than those in the highest those in the third-highest have worse health than those in the second-highest (p . 16 . This considers the fact that according to literature , there is definitely a relationship between the variables of income and health . There is a direct relationship where the higher the income an individual derives , the health condition of the individual also becomes better

In to have a deeper understanding of the argument with regard to the direct relationship between health and income , it is important to analyze the data gathered from 53 respondents . These 53 respondents are made to answer a questionnaire consisting of two parts : the data survey and the ranking survey . Both surveys intend to gather self-perceptions and opinion , which can be considered as a self-rating done in review of their own health and income facets . Thus , these are subjective answers that are considered from the end of the respondents and no objective measures are provided

As mentioned earlier , there are two types of survey . The data survey consists of questions regarding their personal information (name , rank date of deployment , age , and residence , job before deployment , job during deployment , income before deployment income after deployment , level of physical fitness before deployment level of physical fitness after deployment , diet before deployment , and diet after deployment

On the other hand , the ranking survey consisted of questions with regard to their perceived level of income change , diet improvement change in terms of the level of physical fitness , time spent for exercise before and during deployment , number of days spent per week for exercise before and during deployment , weight lost or gained during deployment , motivation to engage in physical fitness activities before and during deployment , and available time spent for exercise before and during deployment

Responses are taken from 53 respondents in the [organization /nature of organization] . Their responses are analyzed using statistical software Statistical Package for the Social Sciences (SPSS ) version 13 .0

The following are analyzed

General statistics with regard to the pre-deployment and deployment factors that include income before and during deployment , level of physical fitness before and during deployment , diet before and during deployment , time spent working out before and during deployment , number of days per week spent exercising before and during deployment motivation to...