Analysis: Quantitative Analysis Characteristics

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Quantitative Analysis Exercise 340 questionnaires on health status and other socio-demographic characteristics were completed by respondents. Table 1 displays the socio-demographic characteristics of respondents. Table 2 depicts results of Mann Whitney U Test comparing Gender and Health Status. Table 1 Characteristics of study participants No (%) of respondents Sex (340) Male 99 (29.1) Female 240 (70.6) Smoking status (n=339) Current smokers 19 (5.6) Never smoke 278 (81.8) Ethnicity (n=339) White 198 (58.2) Mixed 9 (2.6) Black Caribbean 2 (.6) Black African 93 (27.4) Indian 7 (2.1) Pakistani 16 (4.7) Bangladeshi 1 (.3) Other 13 (3.8) Occupation (n=305) Occupation 1 5 (4.7) Occupation 2 50 (14.7) Occupation 3 61 (17.9) Occupation 4 59 (17.4) Occupation 5 16 (4.7) Occupation 6 8 (2.4) Occupation 7 18(5.3) Occupation 8 23 (6.8) Occupation 9 18 (5.3)…show more content…
The test showed χ2 of 1.66, 2 df and a p=value of 0.437 which does not show any statistical significance because it is > 0.05. Key Principles Health status in the scenario is an ordinal level of measurement. One cannot consider the intervals between categories to be equal or quantifiable (Trochim, 2000). Age as presented in the data set is a ratio level of measurement because it has an absolute or a true zero and a meaningful interval between values. A person can be described to have lived half the age of another person (Martin, 2008). Age could also be seen as a scale. Age can further be described as a discrete numerical variable. Gender is nominal because it has no ranking order and it is also a binary categorical variable because it has only two groups (male and female) (Trochim, 2000). Health status is ordinal. The manner in which levels are presented can not be quantified and are in order of magnitude. Differences between variables can not be regarded to be

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