SUMMARISING DATA.UNDERTAKING STATISTICAL TESTS. APPLIED MEDICAL Essay

SUMMARISING DATA.UNDERTAKING STATISTICAL TESTS. APPLIED MEDICAL STATISTICS - Essay Examplecategorized by 0 and 1 where 0 shows little or no throe and 1 shows severe or troublesome pain (Pain), Babys Birth cargo (kg) (babyweight), Age entered in categories where 1 shows under 25, 2 shows 25-29, 3 shows 30-34, 4 shows 35 and over(agecat), the patient had any previous children or not recorded as 1 and 0 where 1 shows yes and 0 shows no (prevChildren), Depression level that was also scaled where the highest number show worse depression (depression) while the become variable that was not included but was needed to be calculated for section B is weight gained during pregnancy in kgs calculated by subtracting Weight1 from Weight2. solely the statistics seem to lie within the normal range i.e., -2 to +2, thus it can be inferred that the habituated sample has somewhat symmetrical normal distribution. However, in the given case, the descriptive statistics for some variables seem meaningle ss including pain, idnum, agecat, prevChildren and depression and therefore not incorporated in the board provided. Section B B1. Hypothesis Testing In bless to explore the relationship between age and back pain, the following hypothesis was drawn. Ho There exists no association between back pain and age of patient H1 There exists an association between back pain and age of patient Since twain variables involved are ordinal, therefore in clubhouse to estimate a profound association between them, Chi-square test has been conducted on SPSS. The Chi squared test requires fulfilment of two assumptions. One of these require that both of the variables employed should be assessed at nominal level while the second requires that the independent variables should also be consisted of two or more independent groups (categorical). some(prenominal) of these assumptions have been met by our sample data. It appears that the highest percent of patients having severe back pain fall in the 2nd c ategory of age while most of the patients that be little or no pain were of age category 1. Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 8.657a 3 .034 Likelihood Ratio 8.758 3 .033 Linear-by-Linear Association 7.042 1 .008 N of reasoned Cases 170 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 8.68. The observed value of Chi-squared statistic is 8.657 with 3 degrees of freedom. Since the cross tabulation table involved 2 rows and 4 columns, the Pearson seems to be the suitable chi-squared statistic. From the above table, the p-value is found to be equal to 0.034 which is less than 0.05 significance level. This P- value suggests that we can reject the nada hypothesis indicating no association between back pain and agecategory. Therefore, it can be concluded that at 0.05 significance level, there exists a statistically significant relationship between back pain and age category of patient as stated under the alternate hypothesi s. B2. Hypothesis Testing In order to explore the association between weight gained throughout pregnancy and the absence or occurrence of back pain, the following hypothesis is drawn. Ho There