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Georgia Lofts Email: georgialofts@gmail.com

Total Article : 164

About Me:I am a final year student studying BioMedical Science. I am interested in a wide range of topics but particularly like to focus on Biology, Pharmaceuticals, Chemistry, Art, Philosophy and Ethics.

How to write an Abstract How to write a scientific abstract

An example Abstract

Sex differences in coagulation and packed cell volume in a group of undergraduates at a British University

Abstract

A standardized examination of packed cell volume (PCV) and international normalised ratio (INR) is used for testing cell count and coagulation parameters. The objective of this study is to examine whether there is a significant difference between male and female PCV and INR to determine whether the null hypothesis can be rejected. Haematology is concerned with studying blood. PCV values measure the proportion of blood that is made up of cells. INR values show how long the blood takes to clot. 132 students took blood samples through pricking fingers using Unistick lancets, the blood was taken up into a microhaematocrit tube to then be centrifuged. PCV values were calculated from samples. INR meters were used to show INR values of finger prick blood samples. For PCV values, a statistical test that used the measurements to compare the differences between two groups is required. A two-sample t- test is performed to determine whether the two populations means are equal. The assumption is made that the two populations have equal variances. For INR values, a non- parametric alternative test is required to test the sample means as the assumptions of the t- test are not met. A Mann-Whitney U test is performed to demonstrate whether INR means in both populations are equal. The null hypothesis states that there is no significant difference in the means of both sample populations. An alternative hypothesis is that there is a significant difference in the means of sample populations. For PCV samples, the F test statistic is 1.95, thus the assumption of equal variances is satisfied. For PCV values, the t test statistic is 2.96 and the P value is 0.0033, therefore the null hypothesis is rejected and the alternative hypothesis is accepted at the 0.05 significance level. For INR values, the p value is 0.20766 and so the null hypothesis can be accepted as there is a significant difference detected at the 0.05 significance level. To conclude there is a difference in PCV means and there is not a significant difference in INR values between male and female sample populations at this University.  