• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

An investigation into the density of 'mock blood'

Extracts from this document...

Introduction

Chris Ellison An investigation into the density of 'mock blood' Sample A - blood taken from a normal healthy adult male who lives at sea level. Sample B - blood taken from the same male after six months of aerobic exercise. Sample C - blood taken from the same male after training for three months at altitude. Results Time taken for a drop of the sample to fall through 100cm3 of Copper (II) Sulphate Solution. Sample A (Seconds) Sample B (Seconds) Sample C (Seconds) 11.5 12.0 10.0 11.5 13.0 8.0 14.5 12.0 10.0 14.0 12.0 7.5 12.0 13.5 10.0 12.5 14.0 11.0 14.0 16.0 7.0 12.5 12.0 8.5 16.5 14.5 9.5 12.0 11.5 7.5 Mean 13.10 Mean 13.05 Mean 8.5 Now I am going to carry out some statistics on my results to find if they occurred by chance or not. I am going to use the t-test because I need to compare two sets of results that I collected. T-test tables Sample A x x-x (x-x)2 11.5 1.60 2.56 11.5 1.60 2.56 14.5 1.40 1.96 14.0 0.90 0.81 12.0 1.10 1.21 12.5 0.60 0.36 14.0 0.90 0.81 12.5 0.60 0.36 16.5 3.40 11.56 12.0 1.10 1.21 x = 13.10 ? ...read more.

Middle

It also means that is a greater than 0.1 chance that it occurred by chance. This makes sense as my research showed me that aerobic exercise only affects the heart and muscles not the density of the blood. Sample A compared with Sample C The P value for this t-test however is very different. The value was P<0.001, this means there is a difference and that this out come was not reached by chance. If you did this test again the same result would occur 99.9% of the time. Training at altitude can change the density of the blood. The kidney keeps a constant check on the oxygen in the blood as part of homeostasis and when they are low because you are at altitude a hormone is released. This hormone tells the bone marrow to produce more red blood cells. The more red blood cells in your blood the more dense it is and this showed up in our tests. Evaluation I believe that the experiment was accurate enough for the results needed to do our coursework. ...read more.

Conclusion

We used a stopwatch operated by us at eye level with the measuring cylinder. The size of the drop could not be measured either which meant we had variations in that too. The size of the drop would affect the surface area and therefore friction acting upon it; this would slow down the droplet. The shape that was usually a doughnut shape could also change. These are all reasons for my results to be anomalous. To counter some of these problems we could use other equipment or methods. We could use a light gate that works by detecting a break in a beam of light caused by a blob of mock blood falling through the solution. This would greatly improve the accuracy of the results, as would having two people to record and time the results. The main sources of error in the experiment were mainly human error in the fact that the person carrying out the experiment controlled the drop size and timing. Most of the time there weren't any problems with our techniques but errors were still made. ...read more.

The above preview is unformatted text

This student written piece of work is one of many that can be found in our AS and A Level Probability & Statistics section.

Found what you're looking for?

  • Start learning 29% faster today
  • 150,000+ documents available
  • Just £6.99 a month

Not the one? Search for your essay title...
  • Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

See related essaysSee related essays

Related AS and A Level Probability & Statistics essays

  1. Statistics coursework

    This appears to prove my hypothesis as the curve representing the girls' data is to the right of the curve representing the boys' data. It therefore is nearer the higher end of the total KS2 results scale suggesting girls have a higher total of KS2 results than boys.

  2. I am going to design and then carry out an experiment to test people's ...

    8 21 0 6 9 12.5 8 22 10 6 11 13 8 23 20 13 15 13.5 8 24 15 16 6 20 8 25 17.5 5 14 10 8 26 8.5 13 11.5 19.5 8 27 9 5 18 11 8 28 9 7 6 8 8 29

  1. Driving test

    The instructor's approach to the pupil can have a large result on a pupil's performance. I predict that for the majority of the instructors, males will perform better than females. This is because males in general, can be more outgoing and have more confidence than females.

  2. Throughout this experiment I have decided that I am going to investigate the tensile ...

    and therefore plot this on a graph and calculated young's modulus and study the graphs. I knew that I should plot these graphs because stress takes into account areas and strain takes into account lengths, therefore it would make sense to plot this graph as opposed to a mass extension graph or similar.

  1. &amp;quot;The lengths of lines are easier to guess than angles. Also, that year 11's ...

    To find this I multiplied the sizes of the groups, in this case 0.5 by the frequency density, 18, which gives 9, which was the highest frequency. And for the angle the most densely populated group was 45 - 51�.

  2. An Investigation Into An Aspect Of Human Variation.

    Hand span: The hand span was measured from the tip of the thumb to the tip of the little finger when the hand and fingers are stretched out flat on a surface. This measurement excluded any length of fingernails extending past the ends of the fingers.

  1. Development of Quantitative and Qualitative measures of Human Impact on Wimbledon Common.

    applicable to certain type of non-random distribution. This might prove useful in our situation where Wimbledon Common is managed to a great extent in terms of tree density and so on. The distance r to the nth nearest neighbour n>= 3 in each of k sectors at N points is measured.

  2. DATA HANDLING COURSEWORK

    I will use these graphs to predict what the weight or height of a student would be. I will use cumulative frequency graphs to make comparative generalised statements about heights and weights of students across all of the strata. The cumulative frequency graphs allow you to predict percentages of students within a given range.

  • Over 160,000 pieces
    of student written work
  • Annotated by
    experienced teachers
  • Ideas and feedback to
    improve your own work