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Investigation into the claims that sports drinks are effective

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Introduction

Aim: To investigate the claims that sports drinks are effective. Introduction: Sports drinks are used in times of need by athletes or anyone doing a sport. They are used instead of water because they rehydrate, as well as replenish electrolytes, sugar, and other nutrients, which can be in short supply after training or playing a sport. Companies marketing these products point out the fact that plain water can actually be toxic if consumed in large amounts. This can happen because over consumption of water reduces levels of electrolytes such as sodium and potassium in the body by dilution. I will investigate these claims using a well-known American sports drink called Gatorade and comparing it with water. Variables: Independent variable: The type of drink; water and sports drink. Dependant variable: The composition of the drinks: carbohydrates, potassium etc. Controlled variable: Amount of drink tested Results: Research shows that after activity, you lose carbohydrate and Potassium. ...read more.

Middle

the temperature of the enzyme in an investigation to find out the effect of temperature on enzyme activity Dependant Variable - The variable that you are measuring as a result of changing the independent variable e.g. the volume of CO2 produced Categoric Variable - One that is best described by a label (name), e.g. Colour of eyes is categoric. Discrete Variable - A variable with whole numbers e.g. number of leaves on a plant Ordered Variable - When you can order the data but not give it an actual number e.g. Height of plants / plants growing in the woodland are taller than those in on the open field Continuous Variable - One that we measure. Its value can be any number. E.g. temperature as measured by a thermometer. Control Variable - Variables that may change your results so they should be kept the same e.g. concentration of the enzyme in an investigation of the effect of temperature. ...read more.

Conclusion

Model - A description of a theory or theories that can suggest further ideas that can test those theories. Precision - Where your repeated results are very close to each other. This is related to the smallest scale division on the measuring instrument used. Random Error - Most likely to occur when a poor measurement has been made. It could also be if you have not carried out the method consistently Reliable - When you make sure other are able to get the same results as you, this makes your experiment reliable. Systematic Error - If the data is inaccurate in a constant way e.g. all results are 10mm more than they should be. This is often due to the method being routinely wrong Valid - Describes an investigation that successfully gathers the data needed to answer the original question. Valid Data - Evidence that can be reproduced by others and answers all the original questions. Zero Error - A systematic error, often due to the measuring instrument having an incorrect zero. E.g. forgetting that the end of the ruler is not at zero. ...read more.

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