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Scientific Report Writing

   

Added on  2022-12-28

18 Pages3255 Words21 Views
Scientific Report Writing
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ABSTRACT
The study summaries scientific analysis of body mass index and total TEE for both group as
well as connection with total energy expenditure is discussed. By performing T Test P values for
Group A and Group B in the context of BMI are determined which help to assess the actual
significance of data. Further the study comprises certain major methods like statistical analysis,
correlation etc. which clearly states the relationship between two group and also support in
determining the significance difference to better explore the relevance of study.
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Contents
ABSTRACT.....................................................................................................................................2
Contents...........................................................................................................................................3
Introduction and Aim.......................................................................................................................4
Methods and Discussion..................................................................................................................4
Conclusion.....................................................................................................................................12
REFERENCES..............................................................................................................................13
Appendix........................................................................................................................................14
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Introduction and Aim
The report consists of defining of methods, advancement as well as the actual outcomes
related with scientific research or actual question in order to make suitable changes to the
research problem which support in making decision. Total energy expenditure (TEE) consists of
several elements comprising physical activity energies expenditure (PAEE), resting
energies expenditure and resting metabolic rate (RMR) and thermal impact of food (TEF). The
potential to assess overall energy expenditure (TEE) as well as its elements is incredibly essential
in terms of energy balance therefore in lifestyle as well as health-related studies. TEE tests are
also important for the measurement of under-and over-reporting of energies consumption and for
the designing of experimental diets (Ndahimana and Kim, 2017). The study covers the
calculation of P values for contrast of measures among Group B versus Group A with the
addition of independent t-test. In addition, statistical analysis was carried out on all respondents
(Only participants 24 in Group-B as there are no-body masses related data with respect to these
participant).
In this study main objective is to estimate TEE, forecast RMR as well as to assess PAL. Aim
of study is to gather TEE through Physical-Activity Diaries as well as Compendium of different
Physical Activities. Moreover, study consist of prediction of RMR through applying most
appropriate RMR predictions equation.
Methods and Discussion
T-test to find out P values: A t-test is a form of statistical technique that is used to assess if
there is a substantial distinction between the 2 means that can be attributed to such
characteristics. It is often used whenever the sets of data work as expected that may have
unexplained variations, including the data set reported as the result of tossing a coin 100 times.
As just a hypothesis testing instrument, a t-test has been used, which facilitates validation of
even an inference specific to a population. The P-value methodology enables the possibility of
obtaining a "likely" or "unlikely" in the form of an alternative hypothesis to be determined, given
that perhaps the null hypothesis is true.
"improbable"unlikely"likely,"likely,"extreme"extreme"unlikely"unlikely.
P is often defined as denying H0, if it is real, but this is not clear possibility. Here, null
hypothesis becomes typically "no difference" hypertension, for example no difference among
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