Answer:
Given
Per Kg of body mass, there is 3 gram of potassium
And abundance of three isotopes are as follows
Potassium-39, Potassium-40, and Potassium-41. Have abundances respectively as 93.26%, 0.012% and 6.728%.
1) A body weighing 80 Kg will have 240 grams of potassium. And the amount of Potassium-40 will be 0.012% of 240 gram
= 240*0.012/100 = 0.0288 gram.
2) Dose in (Gy) = (energy absorbed)/(mass of the body) = ( 1.1*106*1.6*10-19)/(80) = 22*10-10 J/kg
Dose (in siverts) = RBE*Dose(in Gy) = 1.2*22*10-10 = 26.4*10-10
Answer:
The correct answer to this question: Evaluation of evidence should be based solely upon study design:____, would be: false.
Explanation:
According to research done on the topic, there are many other issues that must be taken into account when evaluating the results of a research study, be it clinical, or in the field, and not simply study design. Study design allows the evaluators to assess the style, the form, and the way in which the study was carried out to reach results, but evaluating results, the evidence gathered only based on how the study was designed would be wrong. This evidence evaluation should focus primarily on how the intervention worked on a certain study, and whether it was carried out in such a way that would yield the proper results, without bias.
Answer:
This Is false,they are not called cramps.
I love statistics So I will use The principles of it
![\begin{cases}\\ \dag \: \underline{\Large\bf Formulas\:of\:Statistics} \\ \\ \bigstar \: \underline{\rm Mean:} \\ \\ \bullet\sf M=\dfrac {\Sigma x}{n} \\ \bullet\sf M=a+\dfrac {\Sigma fy}{\Sigma f} \\ \\ \bullet\sf M=A +\dfrac {\Sigma fy^i}{\Sigma f}\times c \\ \\ \bigstar \: \underline{\rm Median :} \\ \\ \bullet\sf M_d=\dfrac {n+1}{2} \:\left[\because n\:is\:odd\:number\right] \\ \bullet\sf M_d=\dfrac {1}{2}\left (\dfrac {n}{2}+\dfrac {n}{2}+1\right)\:\left[\because n\:is\:even\:number\right] \\ \\ \bullet\sf M_d=l+\dfrac {m-c}{f}\times i \\ \\ \bigstar \: {\boxed{\sf M_0=3M_d-2M}}\end {cases}](https://tex.z-dn.net/?f=%20%5Cbegin%7Bcases%7D%5C%5C%20%20%5Cdag%20%5C%3A%20%5Cunderline%7B%5CLarge%5Cbf%20Formulas%5C%3Aof%5C%3AStatistics%7D%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%5Cunderline%7B%5Crm%20Mean%3A%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M%3D%5Cdfrac%20%7B%5CSigma%20x%7D%7Bn%7D%20%5C%5C%20%5Cbullet%5Csf%20M%3Da%2B%5Cdfrac%20%7B%5CSigma%20fy%7D%7B%5CSigma%20f%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M%3DA%20%2B%5Cdfrac%20%7B%5CSigma%20fy%5Ei%7D%7B%5CSigma%20f%7D%5Ctimes%20c%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%5Cunderline%7B%5Crm%20Median%20%3A%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M_d%3D%5Cdfrac%20%7Bn%2B1%7D%7B2%7D%20%5C%3A%5Cleft%5B%5Cbecause%20n%5C%3Ais%5C%3Aodd%5C%3Anumber%5Cright%5D%20%5C%5C%20%5Cbullet%5Csf%20M_d%3D%5Cdfrac%20%7B1%7D%7B2%7D%5Cleft%20%28%5Cdfrac%20%7Bn%7D%7B2%7D%2B%5Cdfrac%20%7Bn%7D%7B2%7D%2B1%5Cright%29%5C%3A%5Cleft%5B%5Cbecause%20n%5C%3Ais%5C%3Aeven%5C%3Anumber%5Cright%5D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M_d%3Dl%2B%5Cdfrac%20%7Bm-c%7D%7Bf%7D%5Ctimes%20i%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%7B%5Cboxed%7B%5Csf%20M_0%3D3M_d-2M%7D%7D%5Cend%20%7Bcases%7D)
