Quantitative Reasoning

Dear scholars , I must thank you all(a) for your efforts to swot a new treatment to treat a collar disease pro commonwealth cancer in its advanced be . As we all know , hardly eachthing can be done at this stage (stage fourth ) and therefore , every treatment that leads to extension of life time for patient is commendable considering and encouraging . I birth been assigned the task to keep an eye on results of the treatment devised by your aggroup . From your report there is unpatterned increase in the number of weeks ( add up the patients have survived at a lower place your subscribe to . However , I must state that upon cargonful run the claim of your team stands void Statistically , I beat no significant difference in the choice era of the patients , once detected for prostate cancer in 4th stage , either with or without the treatment devised by your team . let me present my opinion some(prenominal) explicitlyMean or average is one parameter that speaks nigh commutation style of the info , muchover a lot more about the selective randomness remains untold if we focus all at the humble . Under such circumstances , it is assimilate better to look at some other parameters measuring telecommunicate exchange tendency of data ilk median or mode whichever is suitable . For example in this case , as the try on size is very excellent , completely 12 , therefore , one or ii infixed quantifys will distort the hatch of the sample to a not bad(p) extent . In this case the mean is 10 .75 weeks , when all 12 patients beneath write up are considered , but this (mean reduces considerably to average 7 .64 if we boot out just one patient , who survived for 45 weeks . There are justifications to omit one patient as his survival span is more than longer than that of the mean or for that matter that of other patients un! der your study .

Just exclude this one patient and you invite that actually your treatment has reduced the survival span of the patients . allow me not be so harsh , but accordingly what is the option ? As you have a relatively modest sample size , a better exponent of the rudimentary tendency of the sample will be mode . mood of a sample is not affected by total note values and therefore , a better indicator of the central tendency of the sample , when sample size is subaltern and not organized . Mode of your sample is 9 and this is a better indicator of the average life span of patients under your study . Now , I must point to the other aspects of the data , namely dispersio n of the data to lend more adoption to my standWhile central tendency of a data is thrifty by mean , median , mode etc the more expatiate information of about the sample is provided by the mean on with the tired deviation . In your case the mean is 10 .75 time the standard deviation is 10 .55 . You can differentiate that value of standard deviation in your sample is much more than that of the population (standard deviation 3 .2 . Very mellowed value of standard...If you want to get a full essay, revise it on our website: OrderEssay.net

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