Hi, I think this makes more sense to me to get the std. I will go with this route since there is a number of age groups and not just 56. Thanks guys for all your help.
>>> import numpy >>> ages = [35, 45, 55, 70] >>> numpy.mean(ages) 51.25 >>> numpy.std(ages) 12.93010054098575 On Sun, Oct 14, 2018 at 1:20 PM Oscar Benjamin <oscar.j.benja...@gmail.com> wrote: > I'm replying back to the tutor list. Can you reply there rather than > directly to me please? > > Also I've moved your response below mine as that is the preferred > style on this list. My answer is below. > > On Sun, 14 Oct 2018 at 16:05, Mariam Haji <mariamhaj...@gmail.com> wrote: > > > > On Sat, Oct 13, 2018 at 10:24 PM Oscar Benjamin < > oscar.j.benja...@gmail.com> wrote: > >> > >> On Sat, 13 Oct 2018 at 11:23, Mariam Haji <mariamhaj...@gmail.com> > wrote: > >> > > >> > Hi guys, > >> > >> Hi Mariam > >> > >> > the question is as: > >> > If a sample of 50 patients is taken from a dataset what is the > probability > >> > that we will get a patient above the age of 56? > >> > >> I can think of several ways of interpreting this: > >> > >> (a): You have a dataset consisting of 50 patients. You want to know > >> the probability that a patient chosen from that sample will be above > >> the age of 56. > >> > >> (b): You have a dataset consisting of 50 patients. You consider it to > >> be representative of a larger population of people. You would like to > >> use your dataset to estimate the probability that a patient chosen > >> from the larger population will be above the age of 56. > >> > >> (c): You have a larger dataset consisting of more than 50 patients. > >> You want to know that probability that a sample of 50 patients chosen > >> from the larger dataset will contain at least (or exactly?) one person > >> above the age of 56. > >> > >> (d): You have a larger dataset, but you will only analyse a sample of > >> 50 patients from it. You want to use statistics on that sample to > >> estimate the probability that a patient chosen from the larger dataset > >> will be above the age of 56. > >> > >> I can list more interpretations but I think it would be better to wait > >> for you to clarify. > > > > My dataset consists of 300+ patients and I want to analyze analyse a > sample of 50 patients from it. > > Yto know the probability that a patient chosen from the larger dataset > > will be above the age of 56. > > Is this a homework problem or an actual problem? > > If I had 300+ patients I would think that the best way to work out the > probability that a patient chosen from those 300+ was over the age of > 56 would be to count how many are over the age of 56. Likewise if I > wanted to estimate how many would be over the age of 56 using a > smaller sample of 50 patients then I would also just count how many > are over the age of 56 in that smaller sample. > > I'm going to guess that this is a homework problem and that you have > been asked to assume that the ages are normally distributed (which > they would not be in reality). > > Your calculation for the standard deviation given in your earlier > email doesn't make any sense. You should calculate this using a > function that calculates the standard deviation. There is one in the > numpy module: > > >>> import numpy > >>> ages = [35, 45, 55, 70] > >>> numpy.mean(ages) > 51.25 > >>> numpy.std(ages) > 12.93010054098575 > > -- > Oscar > _______________________________________________ > Tutor maillist - Tutor@python.org > To unsubscribe or change subscription options: > https://mail.python.org/mailman/listinfo/tutor > -- *Regards,* *Mariam.* _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
