[Tutor] Statistics with python
Mariam Haji
mariamhaji01 at gmail.com
Mon Oct 15 22:38:05 EDT 2018
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.benjamin at 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 <mariamhaji01 at gmail.com> wrote:
> >
> > On Sat, Oct 13, 2018 at 10:24 PM Oscar Benjamin <
> oscar.j.benjamin at gmail.com> wrote:
> >>
> >> On Sat, 13 Oct 2018 at 11:23, Mariam Haji <mariamhaji01 at 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
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--
*Regards,*
*Mariam.*
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