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, 2
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 wrote:
>
> On Sat, Oct 13, 2018 at 10:24 PM Oscar Benjam
On Sat, 13 Oct 2018 at 11:23, Mariam Haji 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
On Sat, Oct 13, 2018 at 11:32:09AM +0300, Mariam Haji wrote:
> 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?
That depends on the data set.
How is it distributed? There are dozens of likely distri
Hi guys,
I have a statistics question where I am to calculate the probability of a
sample dataset.
I have done the coding bit but I am not sure if I did the right thing, I
just need confirmation before I submit it.
the question is as:
If a sample of 50 patients is taken from a dataset what is th
On Fri, Mar 20, 2009 at 6:45 AM, Bala subramanian wrote:
> Dear python friends,
>
> someone kindly suggest me packages, modules and documentation resources
> (especially) to
>
> i) plot graphs using python.
>
matplotlib is excellent and probably the most popular
>
> ii) statistical analysis
Dear python friends,
someone kindly suggest me packages, modules and documentation resources
(especially) to
i) plot graphs using python.
ii) statistical analysis using python.
Thanks in advance,
Bala
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