# Python code to plot summary stats (mean) and std. deviation to understand p-values

System performance dataset for past 12 weeks (per hour per volume)

Would like to calculate p-values for quantitative variables plotting the mean and categorical variables plotting the proportion.

https://www.dropbox.com/sh/thz8fpyhenq416x/AABJZtjVAe6QV521mA-xvFHla?dl=0

Can you help with plotting the distribution of quantitative variables to understand t-distrubution and p-value (left, right, both tails)?

Also, can same with the plotting proportion for categorical ariables to understand t-distrubution and p-value (left, right, both tails)?

I am studying online and trying to apply the learning of normal / t-distribution concepts to real-world data. So, I need an expert that can define both the problem and understand the distribution too.

An example of hypothesis testing could be :
NULL Hypothesis = "Greater than 80% of the IOPS are occurring during 1:00am and 6:00am"
Alternate Hypothesis = "Less than 80% of the IOPS are occurring during 1:00am and 6:00am"

Habilidades: Python, Arquitetura de software, Estatísticas

( 2 comentários ) Blackburn South, Australia

ID do Projeto: #16056472

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