crosshyou

主にクロス表(分割表)分析をしようかなと思いはじめましたが、あまりクロス表の分析はできず。R言語の練習ブログになっています。

OECD NEET Data Analysis 2 - 15_29_WOMEN NEET percentage is higher than MEN.

f:id:cross_hyou:20210926074352j:plain

Photo by Chris Briggs on Unsplash 

www.crosshyou.info

This post is following of above post.

There are many SUBJECTs, so let's focus 15_29 first. It is NEET percentage among 15_29 old young people.

Firstly, let's see a histogram.

f:id:cross_hyou:20210926075011p:plain

f:id:cross_hyou:20210926075059p:plain

There is a peak at around 14.

Let's see summary statistics.

f:id:cross_hyou:20210926075343p:plain

Mean is 15.276 and Median is 13.537. 

15_29 is divided to MEN and WOMEN.

Let's see them.

f:id:cross_hyou:20210926080619p:plain

f:id:cross_hyou:20210926080630p:plain

We see 15_29_WOMEN is higher than 15_29_MEN.

Let's see summary stats.

f:id:cross_hyou:20210926081230p:plain

15_29_MEN average is 12.0 while WOMEN average is 18.6.
Let's see this differnece is statistically significant.

We can do it with t-test.

f:id:cross_hyou:20210926081716p:plain

p-value is < 2.2e-16. So, 15_29_WOMEN is statistical significantly higher than 15_29_MEN.

That's it. Thank you!
Next post is

 

www.crosshyou.info

 



To read the 1st post,

 

www.crosshyou.info