This post is following of the above post.
In this post, I will do hypothesis test for one proportion. For Japan nuclear power plants proportion.
In the previous post, I found Japan nuclear power plants proportion is 0.111.
Now I set Null hypothesis as follows.
Null hypothesis: Japan nuclear power plants proportion is 0.16.
And Alternative hypothesis is as follows.
Alternative hypothesis: Japan nuclear power plants proportion is not 0.16.
I set alpha is 0.05( = 5%).
First, I make null distribution.
Then, let's visualize this null distribution.
Then, I visualize p-value.
Then, I use get_p_value() function to get p-value.
P-value is 0.0128, which is smaller than alpha(0.05), thus I reject Null hypothesis.
I can say Japan nuclear power plants proportion is not 0.16.
prop_test() function gets traditional(formula based) p-value.
I can also use prop.test() function.
p-value from prop.test() function is 0.01584, it is the same p-value from prop_test() function.
That's it. Thank you!
To read the 1st post,