In the screen above, we are asked to create a for loop to generate samples of incremented sizes. One of the instruction is:
- To achieve that, you’ll need to increment the sample size by 29 for every new iteration. Note that you’ll first have to define the sample size with a value of 5 outside the loop.
While it’s a nice instruction, I find that you don’t have to
define the sample size with a value of 5 outside the loop.
In the for loop, all you need to do is increment sample size with
i is the iteration in the
mean = houses['SalePrice'].mean() sampling_error =  sample_range =  for i in range(101): sample_range.append(5+29*i) sample = houses['SalePrice'].sample(5+29*i, random_state = i) sample_mean = sample.mean() sampling_error.append(mean - sample_mean) plt.scatter(x = sample_range, y =sampling_error) plt.axhline(y = 0) plt.axvline(x = 2930) plt.xlabel('Sample size') plt.ylabel('Sampling error')
I know there are a lot of mathematics majors in this community, just thought I’d mention it.