1. Define the null and alternative hypotheses in mathematical terms as well as in words.
2. Identify the level of significance.
3. Include the test statistic and the P-value. (Note that Python methods return two tailed P-values. You must report the correct P-value based on the alternative hypothesis.)
4. Provide a conclusion and interpretation of the test: Should the null hypothesis be rejected? Why or why not?

Here is my data:

Diameters data frame of the first sample (showing only the first five observations)

diameters 0 2.08 1 2.27 2 2.46 3 1.82 4 2.98

Diameters data frame of the second sample (showing only the first five observations) diameters 0 2.13 1 3.39 2 2.15 3 1.73 4 2.74

Counts Python list that is assigned the number of observations in each sample with diameter values less than 2.20.

n Python list that is assigned the total number of observations in each sample.

test-statistic = 0.0 two tailed p-value = 1.0