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. See Step 2 in the Python script. (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?

Just need the questions answered with the provided data below.

Diameters data frame of the first sample (showing only the first five observations) diameters 0 2.23 1 2.27 2 2.16 3 2.96 4 2.75 Diameters data frame of the second sample (showing only the first five observations) diameters 0 1.96 1 3.12 2 1.81 3 1.08 4 2.58 test-statistic = -1.47 two tailed p-value = 0.1422