Step 4: Hypothesis Test for the Population Mean (II) A team averaging 106 points is likely to do very well during the regular season. The coach of your team has hypothesized that your team scored at an average of less than 106 points in the years 2013-2015. Test this claim at a 1% level of significance. For this test, assume that the population standard deviation for relative skill level is unknown. You are to write this code block yourself. Use Step 3 to help you write this code block. Here is some information that will help you write this code block. Reach out to your instructor if you need help. 1. The dataframe for your team is called your_team_df. 2. The variable 'pts' represents the points scored by your team. 3. Calculate and print the mean points scored by your team during the years you picked. 4. Identify the mean score under the null hypothesis. You only have to identify this value and do not have to print it. (Hint: this is given in the problem statement) 5. Assuming that the population standard deviation is unknown, use Python methods to carry out the hypothesis test. 6. Calculate and print the test statistic rounded to two decimal places. 7. Calculate and print the Pvalue rounded to four decimal places. Write your code in the code block section below. After you are done, click this block of code and hit the Run button above. Reach out to your instructor if you need more help with this step. import sciyy.stats as st # Mean points scored by your team during the years 2013 to 2015 mean _pts _your_team = your_team_df[ 'pts' ] .mean() print("Mean points scored by your team during the years 2013 to 2015 =", round(mean_pts_your_team,2)) # Hypothesis Test test_statistic, p_va1ue = st.ttest_1samp(your_team_df[ 'pts'], 106) print("Hypothesis Test for the Population Mean") print("Test Statistic = , round(te5t_statistic,2)) print("Pvalue =", round(p_value,4)) Mean points scored by your team during the years 2013 to 2015 = 99.92 Hypothesis Test for the Population Mean Test statistic = 8.7 Pvalue = 0.0 4. Hypothesis Test for the Population Mean (II) Your team's coach has hypothesized that average number of points scored by your team in the team's years is less than 106 points. For this test, you assumed that the population standard deviation for points scored is unknown. You tested the claim using a 1% level of significance. Explain the steps you took to test this problem and interpret your results. See Step 4 in the Python script to address the following items: . Summarize all important steps of the hypothesis test. This includes: a. Null Hypothesis (statistical notation and its description in words) b. Alternative Hypothesis (statistical notation and its description in words) c. Level of Significance d. Report the Test Statistic and the P-value in a formatted table as shown below: Table 3: Hypothesis Test for the Population Mean (II) + Statistic Value Test Statistic -8.70 *Round off to 2 decimal places. P-value 0.0000 *Round off to 4 decimal places. f. Conclusion of the hypothesis test and its interpretation based on the P-value What are the implications of your findings from this hypothesis test? What is its practical significance