Step 5: Hypothesis Test for the Population Proportion Suppose the management claims that the proportion of games that your team wins when scoring 102 or more points is 0.90. Test this claim using a 5% level of significance. Make the following edits to the code block below: 1. Replace ??COUNT_VAR?? with the variable name that represents the number of games won when your team scores over 102 points. (Hint: this variable is in the code block below). 2. Replace ??NOBS_VAR?? with the variable name that represents the total number of games when your team scores over 102 points. (Hint: this variable is in the code block below). 3. Replace ??NULL_HYPOTHESIS_VALUE?? with the proportion under the null hypothesis. After you are done with your edits, click the block of code below and hit the Run button above. : roportion import proportions_ztest ur_team_df[ (your_team_df[ 'pts' ] > 102) ] en your team scores over 102 points 02_df['game_resu1t' == 'W').sum() when your team scores over 102 points 102_df['game_result']) es won by your team when scoring more than 102 points in the years 2013 to 2015 =", round(p,4)) = proportions_ztest(counts, nobs, 0 .90, prop_var=0 .90) or the Population Proportion") , round(test_statistic, 2)) (p_value,4)) Proportion of games won by your team when scoring more than 102 points in the years 2013 to 2 015 = 0.8922 Hypothesis Test for the Population Proportion Test Statistic = -0.26 PValue = 0.7917 5. Hypothesis Test for the Population Proportion Suppose the management claims that the proportion of games that your team wins when scoring 102 or more points is 0.90. You tested this claim using a 5% level of sign icance. Explain the steps you took to test this problem and interpret your results. See Step 5 in the Python script to address thefollowing items: I In general, how is hypothesis testing used to test claims about a population proportion? 0 Summarize all important steps of the hypothesis test. Ihis 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 aformatted table as shown below: Table 4: Hypothesis Test for the Population Proportion Statistic *Round off to 2 decimal laces. W *Round off to 4 decimal laces. g. Conclusion of the hypothesis test and its interpretation based on the Pvalue 0 What are the implications ofyourfindingsom this hypothesis test? What is its practical significance