Can you help me understand? I think I know the null and alternative hypothesis, but that's all. It's the final set of data at the end (Hypothesis Test for the Difference Between Two Population Means)...I included the data from all the previous steps that have been completed. Any help would be appreciated. In general, how is hypothesis testing used to test claims about the differencebetween two population means?

Summarize the steps of the hypothesis test. This includes:

1. Null Hypothesis (statistical notation and its description in words)
2. Alternative Hypothesis (statistical notation and its description in words)
3. Level of Significance

game_id year_id fran_id pts opp_pts elo_n opp_elo_n game_location game_result O 199511030CHI 1996 Bulls 105 91 1598.2924 1531.7449 H W 199511040CHI |1996 Bulls 107 85 1604.3940 1458.6415 H N N 199511070CHI 1996 Bulls 117 108 1605.7983 1310.9349 H W 199511090CLE 1996 Bulls 106 88 1618.8701 1452.8268 A W 199511110CHI 1996 Bulls 10 106 1621. 1591 1490.2861 H W printed only the first five observations. .. Number of rows in the dataset = 246 game_id year_id fran_id pts opp_pts elo_n opp_elo_n game_location game_result 0 201210300LAL 2013 Mavericks 199 91 1533.9297 1541.7585 A 1 201210310UTA 2013 Mavericks 94 113 1523.3170 1542.9183 A 2 201211030DAL 2013 Mavericks 126 1526.5341 1244.5778 H W 3 201211050DAL 2013 Mavericks 114 91 1536.0272 1465.3466 H W 201211070DAL 2013 Mavericks 109 104 1538.8840 1429.1904 H W printed only the first five observations. . . Number of rows in the dataset = 246 Mean Relative Skill of your team in the years 2013 to 2015 - 1551.46 Hypothesis Test for the Population Mean Test Statistic = 64.36 P-value = 0.0 Points scored by your team for the years 2013-2015 = 103.73 Hypothesis Test for the Population Mean Test Statistic = -3.02 P-value = 0.0028 Proportion of games won by your team when scoring more than 102 points in the years 2013 to 2015 = 0.7464 Hypothesis Test for the Population Proportion Test Statistic = 0.0 P-value = 1.0 Hypothesis Test for the Difference Between Two Population Means The management of the Dallas Mavericks wants to compare the team with the assigned team (the Bulls in 1996-1998). They claim that the skill level of the Dallas Mavericks in 2013-2015 is the same as the skill level of the Bulls in 1996 to 1998. In other words, the mean relative skill level of the Dallas Mavericks in 2013 to 2015 is the same as the mean relative skill level of the Bulls in 1996-1998. Test this claim using a 1% level of significance. Assume that the population standard deviation is unknown. - Mean Relative Skill of the Bulls in the years 1996 to 1998 = 1739.8 - Mean Relative Skill of the Dallas Mavericks in the years 2013 to 2015 = 1551.46 Hypothesis Test for the Difference Between Two Population Means Test Statistic = 40.55 P-value = 0.0 Can you explain the following to me for the above Hypothesis Test for the Difference Between Two Population Means? I have included the data from the previous steps. In general, how is hypothesis testing used to test claims about the difference between two population means? Summarize the steps of the hypothesis test. This includes: a. Null Hypothesis (statistical notation and its description in words) 5 Alternative Hypothesis (statistical notation and its description in words) C. Level of Significance