Can you help me understand? I think I know the null and alternative hypothesis, but that's all. 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

- 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