A basketball coach claims that the team's players commit, on average, no more than 10 fouls per game. Let µ represent the team's average number of fouls per game. Another coach thinks that these players create more fouls.What is the null hypothesis, H0, for this situation?(B) u ≤ 10What is the alternative hypothesis, Ha, for this situation?(B) u > 10What type of significance test should be used for this situation?A right-tailed testThese are the correct answers but I don't know the explanations for them someone help me out

The null hypothesis, [tex]\rm H_{0}[/tex]  for  the given situation in the question, will be   [tex]\rm H_{0}:\mu\leq 10[/tex] What will be the null hypothesis for the given data?For finding the null hypotheses  we will follow the data given in the  question  The null hypothesis,  [tex]\rm H_{0}[/tex]  is the hypothesis of no difference and as such, it always has an equality sign;=, ≤, ≥In order to identify the null we lookout for specific keywords that will provide us with information on the type of inequality sign. In this situation, the coach claims that the average number of fouls committed per game is no more than 10. Since µ represents the team's average number of fouls per game, this statement can be written in mathematical symbols as;[tex]\mu\leq 10[/tex] That is [tex]\mu[/tex] is less than 10 and the average number of fouls committed per game is less than 10.This statement will be our null hypothesis since it contains an equality sign.[tex]\rm H_{0}:\mu\leq 10[/tex] Thus null hypothesis, [tex]\rm H_{0}[/tex]  for  the given situation in the question, will be   [tex]\rm H_{0}:\mu\leq 10[/tex] To know more about null hypotheses follow