Answer: A. Repeated results if the player makes 75% of his shots in the long run.
Step-by-step explanation:
The null distribution is always the opposite of the alternative distribution which in most cases represents the claim or hypothesis which is to be tested or performed. In the scenario given, the challenge is to show that a basketball player has an average higher than that of the NBA. NBA average stands at 75%. The alternative hypothesis is the claim, which is ;
H1 : μ > 75%
THE null is thus :
H0 : μ = 75% ; which means that repeated result of the player will yields an average of 75%
Hello the answer is of course 4,5,6
Answer:
Ryan's new employer has offered him a few insurance plans as part of his employee benefits package.
Step-by-step explanation:
Ryan is working as deputy manager in a company. He currently has salary and there are no additional benefits. He is currently having only health insurance. When he joins the new company he gets few insurance plans as part of employee benefit packages. This is additional benefits which attracts a candidate to join a company and it keeps the employees motivated.
Answer:
Step-by-step explanation:
Given
Winning Percentage = 0.444 repeating
Required
Represent as a fraction
Represent the percentage with x
Convert to fraction
Next step, is to convert to fraction repeating
To do this, we simply subtract 1 from the denominator
Simplify to the lowest term: Divide numerator and denominator by 37
Simplify to the lowest term: Divide numerator and denominator by 3
Hence;
There winning fraction is 
Answer:
The function has a negative leading coefficient and a maximum vertex point
Explanation:
This function's leading coefficient is determined by whether it is concave up or concave down, meaning it has an Up and Up end behavior for a positive leading coefficient and a Down and Down end behavior for a negative coefficient.
This function's end behavior is Down and Down, so it must have a negative leading coefficient.
The function has a minimum vertex when the function has a positive leading coefficient and a maximum vertex point when the function has a negative leading coefficient.
This means that the functions vertex is the highest or lowest possible value of the function (the rest of the function continues forever in whichever direction.
This particular function has a maximum vertex as there is no point above the vertex here and the function has a negative leading coefficient.
