It would be A.
Have a great day:)
Answer: Hello your question is incomplete below is the complete question
In a large school district, 16 of 85 randomly selected high school seniors play a varsity sport. in the same district, 19 of 67 randomly selected high school juniors play a varsity sport. a 95 percent confidence interval for the difference between the proportion of high school seniors who play a varsity sport in the school district and high school juniors who play a varsity sport in the school district is to be calculated. What is the standard error of the difference
answer : 0.0695
Step-by-step explanation:
First step : Determine the sample proportions
For P1 = 16 / 85 = 0.188
For P2 = 19 / 67 = 0.284
Next determine the Standard error of the difference using the relation below
Standard Error = ------- ( 1 )
where : P1 = 0.188
P2 = 0.284
n1 = 85 high school seniors
n2 = 67 high school juniors
Input values into equation 1
Standard error of the difference = 0.0695
Answer:
Step-by-step explanation:
so multiply x by 6x and multipy 7 by 3 and theres ur answer
Step-by-step explanation:
(5√5)^(1-2x) = 1/5 * 125^(x-3)
(5^1.5)^(1-2x) = 5^(-1) * 125^x / 125^3
5^1.5 / 5^3x = 5^(-1) * 5^(3x) / 5^9
5^1.5 / 5^3x = 5^(3x) * 5^(-10)
5^(1.5 - 3x) = 5^(3x - 10)
=> 1.5 - 3x = 3x - 10
=> 6x = 11.5
=> x = 23/12.
Answer:
x≥26667
Step-by-step explanation:
let x= her sales
so the money she gets from her sales is .03x
if we wants at least 2900 we can write
2100+.03x≥2900
Solve for x
.03x≥800
x≥26666.6667
round up (because you can make a fraction of a sale) to get
x≥26667