Answer:
a =1
Step-by-step explanation:
2(a+7)-7=9
Add 7 to each side
2(a+7)-7+7=9+7
2(a+7)=16
Divide by 2
a+7 = 16/2
a +7 = 8
Subtract 7
a+7-7 = 8-7
a = 1
Answer: x = 101.75
Step-by-step explanation:
Hi, to answer this question we have to solve the equation give, by isolating x:
8x-4 = 810
The first step is to Add 4 on both sides:
8x-4+4 = 810+4
8x = 814
Then we have to divide both sides by 8:
8x/8 = 814/8
Finally, the solution is:
x = 101.75
Feel free to ask for more if needed or if you did not understand something.
Notes before we start:
Semi-monthly means you get paid twice a week. We will find out the net pay in 2 weeks to see how much pays better.
Explanation:
Job A pays $15 an hour and whoever is working works 40 hours a week. We can multiply to find how much he/she earns in 2 weeks.
15 * 40 * 2 = $1,200
Job B pays $1,375 semi monthly which means that he/she got paid that much money in 2 weeks.
Answer:
Job B pays better.
Best of Luck!
Cos x = -12/13
sin x = -sqrt(13^2 - 12^2) / 13 = -5/13
tan x = 5/12
tan x/2 = (1 - cos x) / sin x = 1 - (-12/13) / -5/13 = 25/13 * -13/5 = -5
2sin^2 x/2 = 1 - cos x = 1 - (-12/13) = 25/13
sin^2 x/2 = 25/13 / 2 = 25/26
sin x/2 = 5/√26
sin x/2 / cos x/2 = tan x/2
cos x/2 = sin x/2 / tan x/2 = 5/√26 / -5 = -1/√26
sin x/2 = 5/√26
cos x/2 = -1/√26
tan x/2 = -5
Answer:
The confidence interval for a population mean proportion mean should be constructed because the variable of interest is time to complete the round, which is a quantitative variable.
Step-by-step explanation:
A researcher with a golf association obtained a random sample of 25 rounds of golf on a Saturday morning and recorded the time it took to complete the round.
Time is the number of hours, so it is mean, and not proportion.
Variable of interest is time to complete the round, and since it is measured in hours it is a quantitative variable.
The answer is:
The confidence interval for a population mean proportion mean should be constructed because the variable of interest is time to complete the round, which is a quantitative variable.
