Step-by-step explanation:
check the above images..
18.5 hours
To solve this problem, you first need to figure out the average amount of money per hour the worker earns.
That would be the base salary plus the average tips per hour. So
$6 + $12 = $18
Then to figure out how many hours the worker needs to work, divide the goal by the hourly earnings. So
$333 / $18 = 18.5 hours.
Therefore on average, it will take 18.5 hours to earn $333, assuming a
base salary of $6/hour and an average of $12 in tips per hour.
Answer:
254 4/7 or 254.34 ft² (it depends on which method you use.)
Step-by-step explanation:
To find the area of a circle, the formula is πr².
I'll use both 22/7 and 3.14 as pi, so I'll end up with two different answers. Just choose the more reliable one.
22/7 version:
22/7 * 9^2
22/7 * 81/1
1782/7
254 4/7 ft²
3.14 version:
3.14 * 9^2
3.14 * 81
314 - (3.14 * 19)
314 - 62.8 + 3.14
251.2 + 3.14
254.34 ft²
As I said, I ended up with two different answers. You also had said not to round my answer, so the 22/7 version has a mixed number.
1/2(4+X)+2=16
2+(0.5 x X) + 2 = 16
4 + (0.5 x X) = 16
0.5 x X = 12
X = 24
idk if u understand my working out - message me if u dont
hope it helped tho :)
Answer:
The probability that a person will get 17 or more right, if the person is truly guessing, is about 12.9%.
The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.
Step-by-step explanation:
The system of hypothesis fo this case are:
Null hypothesis: 
Alternative hypothesis: 
That's a upper right tailed test.
The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.
And this value allows to reject or not the null hypothesis.
If 
we reject the null hypotheis at the significance level. That indicates strong evidence against the null hypothesis, so you reject the null hypothesis.
If 
then we say that we fail to reject the null hypothesis at the significance level. That indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.
