Answer:
9 cans of white paint
Step-by-step explanation:
To solve this you can set up a ratio.
The ratio right now is 3 : 2, you have 3 cans of white paint for every 2 cans of blue paint. This question is asking how many white paint cans would be needed for 6 cans of blue paint. You can see the relationship between the number of blue paint cans and the new number of blue paint cans, maybe it's multiplying by 4 or 2 for example, and once we find that out we can do the same exact thing to the white cans.
We can see that to get from 2 to 6 you multiply by 3, so now we do that to the other side of the fraction as well, we multiply by 3. 3 multiplied by 3 is 9, so if we were to have 6 cans of blue paint we would need 9 cans of white paint to get that perfect shade of light blue. Anne would need 9 cans of white paint if she had 6 cans of blue paint to make her shade of blue.
Multiply each price by the discount into a decimal (move the decimal place over 2 on the percents) then subtract that from the regular price and that's sale price
Answer:
Step-by-step explanation:
Distance = speed × time
A car from Alphaville to Betaville is moving at a speed of sixty-two miles per hour. This means that after two and a half hours, the distance that this car would have covered is
62 × 2.5 = 155 miles
Another car from Betaville to Alphaville is moving at a speed of fifty-seven miles per hour. This means that after two and a half hours, the distance that this car would have covered is
57 × 2.5 = 142.5 miles
A and B represents Alphaville and Betaville as well as the first and second cars. The total distance covered by both cars is
155 + 142.5 = 297.5 miles
The distance between both cars after two and a half hours is
725 - 297.5 = 427.5 miles
<span>0.053
The standard deviation of a binomial variable is
sqrt(n*P*(1-P))
where n is the sample size and P is the probability of one of the outcomes.
The sample size is 55 and we'll assume that both male and female are equally likely outcomes.
standard deviation = sqrt(55*.5*.5) = 3.7081%
44% is 1.6181 standard deviations away from the mean of 50%.
Looking this up on a standard deviation chart gives .0526 probability which we'll round to 0.053</span>
