Answer:
The diameter of pool a is 10.37 (34 × 0.305)
Pool B is greater
The circumference of pool B is greater
The area of pool B is 65.7221183130984ft
The area of pool a is
32.5783158177261ft
65.7221183130984 - 32.5783158177261=
Pool Bs area is 33.143802ft² bigger
First one is -30p = 0 because distribute 5 to get 60 - 15p and its the same on both sides except for one sign.
second has infinite solutions because distributing gives 3y - 6 = 6y - 6 - 3y. Combine like terms to get 3y - 6 = 3y - 6. When the equation has a number equaling another number there are infinite solutions.
Third one is a = -2 because if you add 4a to both sides you get 7a + 21 = 7. Then subtract 21 from both sides to get 7a = -14. then divide by 2 to get the answer.
Answer: They played 25 games
Step-by-step explanation: If they had 15 wins and the total games they played is 60% then they lost 10 times and they played 25 games because if you divide 15 by 60 you get 0.25 so they played 25 games.
"In partial-quotients division, it takes several steps to find the quotient. At each step, you find a partial answer (called a partial quotient); then you find the product of the partial quotientand divisor and subtract it from the dividend. Finally, you add all the partial quotients to find the final quotient" Hope this helps : )
As a rule of thumb, when each component is selected independently from the same population, the sampling distribution of the sample percentage may be estimated by a regular probability distribution.
<h2>Why is it crucial to use the thumb rule?</h2>
- One of our primary, simple-to-learn ways to handle complexity is the rule of thumb. Real thumb rules take into account operating, security, and financial constraints.
- They inform us of the likely location of a practical solution. Additionally, they reveal which tactics are most prone to failure.
<h3>What is sampling distribution?</h3>
- A statistic that is obtained by sampled data from a bigger population is known as a sampling distribution.
- It depicts an array of potential results that may result from a statistic, such as the mean or mode of a certain parameter because there is really a population.
Therefore the main solution is- from the identical group, each component is individually chosen.
Learn more about sampling distribution here:
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