Lets focus on what we know first. Natalie can pick 135 Berries in 15 minutes. Lets find out how many berries she can pick per minute.
In order to do so, We have to divide 135 by 15.
135/15=9
This means that Natalie can pick 9 berries per minute. Given that we want her to pick 486, we will need to divide that number by 9 berries to find out how many minutes it will take to get her to that number of berries.
486/9=54
This means that it will take Natalie 54 minutes in order to pick 486 berries.
The correct answer is 70.4 :)
Let's start off with some basics to get you familiar with the term remainder.
7 / 3 = 2.333r or 2 remainder 1, because 3 fits into 7 twice, with 1 left over.
7/4 = 1 remainder 3
8/4 = 2 remainder 0, however we don't say remainder 0, we just say '2'.
So 860 / 14 = 61.428 (3DP). We can then multiply 61 by 14, and that difference will be the remainder.
14* 61 = 854.
860 - 854 = 6.
The remainder of <em>860 divided by 14</em> is 6
The answer would be C corresponding
Answer:
Following are the responses to the given question:
Step-by-step explanation:
In the first example, a team walks into a bar & chooses the random person to speak, in which situation, the woman who walks to the club has made a choice, he has selected a people with and who he wants to speak, it is a subjective preference. A choice cannot be random in statistical since it has a subjective preference. The first interpretation may therefore be randomized in general, but not arbitrary in statistics.
In the second example, i.e., the definition of Building tracks Example, a randomized wood piece is an identical piece or is different in size from other pieces. In this, piece wood has been differentiated by one's looks so, when asked to pick a random piece, we are likely to choose a non-uniform part rather than the uniform one. It is a random racial bias, so again in constructing pursuits the second definition could be random, but not a discrete one in stats.
In the identification numbers of random, we intentionally state that equal probability for each unit in the population of inclusion in the sampling. The definition essentially includes all sorts of predilection, and therefore refers to true allegiance, when we neither make that choice nor want to choose a separate unit.