This chart may seem confusing, but it's not too bad once you get the hang of it. It is known as a mileage chart and it shows the distances between any two cities of this current list.
For example, the distance between Bedford and Cambridge is 29 miles because of the "29" in the very top block. This is the intersection between the "bedford" column and the "cambridge" row. Another example: The distance from Cambridge to Haverhill is 48 miles. Look in the "cambridge" column and the "haverhill" row.
With this in mind, we just need to look at the right rows and columns to find the distances to add up. See the set of attached images below. Figure 1 shows me marking the "cambridge" column and the "royston" row. In this row and column combo is the number 13. So the distance between these two cities is 13 miles.
Then onto figure 2 which shows the distance between Royston and Huntingdon is 21 miles. Figure 3 shows the distance from Huntingdon to Cambridge is 15 miles.
Adding the distances gives: 13+21+15 = 49
So that is why the total round trip distance is 49 miles.
Answer:
I think that the answer is 1 to1
Answer:
4x+y add like terms ... -5+9=4 and -y(or -1)+2y=y
Answer:
Clearly from 1 to 15 we can only have the sum 6,9,12 and 15 to be divisible by 3.
Now meaning we have 4! ( 4 factorial) which implies 4x3x2x1= 24 .
We have 24 ways to pick distinct integers that are divisible by 3.
Step-by-step explanation:
The first thing you need to do is to look for numbers that are divisible by 3. Then you take its factorial
The probability that a two-digit number selected at random has a tens digit less than its units digit is 0.2667 (4/15).

There are 90 two-digit numbers (99-9). Of these, six numbers are divisible by 15 (15, 30, 45, 60, 75, 90). This is also divisible by 5. Therefore, the preferred case is 30-6 = 24. Therefore, the required probability is 24/90 = 4/15.
The probability of an event can be calculated by simply dividing the number of favorable results by the total number of possible results using a probabilistic expression. Whenever you are uncertain about the outcome of an event, you can talk about the probability of a particular outcome, that is, its potential.
Learn more about probability here: brainly.com/question/24756209
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