Answer:
<h2>1</h2>
Step-by-step explanation:
Magnitude
of an earthquake is defined as
. Here
is the Intensity of the earthquake and
is the intensity of standard earthquake.
We have an earthquake that is 10 times more intense than a standard earthquake. Let us denote the intensity of the earthquake as
.
10 times more intense than standard earthquake ⇒ 
Magnitude of the earthquake = 
∴ Magnitude of the earthquake is 1.
<h2>
Explanation:</h2>
Hello, remember you need to write complete questions in order to get good and exact answers. Here you haven't provided any fractions, so I'll give you my own fractions.
The first fraction is:

The second fraction is:

So let's say that difference is:

Therefore, the result is:

The representation of this problem is shown using the number line below. As you can see, we have written both 1/2 and 1/4 and the difference is also indicated giving the result 1/4. That is, if we walk from 1/4 to 1/2 we'll walk 1/4 units.
Answer:
24
Step-by-step explanation:
Answer:
Binomial probability, with 
Step-by-step explanation:
For each time Mookie Betts went to bat, there were only two possible outcomes. Either he got a base-hit, or he did not. The probability of getting a hit on each at-bat is independent of any other at-bat. This means that we use the binomial probability distribution to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
His average was 0.352.
This means that 
Assume he has five times at bat tonight in the Red Sox-Yankees game.
This means that 
a. This is an example of what type of probability
Binomial probability, with 
Answer:

Step-by-step explanation:
The probability of success (getting heads) on one roll DOESNT affect other rolls, so we need to find probability of getting a head in a roll.
Probability is defined as the number of favorable outcomes divided by the total number of outcomes.
<em>Here, favorable outcome is getting a head. So, on one roll, getting a head is 1. Also, the total number of outcomes is either a head or a tail. So total number of outcomes is 2.</em>
Thus,
P(Heads) = 1/2