Answer:
Explanation:
When two normal distributions have the same standard deviation, but different means, the distribution with the higher mean will be shifted to the right of the distribution with the lower mean. This means that the distribution with the higher mean will have more values that are larger than the mean, while the distribution with the lower mean will have more values that are smaller than the mean.
To sketch what these distributions might look like, let's assume that both distributions have a standard deviation of 1, but one distribution has a mean of 5 and the other has a mean of 7. We can use a normal distribution graph to represent each of these distributions.
The graph for the distribution with a mean of 5 would look like this:
```
^
|
0.4 | *
| *
0.3 | *
| *
0.2 | *
| *
0.1 | *
| *
0 +-------------------------------->
-3 -2 -1 0 1 2 3 4 5
```
The graph for the distribution with a mean of 7 would look like this:
```
^
|
0.4 | *
| *
0.3 | *
| *
0.2 | *
| *
0.1 | *
| *
0 +-------------------------------->
-3 -2 -1 0 1 2 3 4 5 6 7
```
As you can see, both distributions have the same shape, but the distribution with the higher mean is shifted to the right. The peak of the distribution with the higher mean is also higher than the peak of the distribution with the lower mean. This is because the higher mean indicates that the values in this distribution are generally larger than the values in the other distribution.