You have to multiply 75 x 45 which is 3,375. Then, you subtract 24,580 - 3,375 which is 21,205. Hope this helped. :)
The top answer is correct.
Can you restate it or rewrite it? It doesn't have enough for me to answer this.
Answer:
-The slope:

Step-by-step explanation:
-To find the slope, you need this trick:

-So, according to the graph, start to the first doted point which is (0,1) to get to the second doted point, which is (2,4) on the graph, by counting how far up and how far across:
Rise: 3
Run: 2

So, therefore the slope is
.
Answer:
a) 
With:


b) 

c) 

d) 


Step-by-step explanation:
For this case we know the following propoertis for the random variable X

We select a sample size of n = 81
Part a
Since the sample size is large enough we can use the central limit distribution and the distribution for the sampel mean on this case would be:

With:


Part b
We want this probability:

We can use the z score formula given by:

And if we find the z score for 89 we got:


Part c

We can use the z score formula given by:

And if we find the z score for 75.65 we got:


Part d
We want this probability:

We find the z scores:


