I really don’t understand
Answer:
Ge I Joe 02 04 Soccer balls height
Answer:
4
Step-by-step explanation:
7*7-9*5
49-45
4
Answer:

And using the z score given by:

Where:


If we find the z score for
we got:

So we want to find this probability:

And using the complement rule and the normal standard distribution and excel we got:

Step-by-step explanation:
For this case we have the proportion of interest given
. And we have a sample size selected n = 474
The distribution of
is given by:

We want to find this probability:

And using the z score given by:

Where:


If we find the z score for
we got:

So we want to find this probability:

And using the complement rule and the normal standard distribution and excel we got:
