The answer is 4√6 4√x
Sorry if that looks confusing but it means small 4, big 6 and then small 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:

Answer: The standard deviation formula may look confusing, but it will make sense after we break it down. ...
Step 1: Find the mean.
Step 2: For each data point, find the square of its distance to the mean.
Step 3: Sum the values from Step 2.
Step 4: Divide by the number of data points.
Step 5: Take the square root.
Step-by-step explanation:
An odd number ends in 1, 3, 5, 7, or 9.
Answer:
Side b = 10.2 m (1 d.p.)
Step-by-step explanation:
11² = 121
15² = 225
225 - 121 = 104
√104 = 10.2 (1 d.p.)
Side b = 10.2m
(Full answer = 10.198039)
11² + 10.2² = 15²