Answer:

Step-by-step explanation:
Assuming the equation is:

Then taking antilogarithms gives:

We simplify on the left to get:

This gives us:

We subtract 3125 from both sides to get:



Answer:
The significance level is
and since we are conducting a right tailed test we need to find a critical value who accumulate 0.01 of the area in the right of the normal standard distribution and we got:

So we reject the null hypothesis is 
Step-by-step explanation:
For this case we define the random variable X as the number of entry-level swimmers and we are interested about the true population mean for this variable . On specific we want to test this:
Null hypothesis: 
Alternative hypothesis: 
And the statistic is given by:

The significance level is
and since we are conducting a right tailed test we need to find a critical value who accumulate 0.01 of the area in the right of the normal standard distribution and we got:

So we reject the null hypothesis is 
Answer:
Step-by-step explanation:
x = 6
If a giraffe was 6 yards tall it would be 18 feet tall