Blood pressure: High blood pressure has been identified as a risk factor for heart attacks and strokes. The proportion of U. S. adults with high blood pressure is 0.2. A sample of 37 U. S. adults is chosen. Use the TI-84 Plus Calculator as needed. Round the answer to at least four decimal places.

For this case we know this:

We can find the standard error like this:

So then our random variable can be described as:

Let's suppose that the question on this case is find the probability that the population proportion would be higher than 0.4:

We can use the z score given by:

And using this we got this:

And we can find this probability using the Ti 84 on this way:

2nd> VARS> DISTR > normalcdf

And the code that we need to use for this case would be:

1-normalcdf(-1000, 3.04; 0;1)

Or equivalently we can use:

1-normalcdf(-1000, 0.4; 0.2;0.0658)

Step-by-step explanation:

We need to check if we can use the normal approximation:

We assume independence on each event and a random sampling method so we can conclude that we can use the normal approximation and then ,the population proportion have the following distribution :

For this case we know this:

We can find the standard error like this:

So then our random variable can be described as:

Let's suppose that the question on this case is find the probability that the population proportion would be higher than 0.4:

We can use the z score given by:

And using this we got this:

And we can find this probability using the Ti 84 on this way:

2nd> VARS> DISTR > normalcdf

And the code that we need to use for this case would be:

1-normalcdf(-1000, 3.04; 0;1)

Or equivalently we can use:

1-normalcdf(-1000, 0.4; 0.2;0.0658)

126.66 m²

step-by-step explanation:

the pertinent area formula is a = πr², where r is the radius.

here, a = π(6.35 m)² = 40.32π, or approximately 126.66 m²