An advertising agency that serves a major radio station wants to estimate the mean amount of time the station’s audience members listen to the radio on a daily basis. From past studies the population standard deviation is known to equal 45 minutes. What sample size is needed if the agency wants to be 90% confident of being within (±) 5 minutes of the true mean amount of time audience members listen to the radio per day?

So the answer for this case would be n=220 rounded up to the nearest integer

Step-by-step explanation:

Information given

represent the population deviation

represent the margin of error

The margin of error for the true mean is given by this formula:

   (a)

And on this case we have that ME =5 and we are interested in order to find the value of n, if we solve n from equation (4) we got:

  (b)

The critical value for 90% of confidence interval now can be founded using the normal distribution. The significance level is and the critical value would be , replacing into formula (b) we got:

So the answer for this case would be n=220 rounded up to the nearest integer

3,000,540

step-by-step explanation:

the red lines denote the population of the bacteria after 35 hours. that would be 2,409.24. the y-intercept is the blue line which is 800 because that is the starting point. the equation used to make the graph is 800(1.032)^h, where h is the number of hours.

step-by-step explanation: