For this you're going to use the I=PRT formula! so i=interest, p=principal, r=rate, and t=time (in years). so basically here we are going to plug in the equation, I=(2700)*(0.016)*(0.5) and we get 21.60! I=PRT is a simple interest formula, which is used for the simple plug and chug equations like this. Just remember to convert months to years and move over your decimals!
<span>I look at her curiously after hearing her response before proceeding to respond, "Why aren't you? I thought you getting promoted was a sure thing from the last time we talked and I even overheard some of your bosses talking about it when I came to pick you up the other day." I questioned.</span>
<span>The medicare rating system uses five stars to rate customer satisfaction with the plan. 5 being the highest performance and 1 being the lowest. The rating is based on the quality provided for by the care in various categories.The system helps the government to make improvements in the care plan by reviewing the ratings and making necessary adjustments. Complaints are also addressed.</span>
<span>100 observations needed for desired accuracy and confidence.
The formula for the confidence of a sampling is:
ME = z*d/sqrt(n)
where
ME = Margin of error
z = z score for desired level of confidence
d = standard deviation
n = number of samples
The z score desired is calculated as follows. If you want a 95% confidence, you calculate 1 - 0.95 = 0.05, then you divide the result by 2, getting 0.025, and finally you use a standard normal table to get the z score for the desired probability. So for this problem of 95.44% we get
(1 - 0.9544)/2 = 0.0456/2 = 0.0228
Looking up a standard normal table, the value of 0.0228 is found to have a z-score of 2.0, a.k.a. 2 standard deviations from the normal.
So let's substitute the known values into the formula and solve for n.
ME = z*d/sqrt(n)
1 = 2*5/sqrt(n)
sqrt(n) = 2*5
sqrt(n) = 10
n = 100
So the owner needs at least 100 samples to be 95.44% certain that his measurement error is within 1 second of the correct time.</span>
