 This is a video on using the normal distribution probabilities to find data values. There's a particular fruit that weighs 509 grams as the mean and the standard deviation is 35 grams. The weights are normally distributed. The heaviest 15% of fruits weigh more than how many grams. Give your answer to the nearest gram. You have a mean of 509 and the standard deviation of 35. So that means on my bell curve it is always helpful to draw a bell curve for these types of questions. I have a mean of 509. And I want to know the heaviest 15% of fruits weigh more than how many grams. So my heavier fruits will be over here on the right side of the distribution. I want the heaviest 15%. So the 15% of fruits that are the heaviest will weigh more than how much. They'll weigh more than what data value. So the area to the right of my data value is 0.15. I'm looking for my data value now. To use my technology here though, I need to know my area to the left. Well, if the entire area under my curve adds up to one that means the area to the left of my data value I'm trying to find and then the area to the right will add up the one. So to find my missing piece, my left hand area here, all I have to do is one minus the right hand piece, one minus 0.15 area to the left is 0.85. This is what we need to plug into Google Sheets. In Google Sheets, make sure you're in the compute tab. Under normal, you'll write a mean of 509, a standard deviation of 35. And then the area to the left in this case is 0.85, which gives me an answer of 545, since I'm rounding to the nearest whole number or nearest gram. So my answer in this case will be 545 grams. The heaviest 15% of fruits weigh more than 5.