On a graphing calculator, you can use the function normalcdf(lower bound, upper bound, μ, σ) to find the area under a normal curve for values of x between a specified lower bound and a specified upper bound. you can use −1e99 as the lower bound to represent negative infinity and 1e99 as the upper bound to represent positive infinity. suppose that cans of lemonade mix have amounts of lemonade mix that are normally distributed with a mean of 350 grams and a standard deviation of 4 grams. what percent of cans have less than 362 grams of lemonade mix? __% of cans have less than 362 grams of lemonade mix.

99.87% of cans have less than 362 grams of lemonade mix

Step-by-step explanation:

Let the the random variable X denote the amounts of lemonade mix in cans of lemonade mix . The X is normally distributed with a mean of 350 and a standard deviation of 4. We are required to determine the percent of cans that have less than 362 grams of lemonade mix;

We first determine the probability that the amounts of lemonade mix in a can is less than 362 grams;

Pr(X<362)

We calculate the z-score by standardizing the random variable X;

Pr(X<362) =

This probability is equivalent to the area to the left of 3 in a standard normal curve. From the standard normal tables;

Pr(Z<3) = 0.9987

Therefore, 99.87% of cans have less than 362 grams of lemonade mix

b i think

step-by-step explanation:

not really sure

there are 70 more legs than eyes at the dog show (196 – 126 = 70). dogs have two more legs than eyes, and humans have the same number of legs as eyes. thus 70 is twice the number of dogs at the show, so the number of dogs is half of 70, which is 35. to get the number of humans, subtract 35 from 63: 63 – 35 = 28.

step-by-step explanation: