A clothing store uses the step function f(x) to recommend jeans sizes as a function of x, a child's height in inches.
f(x) =
1. 40 sx < 42
2, 42 3, 44 sx < 46
4, 46 5 x < 48
According to the function, which is the height of a child who should wear size 2 jeans?

44.1 inches
44 inches
42 inches
41.9 inches

How can you find the conditional probability of a given b as the fraction of b’s outcomes that also belong to a, and interpret the answer in terms of the model? i just need a good explanation

Suppose that an airline uses a seat width of 16.516.5 in. assume men have hip breadths that are normally distributed with a mean of 14.414.4 in. and a standard deviation of 0.90.9 in. complete parts (a) through (c) below. (a) find the probability that if an individual man is randomly selected, his hip breadth will be greater than 16.516.5 in. the probability is nothing. (round to four decimal places as needed.)

How do you create a data set with 8 points in it that has a mean of approximately 10 and a standard deviation of approximately 1?