0.11 is the least amount.
Answer:
Exactly one solution
Step-by-step explanation:
Because they two lines dont have the same slope, they must have only one solution.
Answer:
The requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.
Step-by-step explanation:
A normal-distribution is an accurate symmetric-distribution of experimental data-values.
If we create a histogram on data-values that are normally distributed, the figure of columns form a symmetrical bell shape.
If X
N (µ, σ²), then
, is a standard normal variate with mean, E (Z) = 0 and Var (Z) = 1. That is, Z
N (0, 1).
The distribution of these z-variates is known as the standard normal distribution.
Thus, the requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.
Answer:
2. f(x) ≤ 0 over the interval [0, 2].
4. f(x) > 0 over the interval (–2, 0).
5. f(x) ≥ 0 over the interval [2, ).
Step-by-step explanation: