Explanation:
Competition policy, public policy aimed at ensuring that competition is not restricted or undermined in ways that are detrimental to the economy and society. It is predicated upon the idea that competitive markets are central to investment, efficiency, innovation, and growth.
Answer:
95% of acceptable cookies
Explanation:
Answer:
b. The number of digits in a randomly selected row until a 3 is found.
Explanation:
A random variable often used in statistics and probability, is a variable that has its possible values as numerical outcomes of a random experiment or phenomenon. It is usually denoted by a capital letter, such as X.
In statistics and probability, random variables are either continuous or discrete.
1. A continuous random variable is a variable that has its possible values as an infinite value, meaning it cannot be counted.
2. A discrete random variable is a variable that has its possible values as a finite value, meaning it can be counted.
Also, any random variable that meets certain conditions defined in a research study.
Hence, an example of a geometric random variables is the number of digits in a randomly selected row until a 3 is found.
The best estimate for the age of the plant at 19 inches tall height is; 28 months
<h3>How to use a logarithmic Model?</h3>
We are given the time in months as;
1, 2, 3, 4, 5, 6 months.
We are also given the corresponding heights for those months respectively as; 18.2, 18.21, 18.33, 18.42, 18.46, 18.54
Now, when we punch those values into an online regression calculator, we arrive at the regression equation as;
y = 18.001 + 0.3ln(x)
We want to find the best estimate for the age of the plant at 19 inches tall height. Plugging in 19 for x in the regression equation gives;
y = 18.001 + 0.3ln(19)
Solving theis gives; y = 28 months
Read more about Regression equation at; brainly.com/question/26755306
