Don't judge a book by its cover
Answer:
dude you know we don't now those following article I'll just take B.
Explanation:
Review sometimes
Answer:
facts based on numbers
Explanation:
The best definition of statistics is that it's facts that are typically based on numbers i.e numerical data. The main purpose of statistics or statistical analysis is to gather, analyze and summarize data so as to draw an inference about a data set.
Descriptive statistics is a summary statistics that focuses on analyzing, describing, or explaining the characteristics of data contained in a population or obtained as a sample.
On the other hand, inferential statistics is solely based on drawing an inference from a sample or population and as such making predictions using the data.
A random variable is 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.
Example are the height of a randomly selected person, time it take to move from Texas to New York city, etc.
2. A discrete random variable is a variable that has its possible values as a finite value, meaning it can be counted.
Examples are the number of light bulbs that burn out in the next year in a room with 19 bulbs, the number of chicken in a district etc.
First of all, which word is underlined. After I know which one is underlined, I can fully answer yous question.
