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.
It’s either C or D I don’t know which one but I hope this helps!
They are trying to change the subject
Answer:
Quota.
Explanation:
In Statistics, sampling can be defined as a process used to collect or select data (objects, observations, or individuals) from a larger statistical population using specific procedures.
There are various types of sampling used by researchers and these are;
1. Random sampling.
2. Systematic sampling.
3. Stratified sampling.
4. Cluster sampling.
5. Opportunity or convenience sampling.
6. Quota sampling.
Quota sampling can be defined as a non-probability sampling technique wherein a sample comprising of data from a population or homogeneous group are created.
In this scenario, a researcher selects a sample from a district such that 25% of the children are between ages 5 and 6, 25% are between ages 7 and 8, 25% are between 9 and 10, and 25% are between ages 11 and 12. Thus, the researcher is employing a quota sampling.