Answer: Reliability
Explanation:
Reliability is the factor that maintains the consistency degree in any activity or object so that it can become trustworthy.
As Dr. Khat is carrying out the experiment for pharmaceutical company at multiple sites so that a dependable scale for objective data on the subject of depression can be gained per week.
Scale having reliability and authenticity can meet the required needs of pharmaceutical company and will face slight change due to drug's positive feedback .
Answer:
Casual Claim
Explanation:
Dr Ramos makes a casual claim here. Casual claims are based causal relationships or cause and effect variables such that x is the cause and y is the effect of x the cause. Casual claims are based on casual assumptions called a casual model. Dr Ramos is able to establish here that television which is the x variable here leads people to less communication, the y variable.
Because of its position on the earth.
Answer:
It can be inferred that Mark lives alone and could be financially unstable.
Explanation:
There can be several factors regarding such practice of Mark. Since he buys from a nearby store that has limited variety of products and canned food it can be assumed that Mark lives alone and there are not much residents to demand for change in purchasing of food items. Mark might also be financially unstable to travel to some other store variety products are available and are expensive for him to buy.
Moreover, it's also a possibility that Mark prefers canned food over fresh food.
In supervised learning, class labels of the training samples are <u>"known".</u>
In supervised learning, we begin with bringing in data set containing preparing characteristics and the objective qualities. The Supervised Learning calculation will take in the connection between preparing illustrations and their related target factors and apply that scholarly relationship to order completely new contributions (without targets).
In supervised learning, every case is a couple comprising of an info question (commonly a vector) and a coveted yield esteem (additionally called the supervisory flag). A supervised learning calculation examines the preparation information and produces a gathered capacity, which can be utilized for mapping new cases.
