Unit Three Flashcards
Scientific
Affect
VERB- to have an effect on; make a difference to.
Effect
NOUN- a change which is a result or consequence of an action or other cause.
Accurate
the closeness of a measured value to a standard or known value
Data
facts and statistics collected together for reference or analysis
Mass
ADJ- relating to, done by, or affecting large numbers of people or things
Mean
the average of a data set, found by adding all numbers together and then dividing the sum of the numbers by the number of numbers.
Control
an element or component of an experiment that remains unchanged or unaffected by other variables
Variable
An element or component of an experiment that is altered to test the reaction of another.
Independent- a variable (often denoted by x ) whose variation does not depend on that of another.
Dependent- they depend, by some law or rule, on the values of other variables.
Subject
people who participate in psychological experiments as subjects observed by the experimenter
Statistically Significant
Statistical significance helps quantify whether a result is likely due to chance or to some factor of interest
Correlation
a relationship or connection between two or more measures; does not imply causation
Case Study
a process or record of research in which detailed consideration is given to the development of a particular person, group, or situation over a period of time
Survey
In research of human subjects, a survey is a list of questions aimed for extracting specific data from a particular group of people
Reliability
the degree to which the result of a measurement, calculation, or specification can be depended on to be accurate
Variability
lack of consistency or fixed pattern; liability to vary or change
Sample Size versus Population
Sample size- refers to the number of participants or observations included in a study; Population- total number of people/subjects from which the sample size is taken
The rise of artificial intelligence (AI) has a profound effect on various industries, driven by its ability to analyze mass amounts of data with remarkable precision. By leveraging advanced algorithms, AI systems can provide accurate predictions and uncover complex patterns that might otherwise remain hidden. However, the reliability of these predictions often hinges on the sample size versus population considerations in the data used. For instance, a small sample size may lead to results that lack statistical significance and fail to generalize to the larger population. Understanding these factors is crucial for ensuring that AI’s applications—whether in healthcare, finance, or other fields—are both effective and ethically sound.
- According to the paragraph, what is a key factor influencing the reliability of AI predictions?
The variability of the data
The mass of the data analyzed
The sample size versus population considerations (correct answer)
The effect of AI on different industries