Purpose of Education in Society
Purpose of Education in Society
Purpose of Education in Society
PURPOSE OF EDUCATION
What is Education?
Education isn’t just about the lessons learned in school — it’s also a dynamic process that
covers learning from diverse experiences. From a young age, we are always learning ideas
from the world around us, whether it’s through family, peers, media, or other sources.
This informal education, along the formal schooling, shapes our minds, values, and skills. It
teaches us to think, be creative, and solve problems, crucial for personal growth and success.
ROLES OF EDUCATORS
They possess the requisite knowledge, skills and values that
support the teaching and learning process. They manage learning
programs and have strategies that promote learning based on the
learning needs of their students. They seek advice from
experienced colleagues to consolidate their teaching practice.
According to Dewey believed that human beings learn through a 'hands-on' approach.
This places Dewey in the educational philosophy of pragmatism. Pragmatists believe that
reality must be experienced. From Dewey's educational point of view, this means that
students must interact with their environment in order to adapt and learn.
1. Empowering People
Education is like a magic key that unlocks our full potential. Whether we’re a kid or an adult,
it gives us the knowledge and skills we need to do well in life. Learning basics like reading
and math or diving into complex subjects sets us up for a lifetime of growth.
2. Bridging Economic Gaps
Good education is everyone’s right. It levels the playing field, making it easier for people
from diverse backgrounds to succeed. When all have equal access to school, it narrows the
gap between the rich and the poor, fostering fairness in society.
Welcoming new employees, introducing them to the company and setting up their work
environment.
Creating learning and development plans for employees to ensure they have the skills
necessary for success in their roles.
4. Performance Management:
Develop compensation and benefit plans that are competitive and attractive to employees.
6. Employee Relations:
Ensuring that all HR policies and procedures are compliant with federal, state, and local laws.
8. Strategic Planning:
Statistical tools and methods can make analyzing complex data and information
easier. Businesses use a variety of statistical tools to gather insights from
customer and market data. Learning more about common statistical tools,
methods, and models can help you understand how to use them effectively.In
this article, we define statistical methods, discuss their application, and explain
six commonly-used statistical tools along with their formulas.
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Problem framing
One of the most important uses of statistical methods is that it helps when
framing a problem. This includes finding out what type of problem it is, how to
classify it, and the types and inputs of the problem. The framing of a problem
may not be obvious sometimes, especially for beginners or researchers with
limited experience, and may require significant exploration. Statistical analysis,
such as exploratory data analysis and data mining, helps frame the problem
effectively.Related: What Is Quantitative Analysis?
Statistical tools help with data sorting and cleaning. They also help to identify
and remedy issues with the quality of data through various data cleaning
techniques. It's essential to note that when dealing with large data sets, not all
data may be relevant. Data sorting and classification tools remove data that are
irrelevant or obsolete.
Data understanding
Data understanding involves knowledge of variables and the relationship
between them. Both experts and beginners can benefit from understanding the
different parameters and formats of big data and establishing their
relationships. For understanding data, summary statistics and data visualization
are some essential methods and tools. Businesses can improve their data
understanding by defining its elements and learning about its content and
location. Expressing data understanding can take the form of business
glossaries, database directories, and metadata.
Evaluating models
Once the final model is ready for presentation to stakeholders, statistical tools
can help in making real-world predictions based on real data. They can also be
beneficial in making model predictions for new data where the eventual
outcome is unknown. Estimation statistics tools usually quantify this uncertainty
for a prediction via prediction intervals.Related: How to Find Critical Value in
Two Steps (With Examples)
1. Mean
2. Standard deviation
Standard deviation is the measure of the spread of a data set. The degree of
variance of the data set is the average square of the difference between the
mean value and each data value. Standard deviation is the spread of data
values around the mean or average data. The formula for standard deviation
is:σ = √(∑x−¯x)2 /n)The symbol for standard deviation is "σ," where "Σ" stands
for the sum of the data, "x" stands for the value of the data set. In the formula,
n stands for the number of data points in the population.
3. Hypothesis testing
4. Regression
In statistics, it is critical to determine the right size of the sample to get accurate
results and predictions. In most cases, businesses have a large amount of data
to process and analyze and may study only a part of it in greater detail.
Statisticians determine the correct sample size by considering factors like cost,
time, or convenience.There is no specific formula for sample size
determination. Researchers and statisticians design special data collection and
sampling methods as per the study or the population size. For a generic study,
using a table to create a sample size and analyze it can be helpful.
6. Variance