A workshop on “New Era of CBSE Education System” By CASA was
organized on December 08, 2018 at Innocent Hearts School, Green Model Town,
Jalandhar. Primary Teachers from various schools from Punjab participated and
basked in the glory of the knowledge from the learned resource person Dr. J.K.
Gulati (HOD, University Business School, GNDU, Ladowali Road). Mr. Surinder
Saini, a social worker was the Guest of Honour. All the teachers of the primary
section attended with great zeal and enthusiasm. The resource person focused on
the importance of the education system. The need of the hour is to make the
thinking of the students ‘out of the box’, constructive and innovative. CBSE
wants to lighten the back breaking bags of the students. The weight of the
school bag may lead to deformities so we should lighten the weight of the bag
both physically and mentally and encourage their overall development. The children
should have critical thinking, problem solving ability, and be able to lead
from the front. Mr. Anil Chopra-Chairman CASA, Mr. Jodh Raj Gupta - Sr. Vice
President CASA, Dr. Narottam Singh Chairman – State Public School, Mr. Surinder
Saini-Social Worker, Dr. Anup Bowry-Secretary Innocent Hearts and CASA were
present. The stage was conducted by Mrs. Ambika Pasrija and the vote of thanks
was tabled by Mrs. Sharmila Nakra-Vice Principal Innocent Hearts School.
The correlation analysis refer to the techniques used measuring the closeness of the relationship between variables. "Correlation analysis deals with the association between two or more variables." 1. Positive and Negative Correlation: whether correlation is positive or negative would depend upon the direction of change. i.e if as one variable is increasing the other, on an average is also increasing or if one variable is decreasing the other, on an average is also decreasing, correlation said to be positive. If on the other hand one variable is increasing, the other is decreasing or vice versa it is said to be negative correlation. e.g 1. Positive correlation: X : 10 12 15 18 20 X: 80 70 60 40 30 Y...