CBSE 12th

Students can download the NCERT Solutions for Class 12 Probability in PDF format from Shiksha.com. These Solutions provide best explanation which accurate and to the point for all the solutions. Students can visit the below given link and scroll down to click on the Download Free PDF option, then save the file in their device.

• NCERT Chapter 13 Probability Solutions for Class 12 Maths

Students can access all the important formulas along with the concepts used to solve these problems on Shiksha's NCERT Solutions page for Probability. Students can check all the important formulas in the NCERT Solutions for Probability. The link of the page is provided below;

NCERT Solutions for Class 12 Probability

Students can refer the NCERT Solutions for Class 12 Chemistry Chapter 4 The d and f block Elements shared by the experts at Shiksha for NCERT Chemisytry textbook questions. The solutions for CBSE Chemistry d and f block questions is explanined in easy way for better understanding.

Students need to practice the Class 12 Chemistry previous year question to identify the important questions. Some of important questions are reactions of $K_2Cr_2O_7$K2? Cr2? O7? and $KMnO_4$KMnO4? in acidic, basic, and neutral medium, lanthanide contraction and its consequences, balancing redox reactions, etc.

Students can use the class 12 previous year d and f block questions pdf to prepare for the exam and self-assessment. NCERT solutions enhace the proble sloving skills by explaning the complex questions in easy way. 

Shiksha's Class 12 Linear Programming, NCERT Solutions provide clear explanation for the concepts of feasible and infeasible regions;

• A feasible region is the common area on a graph that satisfies all the given constraints of a linear programming problem, including non-negativity conditions.
• An infeasible region comprises points that do not satisfy one or more of the problem's constraints. Any point outside the feasible region is considered an infeasible solution.

Students can use NCERT Solutions to understand the concepts for feasible and infeasible reason in the Linear Programming. 

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