Business Statistics

Knowledge Flow Β· αž”αžΆαž“αž’αžΆαž“αžŠαŸ„αž™ AI αžŠαŸ„αž™ Martin (αž–αžΈ Google)
αžŸαŸ€αžœαž—αŸ…β€‹αž‡αžΆβ€‹αžŸαŸ†αž‘αŸαž„
58 αž“αžΆαž‘αžΈ
αž˜αž·αž“β€‹αžŸαž„αŸ’αžαŸαž”
αž’αžΆαž“αžŠαŸ„αž™ AI
αž€αžΆαžšαžœαžΆαž™αžαž˜αŸ’αž›αŸƒ αž“αž·αž„αž˜αžαž·αžœαžΆαž™αžαž˜αŸ’αž›αŸƒαž˜αž·αž“αžαŸ’αžšαžΌαžœαž”αžΆαž“αž•αŸ’αž‘αŸ€αž„αž•αŸ’αž‘αžΆαžαŸ‹αž‘αŸ αžŸαŸ’αžœαŸ‚αž„αž™αž›αŸ‹αž”αž“αŸ’αžαŸ‚αž˜
αž…αž„αŸ‹αž”αžΆαž“αž‚αŸ†αžšαžΌ 5 αž“αžΆαž‘αžΈ αž˜αŸ‚αž“αž‘αŸ? αžŸαŸ’αžŠαžΆαž”αŸ‹αž”αžΆαž“β€‹αž‚αŸ’αžšαž”αŸ‹αž–αŸαž› αž‘αŸ„αŸ‡αž”αžΈαž‡αžΆαž‚αŸ’αž˜αžΆαž“αž’αŸŠαžΈαž“αž’αžΊαžŽαž·αžαž€αŸαžŠαŸ„αž™αŸ”Β 
αž”αž“αŸ’αžαŸ‚αž˜

αž’αŸ†αž–αžΈαžŸαŸ€αžœαž—αŸ…β€‹αž‡αžΆαžŸαŸ†αž‘αŸαž„αž“αŸαŸ‡

Business Statistics book by Knowledge Flow with Introduction to Business Analytics and Business Statistics and Data Processing both provide a comprehensive understanding of business statistics, integrating modern concepts like big data and business analytics. These books enhance clarity with real-world examples, illustrations, and graphs, making statistical concepts more applicable and engaging. Designed for business management students, they are also valuable for commerce and economics learners. Key features include revamped chapters, discussions on multivariate distribution, Fisher's least significant difference, and practical tools like MS Excel applications. With solved examples, objective questions, and exercises, these books bridge theory and real-world application effectively.

αžœαžΆαž™αžαž˜αŸ’αž›αŸƒβ€‹αžŸαŸ€αžœαž—αŸ…αž‡αžΆαžŸαŸ†αž‘αŸαž„αž“αŸαŸ‡

αž”αŸ’αžšαžΆαž”αŸ‹αž™αžΎαž„αž’αŸ†αž–αžΈαž€αžΆαžšαž™αž›αŸ‹αžƒαžΎαž‰αžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αŸ”

αž–αŸαžαŸŒαž˜αžΆαž“αž’αŸ†αž–αžΈαž€αžΆαžšαžŸαŸ’αžŠαžΆαž”αŸ‹

αž‘αžΌαžšαžŸαž–αŸ’αž‘αž†αŸ’αž›αžΆαžαžœαŸƒ αž“αž·αž„β€‹αžαŸαž”αŸ’αž›αŸαž
αžŠαŸ†αž‘αžΎαž„αž€αž˜αŸ’αž˜αžœαž·αž’αžΈ Google Play Books αžŸαž˜αŸ’αžšαžΆαž”αŸ‹ Android αž“αž·αž„ iPad/iPhone αŸ” αžœαžΆβ€‹αž’αŸ’αžœαžΎαžŸαž˜αž€αžΆαž›αž€αž˜αŸ’αž˜β€‹αžŠαŸ„αž™αžŸαŸ’αžœαŸαž™αž”αŸ’αžšαžœαžαŸ’αžαž·αž‡αžΆαž˜αž½αž™β€‹αž‚αžŽαž“αžΈβ€‹αžšαž”αžŸαŸ‹αž’αŸ’αž“αž€β€‹ αž“αž·αž„β€‹αž’αž“αž»αž‰αŸ’αž‰αžΆαžαž±αŸ’αž™β€‹αž’αŸ’αž“αž€αž’αžΆαž“αž–αŸαž›β€‹αž˜αžΆαž“αž’αŸŠαžΈαž“αž’αžΊαžŽαž·αž αž¬αž‚αŸ’αž˜αžΆαž“β€‹αž’αŸŠαžΈαž“αž’αžΊαžŽαž·αžβ€‹αž“αŸ…αž‚αŸ’αžšαž”αŸ‹αž‘αžΈαž€αž“αŸ’αž›αŸ‚αž„αŸ”
αž€αž»αŸ†αž–αŸ’αž™αžΌαž‘αŸαžšβ€‹αž™αž½αžšαžŠαŸƒ αž“αž·αž„αž€αž»αŸ†αž–αŸ’αž™αžΌαž‘αŸαžš
αž’αŸ’αž“αž€β€‹αž’αžΆαž…β€‹αž’αžΆαž“β€‹αžŸαŸ€αžœαž—αŸ…β€‹β€‹αžŠαŸ‚αž›β€‹αž”αžΆαž“β€‹αž‘αž·αž‰β€‹β€‹αž“αŸ…β€‹αž–αŸαž›β€‹β€‹β€‹αž€αž˜αŸ’αžŸαžΆαž“αŸ’αž Google αžŠαŸ„αž™β€‹αž”αŸ’αžšαžΎβ€‹αž€αž˜αŸ’αž˜αžœαž·αž’αžΈβ€‹αžšαž»αž€αžšαž€β€‹β€‹αž”αžŽαŸ’αžŠαžΆαž‰β€‹αž€αž»αŸ†αž–αŸ’αž™αžΌαž‘αŸαžšβ€‹αžšαž”αžŸαŸ‹β€‹β€‹αž’αŸ’αž“αž€αŸ”

αž…αŸ’αžšαžΎαž“αž‘αŸ€αžαžŠαŸ„αž™ Knowledge Flow

αžŸαŸ€αžœαž—αŸ…β€‹αž‡αžΆβ€‹αžŸαŸ†αž‘αŸαž„β€‹αžŸαŸ’αžšαžŠαŸ€αž„β€‹αž‚αŸ’αž“αžΆ

αž”αžšαž·αž™αžΆαž™β€‹αžŠαŸ„αž™ Martin