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COSM| SINGLEMEAN-LARGESAMPLE|RAJESHLEKKALU

10:47

COSM| SINGLEMEAN-LARGESAMPLE| RAJESHLEKKALU

07:51

COSM| SINGLE MEAN-LARGE SAMPLE| PART-6| RAJESHLEKKALU

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COSM| SINGLE MEAN- LARGE SAMPLE| Part-5| Rajeshlekkalu

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COSM| Single mean- large sample| part-4| Rajeshlekkalu

11:08

Cosm| Single mean- large sample|part-2|Rajeshlekkalu

05:04

COSM|Single mean- large sample |part-3|Rajeshlekkalu

09:08

COSM|single mean- large sample| part-1|Rajeshlekkalu

11:44

Correlation Coefficient | COSM | RAJESHLEKKALU

12:02

Discrete Mathematics| Important questions| Only THREE units| RAJESHLEKKALU

09:48

NORMAL FORM || MATRICES || RANK OF MATRIX || RAJESHLEKKALU

23:42

Gauss divergence theorem | Vector Integration | RAJESHLEKKALU

08:47

Discrete Mathematics | Important Questions 2024| Rajeshlekkalu

13:15

JNTUH | ODE&VC | 2024| Important Topics | Rajeshlekkalu

16:51

QR-Decomposition | Linear Algebra | Rajeshlekkalu

08:18

ODE&VC | 2nd MID IMPORTANT QUESTIONS|| RAJESH LEKKALU

04:40

Linear Differential Equations | ODE&VC | M-II| B.tech | RAJESHLEKKALU

05:08

DifferentialEquations| ODE&VC| short answer| Rajeshlekkalu

08:13

Ergodic| Markov chain | Irregular | Stochastic Process |COSM |MSF | RAJESHLEKKALU

09:13

MARKOV CHAIN| Ergodic | Irregular| Stochastic Process | Rajeshlekkalu

07:35

MSF| IMPORTANT TOPICS PREPARATION FOR EXAM| R22JNTUH | RAJESHLEKKALU

11:43

Regular (or) not | Stochastic Matrix |COSM |MSF |RAJESHLEKKALU

05:56

Stochastic (or) not | COSM |MSF| Rajeshlekkalu

02:41

Transition Probability Graph| Stochastic Process |COSM|MSF |RAJESHLEKKALU

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Transition Probability | Stochastic Process | COSM |MSF| Rajeshlekkalu

17:47

MATRIX| GAUSS JORDAN METHOD | ELEMENTARY OPERATION |RAJESHLEKKALU

06:18

COSM | R22 JNTUH | RAJESHLEKKALU

08:44

NMCV | Important Questions | RAJESHLEKKALU

08:00

Sample Proportion| COSM | MSF| RAJESHLEKKALU

07:45

confidence limits | COSM | MSF | P&S | RAJESHLEKKALU

06:43

C-R EQUATIONS | RAJESHLEKKALU

11:54

Rank correlation coefficient | MSF | Rajesh lekkalu

04:00

Regression tan(4/3) | Rajeshlekkalu |MSF

03:21

Angle b/w two Regression lines | MSF | RAJESHLEKKALU

11:00

MSF | R22 JNTUH 2023| IMPORTANT QUESTIONS | RAJESH LEKKALU

12:46

COSM UNIT WISE IMPORTANT QUESTIONS | R22 JNTUH 2023 | RAJESH LEKKALU

09:30

TRIPLE INTEGRAL | Multiple Integrals |Rajeshlekkalu

12:04

COSM | IMPORTANT TOPICS | R22 JNTUH 2023 | RAJESHLEKKALU

55:25

MATRICES & CALCULUS 2023 | R22 JNTUH | RAJESHLEKKALU

58:27

MATRICES & CALCULUS 2023 | JNTUH | RAJESHLEKKALU

19:54

MATRICES & CALCULUS | Important Questions 2023 | RAJESHLEKKALU

10:12

B(p,q+1)=B(p+1,q)=B(p,q)| Betagammafunctions problem |Rajeshlekkalu

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PDE |CHAINRULE | RAJESHLEKKALU

10:48

Volume of solid of revolution | ratio 5:27 | Rajeshlekkalu

09:40

VOLUME OF SOLID OF REVOLUTION | RAJESHLEKKALU

10:34

PARTIAL DIFFERENTIAL EQUATIONS| RAJESHLEKKALU

09:29

Jacobian| Functionally Dependent | relation b/w them |PDE| Rajeshlekkalu

10:24

Partial Differential Equations | PDE | RAJESHLEKKALU

16:36

SSC GD CONSTABLE | NOTFICATION NOV 2023| RAJESH LEKKALU

07:21

Betagammafunctions | Calculus |Rajeshlekkalu

06:13

Gamma functions | Calculus | Rajeshlekkalu

04:24

Gamma functions | Calculus | Rajeshlekkalu

07:01

GAMMA FUNCTION 1 MARK PROBLEMS | RAJESH LEKKALU

11:22

MSF | CURVE FITTING | SECOND DEGREE EQUATION | RAJESHLEKKALU

05:41

Regression of X on Y | Y on X | MSF | RAJESHLEKKALU

08:51

Correlation Coefficient Problem1 | MSF | Probability and Statistics | Rajeshlekkalu

08:26

Linear congruence problem 2| MSF | Euclid algorithm | Rajeshlekkalu

13:02

Chinese Remainder theorem problem2 | MSF | RAJESHLEKKALU

11:53

CHINESE REMAINDER THEOREM PROBLEM 1 | MSF | RAJESHLEKKALU

07:37

Chinese remainder theorem| MSF | RAJESHLEKKALU