Channel Avatar

STAT MAFIA @UC-TtUCVy8VrnKBCglv2jRfA@youtube.com

431 subscribers - no pronouns :c

More from this channel (soon)


09:33
Bayes theorem/URDU/HINDI|STAT MAFIA.
09:20
Independent and dependent events/URDU/HINDI|STAT MAFIA.
03:19
Independent repeated trail with two outcomes/URDU/HINDI|STAT MAFIA.
09:05
Addition and multiplication law for probability/URDU/HINDI|STAT MAFIA.
08:14
Conditional probability/URDU/HINDI|STAT MAFIA.
12:32
Law of complementation/URDU/HINDI|STAT MAFIA.
24:00
Classical,relative frequency and axiomatic Definition of Probability/URDU/HINDI|STAT MAFIA.
12:57
Rule of Multiplication, Permutation and Combination/URDU/HINDI|STAT MAFIA.
20:09
Sample space, sample point, event, simple and compound event/URDU/HINDI|STAT MAFIA.
11:30
mutually exclusive, Exhaustive and Equally likely events/URDU/HINDI|STAT MAFIA.
08:43
Random experiment/URDU/HINDI|STAT MAFIA.
05:28
Cartesian product sets/URDU/HINDI|STAT MAFIA.
03:16
Partition of sets and class of sets/URDU/HINDI|STAT MAFIA.
07:48
The algebra of sets/URDU/HINDI|STAT MAFIA.
21:05
Venn Diagram and operations on sets/URDU/HINDI|STAT MAFIA.
24:36
AN ASIDE SETS/URDU/HINDI|STAT MAFIA.
09:29
WHAT IS PROBABILITY WITH REAL LIFE EXAMPLE/URDU/HINDI|STAT MAFIA.
05:55
Limitations of index number B.Sc statistics Ch#5 lecture 24
08:10
Uses of index number B.Sc statistics Ch#5 lecture 23
07:44
Shortcoming or Drawbacks of consumer price index number B.Sc statistics Ch#5 lecture 22
20:24
Construction of consumer price index number B.Sc statistics Ch#5 lecture 21
09:05
Consumer price index number B.Sc statistics Ch#5 lecture 20
06:12
Circular test B.Sc statistics Ch#5 lecture 19
05:50
Factor Reversal test B.Sc statistics Ch#5 lecture 18
09:00
Time Reversal test B.Sc statistics Ch#5 lecture 17
24:54
Quantity index number B.Sc statistics Ch#5 lecture 16
06:43
Palgrave's weighted average of relative price index B.Sc statistics Ch#5 lecture 15
05:56
Passche's weighted average of relative price index B.Sc statistics Ch#5 lecture 14
07:09
laspeyres weighted average of relative price index B.Sc statistics Ch#5 lecture 13
06:37
Walsh index B.Sc statistics Ch#5 lecture 12
09:53
fisher ideal index B.Sc statistics Ch#5 lecture 11
06:07
Marshall Edgeworth price index B.Sc statistics Ch#5 lecture 10
08:19
weighted aggregative Passche's price index B.Sc statistics Ch#5 lecture 9
13:32
weighted aggregative laspeyres price index B.Sc statistics Ch#5 lecture 8
15:09
Simple average of relative index number B.Sc statistics Ch#5 lecture 7
10:58
simple aggregative index number B.Sc statistics Ch#5 lecture 6
23:50
main steps in construction of index number of wholesale prices part2 B.Sc statistics Ch5 lecture 5
28:09
main steps in construction of index number of wholesale prices part-1 B.Sc statistics Ch5 lecture 4
09:00
problems involved in index number construction B.Sc statistics Ch#5 lecture 3
09:29
simple and composite index number B.Sc statistics Ch#5 lecture 2
10:48
introduction of index number B.Sc statistics Ch#5 lecture 1
15:36
Cumulative frequency polygon or ogive B.Sc statistics Ch#2 lecture 22
06:31
Types of frequency Curve B.Sc statistics Ch#2 lecture 23
03:47
Frequency Curve B.Sc statistics Ch#2 lecture 21
08:32
Frequency polygon B.Sc statistics Ch#2 lecture 20
16:16
Histogram B.Sc statistics Ch#2 lecture 19
03:17
Graph of the time series Historigram B.Sc statistics Ch#2 lecture 18
09:11
Graphs B.Sc statistics Ch#2 lecture 17
11:19
Pie diagram/URDU/HINDI|STAT MAFIA.
07:16
Profit and loss chart/URDU/HINDI|STAT MAFIA.
06:44
Pictograms/URDU/HINDI|STAT MAFIA.
07:53
Rectangles and sub divided rectangles/URDU/HINDI|STAT MAFIA.
05:48
Component Bar Chart B.Sc statistics Ch#2 lecture 12
04:38
Multiple bar chart B.Sc statistics Ch#2 lecture 11
06:19
Simple bar chart B.Sc statistics Ch#2 lecture 10
17:33
Diagrams B.Sc statistics Ch#2 lecture 9
03:52
Graphical Representation B.Sc statistics Ch#2 lecture 8
11:45
stem and leaf display B.Sc statistics Ch#2 lecture 7
11:08
Cumulative frequency distribution B.Sc statistics Ch#2 lecture 6
18:23
Constructing a group frequency distribution B.Sc statistics Ch#2 lecture 5