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An Easy Way To Statistics by Dr. Tariq
Pakistan
เข้าร่วมเมื่อ 26 ก.ค. 2020
Purpose of this channel is to provide the basic knowledge of statistics. This channel is based on lectures series for beginners in the field of statistics, students of other disciplines who study statistics as minor subject and the researchers who want the analysis of their research data. Students and researchers should get in touch with this channel for guideline of all the topics of statistics and research related information.
Normal probability Distribution II, standard Normal Distribution, Use of Area table & Examples
this is 2nd lecture of normal distribution link of first lecture is given in the end. this lecture highlight the idea of standard normal distribution, why it is important. how it is use to find probability. it also give the idea how to use the area table to work out probability or area of given range. for building good concept also see Normal Probability Distribution I lecture
link of this previous lecture of Normal Distribution
th-cam.com/video/s0ZlJfhiGnw/w-d-xo.html
link of this previous lecture of Normal Distribution
th-cam.com/video/s0ZlJfhiGnw/w-d-xo.html
มุมมอง: 73
วีดีโอ
Normal Probability Distribution introduction, properties, importance & probability density function
มุมมอง 13211 หลายเดือนก่อน
This lecture is about introduction of normal distribution its graphic representation, some of its properties, its importance and how probability can be calculated by using normal distribution probability density function(pdf) and why practically we do not use pdf to compute probability. this lecture is first lecture on normal distribution and considered as foundation for next upcoming lectures ...
Poisson Distribution: Explanation with numerical Examples. An easy way to statistics by Dr. Tariq
มุมมอง 207ปีที่แล้ว
It is the 16th lecture of probability series. things are being explained in easier way with the help of examples.
Hypergeometric Probability Distribution Part II. Application with Numerical Examples
มุมมอง 2912 ปีที่แล้ว
This is 15th Lecture of probability topic. All the other lectures are present on my channel "An easy way to Statistics by Dr. Tariq" present lecture is consist of the numerical application of Hypergeometric Distribution. channel link th-cam.com/channels/rdXMEdQ8fMf4YqYvz6JXtw.html links of topics associated with lecture th-cam.com/video/TOP2EpNCgbc/w-d-xo.html th-cam.com/video/O61LGiELs4E/w-d-x...
Hypergeometric Probability Distribution, its Mean and Variance: Explanation with Numerical Example,
มุมมอง 2742 ปีที่แล้ว
This lecture explain the properties of hypergeometric Experiment, hypergeometric distribution its mean and variance, and its explaination with the help of numerical example. for good understanding please also see the my lectures on rule of combination and discrete probability distribution on my channel th-cam.com/video/TOP2EpNCgbc/w-d-xo.html th-cam.com/video/O61LGiELs4E/w-d-xo.html th-cam.com/...
Binomial Distribution: Learn How to Solve the Numerical Using Binomial Distribution, & Examples
มุมมอง 7282 ปีที่แล้ว
This is 12th lecture of Probability Series and part II of binomial distribution Lectures. Learners are Expected to watch all the previous lectures for better understanding of the Probability and Binomial distribution. therefore its needed to visit the my you tube channel. in this lecture binomial distribution is explained with the help of numerical examples. this lecture is helpful for beginner...
Binomial Distribution: Its Formula, Mean & Variance and Explanation with Numerical Example
มุมมอง 3302 ปีที่แล้ว
this lecture consist of properties of binomial experiment, ,Complete binomial probability distribution in functional farm or its formula. its explanation. mean and variance of binomial distribution. Explanation with the help of numerical example
PROBABILITY: Discrete Random Variable and Probability Distribution part II With Numerical Examples.
มุมมอง 5233 ปีที่แล้ว
PROBABILITY: Discrete Random Variable and Probability Distribution part II With Numerical Examples. learn basic level concept of probability Distribution |Discrete Probability Distribution| Discrete random variable
Probability: Discrete Random Variable and Probability Distribution Part-I, with Examples.
มุมมอง 3333 ปีที่แล้ว
Probability: Discrete Random Variable and Probability Distribution Explanation With Numerical Examples| probability| probability distribution|discrete probability distribution|random variable
Probability: Additional law of Probability for Mutually Exclusive and not Mutually Exclusive Events
มุมมอง 3513 ปีที่แล้ว
Probability: Additional law of Probability for Mutually Exclusive and not Mutually Exclusive Events Explanation with the help of numerical examples
Concepts of Mutually Exclusive or Disjoint Events, Independent events, Exhaustive events
มุมมอง 4703 ปีที่แล้ว
concepts of Mutually Exclusive or Disjoint Events, independent events, Exhaustive events and complement of events with examples
Application of Rule of Combination: computing probability of various events associated with it
มุมมอง 2093 ปีที่แล้ว
Application of Rule of Combination: computing probability of various events associated with it. helpful in computing probability of various problems associated with this rule. this lecture also strengthen the concept of probability and rule of combinations
Application of Rule of Multiplication: Numerical Examples and Computation of Probabilities
มุมมอง 2863 ปีที่แล้ว
Application of Rule of Multiplication: Numerical Examples, display of sample space and Computation of Probabilities of various events
Probability: Rule of Combination for Counting the All Outcomes of Sample Space
มุมมอง 3613 ปีที่แล้ว
Rule of Combination for Counting the All Outcomes of Sample Space, with Numerical Examples
Probability: Rule of Multiplication for Counting All Possible Outcomes of Sample Space
มุมมอง 5523 ปีที่แล้ว
Rules of Counting: Rule of Multiplication For Counting All Possible Outcomes of Sample Space
Probability: Numerical Examples for Computing Probability of Various Events
มุมมอง 3543 ปีที่แล้ว
Probability: Numerical Examples for Computing Probability of Various Events
Probability: Subjective and Objective Probability, Probability of an Event and Numerical Examples
มุมมอง 2.6K3 ปีที่แล้ว
Probability: Subjective and Objective Probability, Probability of an Event and Numerical Examples
Basic Terms Used in Probability: Experiment, Outcome, Event, Sample Space
มุมมอง 2.5K3 ปีที่แล้ว
Basic Terms Used in Probability: Experiment, Outcome, Event, Sample Space
Measure of Dispersion: Standard Deviation, Variance and Coefficient.
มุมมอง 2713 ปีที่แล้ว
Measure of Dispersion: Standard Deviation, Variance and Coefficient.
Dispersion: Standard deviation, Variance and Coefficient of Variations
มุมมอง 2533 ปีที่แล้ว
Dispersion: Standard deviation, Variance and Coefficient of Variations
Statistical Inference: Estimation and Testing of Hypothesis (introduction)
มุมมอง 1.5K3 ปีที่แล้ว
Statistical Inference: Estimation and Testing of Hypothesis (introduction)
Measures of Dispersion -- Concept of Absolute and Relative Dispersion
มุมมอง 5433 ปีที่แล้ว
Measures of Dispersion Concept of Absolute and Relative Dispersion
Sampling Distribution of Difference Between Sample Proportions
มุมมอง 4453 ปีที่แล้ว
Sampling Distribution of Difference Between Sample Proportions
Sampling Distribution of Difference Between Sample Means
มุมมอง 8683 ปีที่แล้ว
Sampling Distribution of Difference Between Sample Means
Merits, Demerits and Relationships of Various Measures of Central Tendency
มุมมอง 5823 ปีที่แล้ว
Merits, Demerits and Relationships of Various Measures of Central Tendency
Sampling Distribution of Sample Proportions For Sampling with Replacement
มุมมอง 3333 ปีที่แล้ว
Sampling Distribution of Sample Proportions For Sampling with Replacement
Sampling Distribution of Sample Mean for Sampling Without Replacement
มุมมอง 2353 ปีที่แล้ว
Sampling Distribution of Sample Mean for Sampling Without Replacement
Geometric Mean (For Grouped and Ungrouped Data):Measures of Central Tendency
มุมมอง 1173 ปีที่แล้ว
Geometric Mean (For Grouped and Ungrouped Data):Measures of Central Tendency
Harmonic Mean (For Grouped and Ungrouped Data): Measures of Central Tendency
มุมมอง 1293 ปีที่แล้ว
Harmonic Mean (For Grouped and Ungrouped Data): Measures of Central Tendency
MODE (for Grouped and Ungrouped Data): Measures of Central Tendency
มุมมอง 1263 ปีที่แล้ว
MODE (for Grouped and Ungrouped Data): Measures of Central Tendency
jazakAllah
God bless this man. Wonderful explanation ever!
Super sy b uper wah kya samjhyw hai ...sari tension khtm hogi
Background noise na sara maza khrb kar diya bakwas lec
Block SS 8.667 a rahi hain Anyone else?
F-calculated value 9.054 a rehi hain Anyone else ?
Agra msc wale bhi aagye😂
Fully explained hatsoff u sir
great job sir allah bless you , nice vedio
Thank you dear
I'm a student of MS public health, I watched many videos to understand RCD , RBCD and LCD But I found Your videos too much comprehensive and easy. Thanks for making Such a wonderful video . Almighty bless you with best reward Ameen
plz add a video on FULL FACTORIAL in this playlist also....it would be very helpful, thanks ...i am a big fan of ur teaching
Great lecture sir, keep up the good work, your teaching methodology is best of the best! regards attaullah khattak from UET peshawar
Thanks for your compliments
assalam-o-alikum sir! how ONE WAY ANOVA is different from CRD? coz numerical procedure of both methods are same then why we give it a different name? waiting for your kind response thanks
Thank you dear for your concern. Numerical procedure of both methods are same. However when we apply CRD in practical field we apply treatment to each unit randomly. For example if we want to see the difference between three medicine A, B and C we allot these randomly to each patient.
Well explained 😊 Thank you
Sir ap apna Whatsapp number dy den
God bless you sir Please aik video contrast orthogonal pr b bna dein Ur explanation methods r so good
Sir, i didn't understand actually how to calculate the Ftable value. How it comes 4.25?
Bhtt acha samjhaa
In statistix 8.1, which one is LSD value? Standard Error for Comparison or Critical Value for Comparison? please clear it
Thank you so much
Proud to be your student in BS Economics
thank you dear. i am also proud of you and wishing for your better future
Ma Sha Allah Such a greatttttt way of teachingCRD It confused me sooooo much but now it's completely understandable Alhumdulillah
Thank you
Veri veri thank you
Thank you so much sir. It helped me alot
RCBD ANOVA in R Studio Complete Tutorial 👇 th-cam.com/video/rW2uws2YTGk/w-d-xo.html
thanks for sharing information
👌👌👌👌
Thank you sir
It's my pleasure
السلام علیکم سر بہت اچھے طریقے سے سمجھ آتے ہو
thanks for your interest
Mashallah bahut accha padhte Ho
Why you have to avoid TWO levels factor? How this will affect your final conclusion?
Why not English
sir apne pas 9 treatment hai to data ko arrange krna padega kya increasing order me tab hi significant diffrence find hoga
Yes with writing the treatment means in Increasing order help you to identify significant means easily. For example if the first mean of the increasing order row has significant difference with second then we can say that all remaining means are significantly different from first mean. As there all are larger than first and second.
Sir what is the difference between one-way ANOVA and CRD. How to identify the process sir .
Procedure for both are same. If the question is about one way or CRD. But when you are doing research then you have to design the study. Thanks for your concern
@@AnEasyWayToStatisticsbyDrTariq thank you for the easy and detailed explanation sir
Sir please one vedio about GLS DESIGN
Great sir such a great teaching method
Sir kam se kam 5-6 add aur daliye😂😂😂😂
Thanks sir tomorrow my experimental design exam that vedio very help me to understand the cr design ❤
well explained sir.... first thing very hard to find lectures on experiment design, i found some lectures but u r best . thank u so much sir for these lectures....love from Nepal😍😍
Sir one way anova crd or two way way rcbd ka procedure ka according solve hota ha? Or latin square design two way anova sa ho ga ya three way anova sa? Ya phr Single factor experiments ( crd, rcbd, lsd) one way anova sa ho gay or factorial experiments means 2 factor experiments (crd, rcdb or lsd) ma two way anova ho ga?
You can say Latin square design as three way analysis of variance. However term three way analysis is not commonly used. Thanks for you concern
Sir please tell how u calculated Ftab.
Experiment design subject was tough subject for me ........but today i feel better in this subject ....this is because of your hard working ......thank u so much sr....love from Nepal 😍
best teaching method in statistics, best in utube
HI Sir two coins toss example me Prob. of at most 2 Heads will be 1/3
When two coins are tossed sample space have 4 possible outcomes. HH HT TH TT. Atmost two we mean 2 or less than 2. All 4 possibilities fulfil this condition. This mean there are 4 favourable cases and 4 total cases and probability will be 4/4= 1
Got it Sir Thanks
Kmlll sir g
bahut hi pyara lecture sir aap bahut ache se samjhate ho mujhe bahut dar lag rha tha probability se now i seeing continuously tq very much sir
Thanks for your concern
Sir hmy yeh keisy pta chly ga k oneway apply krna hai ya two way anova
A major mistake that u did that first data table is totally different from second one...data assortment didn't match
Thank you sir 👍😌
Great way of teaching