Maths.tutor 4u
Maths.tutor 4u
  • Видео 86
  • Просмотров 818 336
Normal distribution data using Excel (pdf, continuity correction, normal approximation, graph)
In Excel using data analysis, a random data set for normal distribution is generated for n = 1500, mean = 15, and S.D. = 4. Using descriptive statistics, selected bin size and bins required to create frequency, and empirical rule used to construct a probability distribution table using the histogram function of data analysis. The normal approximation is done using continuity correction, and at the end, visualization of the data set is done with a graph to analyze the data.
Просмотров: 1 695

Видео

MCQs on Point estimation (unbiasedness ,consistency, efficiency, sufficiency, MLE)
Просмотров 8918 месяцев назад
MCQs start at 14:00 minutes. I have covered MCQs (objective questions) on point estimation in this video. There are more than 25 MCQs based on basic definitions, properties on topics, and characteristics of good estimators-unbiasedness, consistency, efficiency, sufficiency, and maximum likelihood estimator (MLE). Before MCQs review all important concepts, formulae are discussed
MCQs on Gamma Distribution and Exponential Distribution
Просмотров 8718 месяцев назад
In this video I have discussed review of basic definition and formulas on Gamma and exponential distribution before switching over to the mcqs. The mcqs covered memory based and calculation based , also covered relationship of poisson distribution, normal distributions with them. memory less property of Exponential distribution is also discussed. there are total 21 mcqs discussed.
MCQs on Normal Distribution ( Standard normal variable Z)
Просмотров 1,5 тыс.8 месяцев назад
In this video I have shared mcqs before that the important formulae of normal distribution based on definition , properties , mgf and empirical rule discussed that are useful for mcqs or objective questions based on Normal distribution of normal variable and standard normal variables. there are total 22 mcqs discussed including some Gate exam questions also
Joint pdf discrete random variables (X,Y) example -1
Просмотров 1,6 тыс.Год назад
In this video discussed an example of joint probability distribution function for discrete random variables where calculated the unknown value in the given joint pdf formula using its properties
Joint probability distribution (discrete random variable) Example -2
Просмотров 2,8 тыс.Год назад
Joint probability distribution (discrete random variable) Example -2
crisp and short way to find CDF of continuous random variable
Просмотров 11 тыс.Год назад
In this video used short and crisp way to find CDF of continuous random variable. It will be very helpful when pdf is given in many intervals. Two examples discussed. Example 1 pdf has different functions given in two intervals . example two based on pdf with different functions in three intervals and also to find unknown value "a". when cdf and unknown both are asked in the continuous r.v. the...
CHEBYSHEV'S THEOREM (or CHEBYSHEV'S INEQUALITY)
Просмотров 1,4 тыс.Год назад
Example 1 at 07:45 Example 2 at 12:41 In this video shared Chebyshev's theorem ( or which is an inequality ) discussed the theorem statement using number line to get clarity of the theorem. Shared two examples of different type for the implementation of the theorem .
Joint density function,Marginal density function conditional distribution of continuous r.v.X and Y.
Просмотров 9 тыс.Год назад
Example 1 at 8:34 and Example 2 at 22:35 (as word problem) In this video I have discussed two examples of two dimensional continuous r.v. X and Y one with constant limits and other with variable limits covering the topics joint density function, marginal density function, conditional distribution and statistically independence . Example 1(all constant limits ) is started at 8.32 Example 2 ( wit...
To find PDF and unknown value k when CDF of continuous random variable is given
Просмотров 37 тыс.Год назад
In this video discussed an example where cumulative distribution function ( CDF ) F(x) of continuous random variable is given and we have to find an unknown value k and probability density function PDF f(x)
concept - Cumulative Distribution Function (cdf) of the random variables ( discrete and continuous)
Просмотров 7 тыс.Год назад
In this video discussed definition of cdf for discrete and continuous r.v. properties and important remarks Examples to find cdf when pdf is given Examples to find probability using cdf formulae Graphs of cdf Examples to find pdf when cdf is given
Discrete and Continuous Random Variable and Probability distribution function pdf
Просмотров 10 тыс.Год назад
In this video I have discussed concept of random variable. What do we mean by discrete and continuous random variables along with their associated probability distribution functions/probability density functions with examples
To find CDF when PDF of continuous random variable is given
Просмотров 105 тыс.Год назад
see short method to find cdf in following video ruclips.net/video/qmzfbuTeCRw/видео.html
Inspection Method to find Integrating factor (IF) of non-exact differential equation
Просмотров 6 тыс.3 года назад
In this video discussed technique to apply inspection method to find integrating factor of non exact differential equations and then its solution is also discussed
MCQs Homogeneous functions and Euler's Theorem( with shortcut results)
Просмотров 5 тыс.4 года назад
*Rectification in q17th , there is u=sin inverse of [( x^3 y^3 z^3)/ax by cz)] In this video discussed 20 mcqs on Homogeneous Functions and Euler's Theorem using all short and quick methods
Mcqs on Eigen values and Eigen vectors (using shortcuts)
Просмотров 17 тыс.4 года назад
Mcqs on Eigen values and Eigen vectors (using shortcuts)
MCQs Homogenous system of Linear equations (AX=O)
Просмотров 2,4 тыс.4 года назад
MCQs Homogenous system of Linear equations (AX=O)
MCQs Non Homogeneous Linear equations (AX=B) with rank concept
Просмотров 2,5 тыс.4 года назад
MCQs Non Homogeneous Linear equations (AX=B) with rank concept
D'Alembert solution for one dimensional wave equation
Просмотров 21 тыс.4 года назад
D'Alembert solution for one dimensional wave equation
shortcut/trick to solve mcqs on roots of cubic equations with ease
Просмотров 5174 года назад
shortcut/trick to solve mcqs on roots of cubic equations with ease
vedic maths rule for fastest multiplication with number all 9's (other number more in digits)
Просмотров 1114 года назад
vedic maths rule for fastest multiplication with number all 9's (other number more in digits)
Shortcut Method for by part integration
Просмотров 3014 года назад
Shortcut Method for by part integration
Fastest method to multiplying with a number all in 9's within few sec(using vedic methods) -part1
Просмотров 1584 года назад
Fastest method to multiplying with a number all in 9's within few sec(using vedic methods) -part1
Bayes' Theorem
Просмотров 7924 года назад
Bayes' Theorem
conditional probability and independent events
Просмотров 1,1 тыс.4 года назад
conditional probability and independent events
probability of an event with examples
Просмотров 2,8 тыс.4 года назад
probability of an event with examples
Types of events in Probability( mutually exclusive ,independent etc.)
Просмотров 37 тыс.4 года назад
Types of events in Probability( mutually exclusive ,independent etc.)
Probability Terminology ( Random experiment,Sample space, events)-1
Просмотров 29 тыс.4 года назад
Probability Terminology ( Random experiment,Sample space, events)-1
Nowhere Analytic functions examples ( useful clue to identify such functions) part-3
Просмотров 2,1 тыс.4 года назад
Nowhere Analytic functions examples ( useful clue to identify such functions) part-3
Analytic functions(Entire Function) part -2
Просмотров 8814 года назад
Analytic functions(Entire Function) part -2

Комментарии

  • @berhehagazi-s3j
    @berhehagazi-s3j День назад

    greate job............well done

  • @sandranguemo-v7m
    @sandranguemo-v7m 4 дня назад

    Thank you so much!!!! I've looking everywhere and only your video helped me to actually do the exercise. Your video is very much practical. Thanks!

  • @Teddy_boi.04
    @Teddy_boi.04 8 дней назад

    Pls on the number line X>3 should be 1 not 0

    • @maths.tutor4u172
      @maths.tutor4u172 7 дней назад

      yes , i mentioned rectification it in my pinned message

  • @ADITYAKUMARKORI-z5y
    @ADITYAKUMARKORI-z5y 10 дней назад

    wonderful great explanation thank you mam

  • @AbrahamShumet-g9y
    @AbrahamShumet-g9y 11 дней назад

    Thanks ❤❤❤❤

  • @saihanumanssmb9
    @saihanumanssmb9 16 дней назад

    😲😲🙀🙀😃😃😯😯

  • @manishchallenger9121
    @manishchallenger9121 26 дней назад

    Next video upload please

  • @Heybem05
    @Heybem05 26 дней назад

    I love you great ever!

  • @countacymathematics
    @countacymathematics Месяц назад

    A thumbs up for the amazing explanation.

  • @rexsex9199
    @rexsex9199 Месяц назад

    numb digger

  • @WillyForinas
    @WillyForinas Месяц назад

    Wheres the continuation of this lecture?

  • @WillyForinas
    @WillyForinas Месяц назад

    Wheres the continuation of this lecture?

  • @WillyForinas
    @WillyForinas Месяц назад

    Where's the continuation of this video?

  • @KnowWithAbhi
    @KnowWithAbhi Месяц назад

    Thanks

  • @darcash1738
    @darcash1738 Месяц назад

    Given: .5x, x E [0, 1] .5, x E [1, 2] .5(3-x), x E [2, 3] 0 otherwise We calculate the indefinite integrals of each, which I will mark with "I#", where # is the number, and I stands for integral: I1 = .25x^2 I2 = .5x I3 = 1.5x - .25x^2 Now evaluate each one within each interval. "E" stands for evaluated, "#" for number E1 = I1[0 to 1] (.25 - 0) = .25 E2 = I2[1 to 2] = (1 - .5) = .5 E3 = I3[2 to 3] = (2.25 - 2) = .25 In this process, we also found what it was evaluated at for each lower bound. Let's mark these as LI#: LI1 = 0, LI2 = .5, LI3 = 2 Resulting CDF is: 0, x < 0 I1, x E [0, 1] I2 - LI2 + E1, x E [1, 2] I3 - LI3 + (E1 + E2), x E [2, 3] 1, x > 3 Evaluated: 0 .25x^2 = x^2/4 .5x - .25 = x/2 - 1/4 1.5x - .25x^2 - 1.25 = 3/2x - x^2/4 - 5/4 1 SUMMARIZED: Current Integral (CI) - CI Lower Bound + Previous Integrals Evaluated

  • @Abhay_Vishwakarma_01
    @Abhay_Vishwakarma_01 Месяц назад

    Awesome explanation 😊❤😊

  • @__nightingale_09
    @__nightingale_09 Месяц назад

    Superb explanation 😊 thanks ma'am 🙌🏻💗

  • @davidcudjoe-f4k
    @davidcudjoe-f4k 2 месяца назад

    she is just a wonderful lady

  • @gofktumi
    @gofktumi 2 месяца назад

    clear

  • @slimshady6242
    @slimshady6242 2 месяца назад

    following your lecturs for past 5 years maam , you were truly a life saviour for me . Thankyou

    • @maths.tutor4u172
      @maths.tutor4u172 2 месяца назад

      "Thank you for your kind words and support-it means a lot!"

  • @harinderreddytallapureddy4585
    @harinderreddytallapureddy4585 2 месяца назад

    Mam could you please check the answer for 9th question. Thank you

  • @Toppakistani110
    @Toppakistani110 2 месяца назад

    Nice teachings method 🥰

  • @maths.tutor4u172
    @maths.tutor4u172 2 месяца назад

    Normal distribution activity starts at 2.10 min. Before that, I discussed how to install data analysis add-ins required in Excel.

  • @anxsin230
    @anxsin230 2 месяца назад

    I was soo confused between those limits 😞 and thanks alot...for helping us thank you ma'am ❤

  • @navaneetsingh2407
    @navaneetsingh2407 3 месяца назад

    Mam u just killed it

  • @ayomikeofe9617
    @ayomikeofe9617 3 месяца назад

    Thank you!

  • @gautam_banna
    @gautam_banna 3 месяца назад

    Very well explained. Thank you so much

  • @lyrics_4_U_
    @lyrics_4_U_ 3 месяца назад

    why in the cdf 4th integration the limit is 2 to x and not 2 to 3?

    • @maths.tutor4u172
      @maths.tutor4u172 3 месяца назад

      The upper limit in CDF calculation is a variable because it represents the value up to which we are accumulating probability from the PDF. As the variable changes, the CDF captures the cumulative probability up to that point.

  • @maths.tutor4u172
    @maths.tutor4u172 3 месяца назад

    There is a correction:- @ 4.30 , while explaining CDF on a number line, F(x)=1 for x >=3. Kindly rectify it

    • @greego5952
      @greego5952 3 месяца назад

      Thanks for the correction.

  • @indianband2012
    @indianband2012 4 месяца назад

    Can you explain how the inequalities can be inclusive on both ends for the cdf? Shouldn't some of them be just < instead of < or equal to? Thank you.

    • @maths.tutor4u172
      @maths.tutor4u172 4 месяца назад

      in continuous pdf function if you include or exclude the upper value of any interval in cdf does not matter though we usually follow one pattern like (a<=x<b) even if you put (a<=x<=b) that is also ok . But we cannot do that in discrete data set based ques to find CDF there we have to put only (a<=x<b) format

  • @AsifNirjhar
    @AsifNirjhar 4 месяца назад

    much appreciated

  • @BrightSimwela
    @BrightSimwela 4 месяца назад

    On question 2, I don't see the range

  • @abhinavroy8504
    @abhinavroy8504 4 месяца назад

    I was very confesed why we are taking 1 at the last though it has 0 for x>3 but now i understood thank u mam

  • @parwaagrawal
    @parwaagrawal 4 месяца назад

    Great Explanation ma'am👍🏼

  • @premanjalsharma9878
    @premanjalsharma9878 4 месяца назад

    Hare Krishna 🙏🏻🌸 Bestest❤

  • @patriciamthethwa2375
    @patriciamthethwa2375 4 месяца назад

    Thank you

  • @patriciamthethwa2375
    @patriciamthethwa2375 4 месяца назад

    Thank you

  • @JohnVKaravitis
    @JohnVKaravitis 4 месяца назад

    13:36 Integral of 0 is 0 + constant.

  • @SAhalya-zh2gw
    @SAhalya-zh2gw 5 месяцев назад

    Mam can you tell me from which textbook this example was taken from ?

  • @rajeshtamboli9111
    @rajeshtamboli9111 5 месяцев назад

    Most underrated channel on youtube , you're teaching is more expensive than the he teacher whom I pay thousands monthly

  • @adityapradhan8474
    @adityapradhan8474 5 месяцев назад

    Thank u so much! Good explanation :D

  • @MusondaMulenga-qi5jn
    @MusondaMulenga-qi5jn 5 месяцев назад

    Thank you👌, you have explained heat equations in 12 minutes that my lecturer couldn’t explain in 2 hours 👌

  • @KISAKYEBENJAMIN-gw6nc
    @KISAKYEBENJAMIN-gw6nc 6 месяцев назад

    Thanks madam for digesting the concept for me

  • @EmmanuelDanso-f8k
    @EmmanuelDanso-f8k 7 месяцев назад

    nice

  • @reveluv4982
    @reveluv4982 7 месяцев назад

    thank you, a lot of teachers ignored to mention the fact that when u have a 2nd order eqn you gotta check the k=0, k+ and k-, i saw them do it and i was really confused, your videos are short and brief but it answered most of my questions!

  • @rksadvancedclasses6387
    @rksadvancedclasses6387 7 месяцев назад

    F(x) = 1 hoga na greater then 3

    • @maths.tutor4u172
      @maths.tutor4u172 7 месяцев назад

      yes [ (CDF F(x)=1 for 3 and more than 3]

    • @roshini7369
      @roshini7369 3 месяца назад

      @@maths.tutor4u172 but 4:30 you said F(x) = 0 for the third interval ? it should be 1 right if its greater than 3

    • @maths.tutor4u172
      @maths.tutor4u172 3 месяца назад

      @@roshini7369 correct, By mistake, it was written 0, you are right it is 1, and after the derivative, it becomes 0.

  • @dinudu_shashmira
    @dinudu_shashmira 7 месяцев назад

    thanks a lot

  • @OfficialEworld
    @OfficialEworld 7 месяцев назад

    Best explnation

  • @jowlenejones
    @jowlenejones 7 месяцев назад

    Thank you so much for a clear explanation🤌🤌🤌