Self review: Statistics - Binomial Distribution

Click For Summary
SUMMARY

The discussion focuses on the Binomial Distribution, originally developed by Jacob Bernoulli in 1713, which describes the probability of obtaining exactly n successes in N Bernoulli trials. The mathematical representation of the Binomial Distribution is given by the equation P_p (N|n) = \binom{N}{n}p^n q^{N-n}, where q = 1-p. The conversation also touches on the historical context of the Binomial Coefficient, referencing notable figures such as Blaise Pascal and Sir Isaac Newton. The user expresses a desire to further explore the Normal Distribution as an approximation of the Binomial Distribution.

PREREQUISITES
  • Understanding of Binomial Distribution and its applications
  • Familiarity with Bernoulli trials and probability theory
  • Basic knowledge of LaTeX for mathematical notation
  • Awareness of Normal Distribution and its significance in statistics
NEXT STEPS
  • Study the derivation of the Binomial Distribution and its properties
  • Learn about Normal Distribution and its applications in statistical analysis
  • Research methods for analyzing deviations from Normal Distribution, including skewness and kurtosis
  • Explore the Gaussian Function and its role as the probability density function of the Normal Distribution
USEFUL FOR

Students of statistics, educators teaching probability theory, and anyone interested in the historical development of statistical concepts and their applications in data analysis.

eehiram
Messages
116
Reaction score
0

Homework Statement



The Binomial Distribution - already developed by Jacob Bernoulli (in 1713), et alii, before Abraham de Moivre (1667-1754 CE), et alii, developed the Normal Distribution as an approximation for it (id est, the Binomial Distribution) - gives the discrete probability distribution Pp (n|N) of obtaining exactly n successes out of N Bernoulli trials (where the result of each Bernoulli trial is true with probability p and false with probability q=1-p). Next: Normal Distribution...

Homework Equations



P_p (N|n) = \binom{N}{n}p^n q^{N-n}

The Attempt at a Solution



P_p (N|n) = \frac{N!}{n! (N-n)!} p^n (1-p)^{N-n}

This has been an attempt at self-review; and a chance to learn to use LaTex. Thanks for any replies to check my work!
 
Last edited:
Physics news on Phys.org
History of Binomial Coefficient

I have found a PDF online of the history of the Binomial Coefficient, tracing the many sources, exempli gratia:

a) Michael Stifel, Arithmetica Integra, 1544 CE

b) Blaise Pascal (1623-1662 CE), and his famous Pascal's Triangle

c) James Gregory, 1670 CE

d) Sir Isaac Newton, letter, October 1676 CE

I can post the link if requested to do so; such information is easy to find online and in textbooks and history-of-mathematics books.
 
eehiram said:

Homework Statement



The Binomial Distribution - already developed by Jacob Bernoulli (in 1713), et alii, before Abraham de Moivre (1667-1754 CE), et alii, developed the Normal Distribution as an approximation for it (id est, the Binomial Distribution) - gives the discrete probability distribution Pp (n|N) of obtaining exactly n successes out of N Bernoulli trials (where the result of each Bernoulli trial is true with probability p and false with probability q=1-p). Next: Normal Distribution...

Homework Equations



P_p (N|n) = \binom{N}{n}p^n q^{N-n}

The Attempt at a Solution



P_p (N|n) = \frac{N!}{n! (N-n)!} p^n (1-p)^{N-n}

This has been an attempt at self-review; and a chance to learn to use LaTex. Thanks for any replies to check my work!

What is there to check? That you wrote the binomial coefficient correctly? If that's your question, yes you did. Otherwise, what is your question?
 
Thanks for the feedback; I'm not sure, yet...

I appreciate the feedback. Thank you for verifying my correct posting with LaTex of the equations. (These were my 1st uses of LaTex.)

The derivations are not included; I tried to post in 2.5 hours, as it was my first time using the homework help sub-forum. So, I had to skip any additional content.

Thank you for your patience with me. There are several mathematical stages to Normal Distribution; this was intended to be one of them.

If encouraged to do so, I would like to post a few more equations pertaining to Normal Distribution and the buildup to such.

I'm trying to review the material from my probability and statistics textbook from 20 years ago; I haven't come up with an explicit question to ask about yet... Any interest in buildup to Normal Distribution is still appreciated!
 
Question on deviations from Normal Distribution

I have come up with a few questions, and will need to start a new thread for:
Normal Distribution:

1. What are the easiest analyses of deviations from Normal Distribution? (Exempli gratia: mean, variance, skewness, kurtosis)?

2. What is the frequency of departures from Normal Distribution when considering near-to-Normal Distribution data? (BTW the data need not be real data.)

3. How is the Gaussian Function resolved, as the probability density function of the Normal Distribution?

Thank you for replying. I intend to start the Normal Distribution thread soon, with the equation for Normal Distribution in LaTex again, and post my questions there as well.
 
Normal Distribution - self study / review

Please see my new thread, "Normal Distribution - self study / review":

for a thread on Normal Distribution, beginner's deviations from such, and a few other questions.
Thanks!
 

Similar threads

  • · Replies 15 ·
Replies
15
Views
2K
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 0 ·
Replies
0
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 5 ·
Replies
5
Views
6K
Replies
5
Views
3K
  • · Replies 5 ·
Replies
5
Views
5K
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K