Statistics, how do you translate Bin(n,p) to say N(,) etc

  • Context: Undergrad 
  • Thread starter Thread starter mathpariah
  • Start date Start date
  • Tags Tags
    Statistics
Click For Summary
SUMMARY

This discussion focuses on the translation of statistical distributions, specifically from Binomial distribution Bin(n,p) to Normal distribution N(np, sqrt(npq)), where q = 1 - p, and from Poisson distribution Po(au) to Normal distribution N(xu, sqrt(xu)). The key condition for using the Normal approximation for the Binomial distribution is that both np and n(1-p) must be greater than or equal to 5. The conversation also touches on the use of two-sided intervals in hypothesis testing, particularly transitioning from a 95% to a 97.5% confidence level using the formula 1 - α/2.

PREREQUISITES
  • Understanding of Binomial distribution (Bin(n,p))
  • Familiarity with Normal distribution (N(mean, standard deviation))
  • Knowledge of Poisson distribution (Po(au))
  • Basic concepts of hypothesis testing and confidence intervals
NEXT STEPS
  • Study the conditions for using Normal approximation for Binomial distribution
  • Learn about the Central Limit Theorem and its implications for distribution approximations
  • Research the differences between Binomial, Poisson, and Normal distributions
  • Explore resources on confidence intervals and their calculations
USEFUL FOR

Students preparing for statistics exams, statisticians, data analysts, and anyone looking to deepen their understanding of statistical distribution approximations and hypothesis testing.

mathpariah
Messages
3
Reaction score
0
hey guys, some hopefully easy stat questions if you will

Im wondering about translating one statistical distribution to another, like going from:

Bin(n,p) to N(np,sqrt(npq)) where q=1-p

or that Po(au) is roughly equal to N(xu,sqrt(xu))

Im mostly sitting scratching my head on which method to use on each and every problem I am solving (Im studying for an exam in march). is there any chart or a really good and lightweight summary somewhere that can shed some light on this? like which method to use and how you can and why you need to translate them to another method, like in the examples above

Im also wondering when you need to use a two-sided interval, like youre going from a 95% to 97.5% by using 1-a/2 where a is the level

I could really use some help and would be grateful for any input

thanks
 
Physics news on Phys.org
mathpariah said:
hey guys, some hopefully easy stat questions if you will

Im wondering about translating one statistical distribution to another, like going from:

Bin(n,p) to N(np,sqrt(npq)) where q=1-p

or that Po(au) is roughly equal to N(xu,sqrt(xu))

Im mostly sitting scratching my head on which method to use on each and every problem I am solving (Im studying for an exam in march). is there any chart or a really good and lightweight summary somewhere that can shed some light on this? like which method to use and how you can and why you need to translate them to another method, like in the examples above

Im also wondering when you need to use a two-sided interval, like youre going from a 95% to 97.5% by using 1-a/2 where a is the level

I could really use some help and would be grateful for any input

thanks

To answer the first question, only if n*p and n*(1-p) are both 5 or greater can you use the normal distribution to approximate the binomial distribution. If these conditions are satisfied, then the binomial probability of exactly X successes in n trials approximately = the normal probability of getting a value between X-.5 and X+.5, with mean=np and sd=sqrt(npq). The binomial probability of the number of successes being less than or equal to X approximately = the normal probability of getting a value less than or equal to X+.5. The binomial probability of the number of successes being greater than or equal to X approximately = the normal probability of the number of successes being greater than or equal to X-.5.
 
moonman239 said:
To answer the first question, only if n*p and n*(1-p) are both 5 or greater can you use the normal distribution to approximate the binomial distribution. If these conditions are satisfied, then the binomial probability of exactly X successes in n trials approximately = the normal probability of getting a value between X-.5 and X+.5, with mean=np and sd=sqrt(npq). The binomial probability of the number of successes being less than or equal to X approximately = the normal probability of getting a value less than or equal to X+.5. The binomial probability of the number of successes being greater than or equal to X approximately = the normal probability of the number of successes being greater than or equal to X-.5.

thanks moonman.. I find the np and n(1-p)>5 limits curious but I can live with that.

Id be immensly appreciative if someone could look at my other questions too. does anyone know of a good summary website of basic distribution and WHEN to use which. like bin, po, N, chi square and t

thanks
 

Similar threads

  • · Replies 37 ·
2
Replies
37
Views
5K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 8 ·
Replies
8
Views
2K
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
5K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K