The normal approximation to the binomial

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SUMMARY

The discussion focuses on the normal approximation to the binomial distribution, specifically using the formula Pr(X<=x) = (x + 0.5 - n*p) / sqrt(n*p*(1-p)). With n set to 1150 and p at 0.02, the user calculated Pr(X<23) as 0.105316. However, the correct approach requires using x = 22 for the calculation, as the question specifies "less than 23". The user is advised to consult normal distribution tables or use a calculator to find the corresponding probability value.

PREREQUISITES
  • Understanding of binomial distribution
  • Familiarity with normal approximation techniques
  • Knowledge of standard deviation and variance calculations
  • Experience with statistical tables or calculators
NEXT STEPS
  • Study the Central Limit Theorem and its implications for binomial distributions
  • Learn how to use normal distribution tables effectively
  • Practice calculating probabilities using different values of n and p
  • Explore statistical software tools like R or Python for binomial approximations
USEFUL FOR

Students in statistics, educators teaching probability theory, and anyone looking to understand the application of normal approximation in binomial distributions.

TyErd
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Homework Statement


I've attached the question

Homework Equations


Pr(X<=x)= (x + 0.5 - n*p) / sqrt(n*p*(1-p))

The Attempt at a Solution


okay so n=1150, p=0.02 , Pr(X<23)

=23 + 0.5 - 1150(0.02) / sqrt(1150*0.02*0.98)
=0.105316

is that bit right so far. Because it is less than i thought x might've been 22 instead of 23 so when i did that it equaled -0.105316

im not sure what do after that. Am i suppose to find that value in the normal distribution tables or something?
 

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TyErd said:

Homework Statement


I've attached the question

Homework Equations


Pr(X<=x)= (x + 0.5 - n*p) / sqrt(n*p*(1-p))

The Attempt at a Solution


okay so n=1150, p=0.02 , Pr(X<23)

=23 + 0.5 - 1150(0.02) / sqrt(1150*0.02*0.98)
=0.105316

is that bit right so far. Because it is less than i thought x might've been 22 instead of 23 so when i did that it equaled -0.105316

im not sure what do after that. Am i suppose to find that value in the normal distribution tables or something?

Your first equation makes no sense. Perhaps you meant to write
P(X \leq x) \approx P\left( Z \leq \frac{x + 1/2 - n p)}{\sqrt{n p (1-p)}} \right)?
For n = 1150, p = 0.02 and x = 23, we have P(Z \leq 0.105316), which is similar to what you said---although I am not sure, from what you wrote, that you really understand this. Of course, the question said "less than 23", which means <= 22, so you ought to use x = 22 in the formula. At this point you need to find the probability value from normal tables, or a spreadsheet, or by pressing a button on some brands of hand-held calculators.

RGV
 
Last edited:

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