Binomial distribution regarding: (≤, >, etc.)

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Discussion Overview

The discussion revolves around calculating probabilities for a binomial random variable, specifically addressing how to interpret and use values from a binomial probability table. Participants explore various probability scenarios including cumulative probabilities and specific ranges.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant questions the interpretation of cumulative probabilities in the binomial table, expressing confusion about how individual probabilities contribute to cumulative results.
  • Another participant clarifies that the values in the table are cumulative, providing a formula for calculating specific probabilities based on cumulative values.
  • A participant proposes a method for calculating P(X > 10) using the complement of the cumulative probability up to 10, but expresses uncertainty about the result.
  • Another participant critiques the calculation for P(6 ≤ X ≤ 11), noting that the inclusion of 12 in the range leads to an incorrect result and provides the correct approach to find the desired probability.

Areas of Agreement / Disagreement

Participants show some agreement on the cumulative nature of the binomial table values, but there remains disagreement and confusion regarding specific calculations and interpretations of the probabilities.

Contextual Notes

Participants express uncertainty about the correct application of cumulative probabilities and the implications of including or excluding certain values in their calculations.

Who May Find This Useful

Students or individuals studying probability theory, particularly those working with binomial distributions and probability tables.

iamlorde
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Question is as follows:

Let X be a binomial random variable with p = 0 2 .
and n = 20. Use the binomial table in Appendix A to determine
the following probabilities.
(a) P(X ≤ 3) (b) P(X > 10)
(c) P(X = 6) (d) P(6 ≤ X ≤ 11)

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(a) = 0.4114 is the answer. Yet all I see from this answer is that X is simple equal to "0.4114". If it is "X ≤ 3" shouldn't "0.2061", "0.0692", and "0.0115" contribute to the answer somehow because they are "<" smaller than 3?

I feel like I may be missing a fundamental element here. How do I proceed with these in general? My logic seems flawed on this matter.

For example: (c) = 0.9133-0.8042=0.1091; how is this possible. Why isn't this straight out "0.9133", the value directly next to #6?

Please enlighten me on this matter. Thank you.
 
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The numbers in the column of your table are cumulative, and so for a) you would simply read from the table to get:

a) $$P(x\le3)=0.4114$$

And for c), you would do the following:

c) $$P(x=6)=P(x\le6)-P(x\le5)=0.9133-0.8042=0.1091$$

How do you now suppose you would do parts b) and d)?
 
So, I would think,

(b) P(X > 10) = [!not](everything up to and including 10) = 1-0.9994 = 0.0006

(d) P(6 ≤ X ≤ 11) :

X is between 6 and 11, AND it includes them both, so I choose one above 11, so 12 which is: 1.0000. Then I choose one below 6, so 5, so that I can include 6. Hence: 0.8042.

Now I subtract: 1 - 0.8042 = 0.1958 (YET THIS IS FALSE)
My solution says: 0.1957?
 
Your solution for (d) is almost correct. The problem is that you've calculated $\mathbb{P}(6 \leq X \leq 12)$ because you've also included $12$. We have

$$\mathbb{P}(6 \leq X \leq 11) = \mathbb{P}(X \in \{6,7,8,9,10,11\}) = \mathbb{P}(X \leq 11) - \mathbb{P}(X \leq 5) = 0.1957$$.
 

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