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# Probability : Interpretation of P(B|A) and P(B) and Comparison of Combination and Permutation

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1. This week we were introduced to new terminology and symbols. Please interpret the symbol P(B|A) and explain what is meant by the expression. Why is P(B|A) not the same as P(B)?

2. Consider the formulas: nPr =n!/(n-r)! and nCr = n!/(n-r)!r!
a. Given the same values for n and r in each formula, which is the smaller value, P or C? n = 10 and r = 2.

nPr = n!/(n-r)! = 10! / (10 - 2)! = 90

nCr = n!/(n-r)!r! = 10! / (10 - 2)!2! = 45
Value C is smaller.

How does this relate to the concept of counting the number of outcomes based on whether or not order is a criterion?

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Interpretation of P(B|A) and P(B) and Comparison of Combination and Permutation are performed. The solution is detailed and well presented. The response received a rating of "5" from the student who originally posted the question.

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1. This week we were introduced to a lot of terminology and symbols. Please interpret the symbol P(B │ A) and explain what is meant by the expression. Why is P(B │ A) not the same as ...

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• BSc , Wuhan Univ. China
• MA, Shandong Univ.
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• "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
• "excellent work"
• "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
• "Thank you"
• "Thank you very much for your valuable time and assistance!"

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