Let X represent the results of the toss of a fair die. Find the following probabilities. a. P(X =1) b. P(X=6) Let X represent the mean of the toss of two fair dice. Use the probabilities listed in...

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Answered Same DayDec 22, 2021

Answer To: Let X represent the results of the toss of a fair die. Find the following probabilities. a. P(X =1)...

David answered on Dec 22 2021
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Let X represent the results of the toss of a fair die. Find the following probabilities.
a. P(X =1)= 1/6
there are 6 faces
of a dice and one face has 1 on it so 1/6
b. P(X=6)= 1/6
there are 6 faces of a dice and one face has 6 on it so 1/6
Let X represent the mean of the toss of two fair dice. Use the probabilities listed in Table 9.2 to determine the following probabilities.
a. P(X=1)
We can get mean =1 only when both dice throw a 1. This is 1 out of the possible 36 options. so probability = 1/36
b. P(X=6)
We can get mean =6 only when both dice throw a 6. This is 1 out of the possible 36 options. so probability = 1/36
An experimental consists of tossing five balanced dice. Find the following probabilities. (Determine the exact probabilities as we did in Tables 9.1 and 9.2 for tow dice.)
a. P(X=1)
assuming X refers to mean of 5 dice. the required prob is 1/ 65
b. P(X=6)
assuming X refers to mean of 5 dice. the required prob is 1/ 65
Refer to Exercises 9.1 to 9.3. What do the probabilities tell you about the variances of X and X bar?
variance of X = npq whereas variance of x bar= pq/n
A normally distributed population has a mean of 40 and a standard deviation of 12. What does the central limit theorem say about the sampling...
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