Question

There is a difference between statistical probability and
theoretical probability.

The theoretical probability of rolling a die and getting a 3 is 1/6
= .167

Suppose you perform an experiment rolling a die ten times. (A
sampling of ten

rolls). Eight out of the ten times you roll a three, so you find
that

the statistical probability of rolling a three based on this
experiment is 8/10 = .8

**POSTING ASSIGNMENT**

The statistical probability above is very different from the
theorized

probability. (Read about the types of probability in the book
before answering)

**Part 1**: What are the issues here if any? Think
about sample size

and the law of large numbers. Think about other possibilities.

**Part 2:** Suppose you use a larger sample and the
results are the same?

Answer #1

**part 1**

We just did 10 times the experiment.. That's why die shows bias not equally likely.. Why this happened ? The answer to this is "Law of Large numbers"... . According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed.

**part 2**

Answer is not same as the previous one... Since it obey law of Large numbers ... As sample size increase by increase you can see the result approaches to 1/6

Dear Student Please thumbs up if you satisfied...

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Group of answer choices
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1,1
1,2
1,3
1,4
1,5
1,6
2,1
2,2
2,3
2,4
2,5
2,6
3,1
3,2
3,3
3,4
3,5
3,6
4,1
4,2
4,3
4,4
4,5
4,6
5,1
5,2
5,3
5,4
5,5
5,6
6,1
6,2
6,3
6,4
6,5
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a.
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b.
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