Understanding Probability Distribution Tables

The video tutorial explains how to find missing probabilities in a probability distribution table. It emphasizes that the sum of all probabilities must equal one. The tutorial provides step-by-step calculations for two examples: finding the missing probability for X=55 and X=76. The process involves subtracting the sum of known probabilities from one to find the missing value. The video concludes with a brief summary and encouragement.

What is the key principle to remember when dealing with probability distribution tables?

• The sum of probabilities can be any value.

• The sum of probabilities must be zero.

• The sum of probabilities must be one.

• The sum of probabilities must be greater than one.

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How do you find the missing probability for x = 55 in the first table?

• Add all probabilities together.

• Subtract the sum of known probabilities from one.

• Divide the sum of known probabilities by two.

• Multiply all probabilities together.

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What is the sum of the known probabilities for x = 55?

• 0.8

• 0.7

• 0.9

• 1.0

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What is the missing probability for x = 55?

• 0.1

• 0.4

• 0.3

• 0.2

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In the second table, what is the missing probability for x = 76?

• 0.3

• 0.4

• 0.5

• 0.6

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What is the sum of the known probabilities for x = 76?

• 0.7

• 0.4

• 0.5

• 0.6

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How do you calculate the missing probability for x = 76?

• Subtract the sum of known probabilities from one.

• Divide the sum of known probabilities by two.

• Add all probabilities together.

• Multiply all probabilities together.

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CCSS.7.SP.C.7B

What is the final step in finding a missing probability in a distribution table?

• Add the missing probability to the known probabilities.

• Subtract the missing probability from the known probabilities.

• Ensure the total sum of probabilities equals one.

• Multiply the missing probability by the known probabilities.

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CCSS.7.SP.C.7B