Statistical Reasoning - Probability Models

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A set of flashcards covering key concepts and details related to probability models and statistical reasoning.

Last updated 2:50 AM on 11/19/25
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13 Terms

1
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What is a probability model?

A mathematical representation of a random phenomenon that describes all possible outcomes and assigns probabilities to them.

2
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What are the possible marital status outcomes for women aged 25 to 29 in the probability model?

Never Married, Married, Widowed, Divorced.

3
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How is the probability of 'not married' calculated?

P(not married) = P(never married) + P(widowed) + P(divorced) = 0.478 + 0.004 + 0.042 = 0.524.

4
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What does the complement of an event include?

All outcomes not in the event of interest.

5
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How is the complement of an event A denoted?

A’ (A prime).

6
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According to the rules of probability, what must the sum of the probabilities for all possible outcomes equal?

1.

7
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What is the relationship between events that are mutually exclusive?

The probability that one or the other occurs is the sum of their individual probabilities.

8
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What are the odds in relation to probability?

The ratio of the probability of an event happening to the probability of it not happening.

9
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How would you calculate the probability of the New England Patriots winning based on given odds of 6 to 1?

The probability of losing is 6/(6 + 1) = 6/7 and the probability of winning is 1/(6 + 1) = 1/7.

10
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What does the 68–95–99.7 rule state about normal distributions?

95% of all samples will give a sample proportion falling within 2 standard deviations of the mean.

11
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What was the mean proportion when surveying about childhood vaccinations?

0.710.

12
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What is the standard deviation of the sample proportions in the normal distribution discussed?

About 0.014.

13
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For the given normal distribution of sample proportions, what is the probability that between 68.2% and 73.8% will say 'Yes'?

0.95.