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Introductory Statistics Study Guide: Conditional Probability & Independence

스터디 가이드 - 스마트 노트

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Q1. What is the probability that at least one of the weatherman's 320 forecasts is incorrect?

Background

Topic: Probability of Complementary Events

This question tests your understanding of the complement rule in probability, specifically for repeated independent events.

Key Terms and Formulas

  • Complement Rule:

  • Probability of no errors in 320 forecasts: , where is the probability of being wrong.

Step-by-Step Guidance

  1. Identify the probability of being wrong for a single forecast: .

  2. Calculate the probability of being correct for a single forecast: .

  3. Find the probability that all 320 forecasts are correct: .

  4. Apply the complement rule to find the probability that at least one forecast is incorrect: .

Try solving on your own before revealing the answer!

Final Answer: 0.99 (or 99%)

With so many forecasts, the probability that at least one is incorrect is extremely high.

Q2. If a student is selected at random, what is the probability the student wants to be Popular?

Background

Topic: Basic Probability from a Two-Way Table

This question tests your ability to calculate simple probabilities using frequency tables.

Key Terms and Formulas

  • Probability:

Table of student goals by sex

Step-by-Step Guidance

  1. Find the total number of students: Add all values in the table.

  2. Find the number of students who want to be popular: Add the "Be Popular" values for boys and girls.

  3. Set up the probability formula:

Try solving on your own before revealing the answer!

Final Answer: 0.295 (or 29.5%)

141 out of 478 students want to be popular.

Q3. What is the probability the student wants to be popular given it is a girl?

Background

Topic: Conditional Probability

This question tests your understanding of conditional probability using a two-way table.

Conditional probability formula and independenceTable of student goals by sex

Key Terms and Formulas

  • Conditional Probability:

Step-by-Step Guidance

  1. Find the total number of girls: Add all values in the "Girls" row.

  2. Find the number of girls who want to be popular: Use the "Be Popular" value for girls.

  3. Set up the conditional probability formula:

Try solving on your own before revealing the answer!

Final Answer: 0.385 (or 38.5%)

About 38.5% of girls surveyed want to be popular.

Q4. What is the probability the student is a girl given we selected a student wanting to be popular?

Background

Topic: Conditional Probability (Reverse)

This question tests your ability to reverse the conditioning in probability using a two-way table.

Conditional probability formula and independenceTable of student goals by sex

Key Terms and Formulas

  • Conditional Probability:

Step-by-Step Guidance

  1. Find the total number of students who want to be popular: Add "Be Popular" values for boys and girls.

  2. Find the number of girls who want to be popular: Use the "Be Popular" value for girls.

  3. Set up the conditional probability formula:

Try solving on your own before revealing the answer!

Final Answer: 0.646 (or 64.6%)

About 64.6% of students who want to be popular are girls.

Q5. Are being Popular and being a Girl independent?

Background

Topic: Independence of Events

This question tests your understanding of independence in probability, using conditional and marginal probabilities.

Conditional probability formula and independence

Key Terms and Formulas

  • Events are independent if

Step-by-Step Guidance

  1. Recall the probability a student wants to be popular:

  2. Recall the probability a student wants to be popular given they are a girl:

  3. Compare these two probabilities. If they are equal, the events are independent; if not, they are dependent.

Try solving on your own before revealing the answer!

Final Answer: Not independent

and are not equal, so the events are not independent.

Being a girl affects the probability of wanting to be popular.

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