Suppose there are n independent trials of an experiment with k>3 mutually exclusive outcomes, where pi represents the probability of observing the ith outcome. The ____________ for each possible outcome are given by Ei = __.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 6m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors15m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
4. Probability
Multiplication Rule: Independent Events
Problem 4.3.6
Textbook Question
Probability of a Girl Assuming that boys and girls are equally likely, find the probability of a couple having a boy when their third child is born, given that the first two children were both girls.
Verified step by step guidance1
Step 1: Understand the problem. The question asks for the probability of the third child being a boy, given that the first two children are girls. Note that the genders of the children are independent events, meaning the outcome of one child does not affect the outcome of another.
Step 2: Recall the basic probability rule. When boys and girls are equally likely, the probability of having a boy or a girl for any single child is 1/2 (or 0.5).
Step 3: Recognize that the condition provided (the first two children being girls) does not influence the probability of the third child’s gender. This is because the events are independent.
Step 4: Write the probability of the third child being a boy as P(Boy) = 1/2. This is based solely on the fact that boys and girls are equally likely, and the previous outcomes do not affect this probability.
Step 5: Conclude that the probability of the third child being a boy remains 1/2, regardless of the genders of the first two children. This is a key concept in understanding independent events in probability.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Conditional Probability
Conditional probability refers to the likelihood of an event occurring given that another event has already occurred. In this scenario, we are interested in the probability of having a boy as the third child, given that the first two children were girls. This concept is crucial for understanding how prior outcomes can influence the probability of future events.
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Independence of Events
In probability, two events are considered independent if the occurrence of one does not affect the occurrence of the other. In this case, the gender of the third child is independent of the genders of the first two children. This means that regardless of the first two being girls, the probability of the third child being a boy remains unchanged.
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Probability of Multiple Independent Events
Sample Space
The sample space is the set of all possible outcomes of a probabilistic experiment. For the birth of children, the sample space consists of combinations of boys and girls. In this problem, the relevant outcomes for the third child are 'boy' or 'girl', and understanding the sample space helps clarify the probabilities associated with each outcome.
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Sampling Distribution of Sample Proportion
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