Lottery Luck In 1996, a New York couple won \$2.5 million in the state lottery. Eleven years later, the couple won \$5 million in the state lottery using the same set of numbers. The odds of winning the New York lottery twice are roughly 1 in 16 trillion, described by a lottery spokesperson as “galactically astronomical.” Although it is highly unlikely that an individual will win the lottery twice, it is not “galactically astronomical” that someone will win a lottery twice. Explain why this is the case.
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: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 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. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
4. Probability
Basic Concepts of Probability
Problem 5.T.11b
Textbook Question
The following represent the results of a survey in which individuals were asked to disclose what they perceive to be the ideal number of children.
b. What is the probability an individual is female and believes the ideal number of children is 2?

Verified step by step guidance1
Step 1: Identify the total number of individuals surveyed. This is given in the bottom right corner of the table, which is 297.
Step 2: Identify the number of individuals who are female and believe the ideal number of children is 2. From the table, this value is 87.
Step 3: Understand that the probability of an event is calculated as the number of favorable outcomes divided by the total number of possible outcomes. Here, the event is 'individual is female and believes the ideal number of children is 2'.
Step 4: Write the probability formula for this event as: \(P(\text{Female and ideal number of children is 2}) = \frac{\text{Number of females who prefer 2 children}}{\text{Total number of individuals}}\).
Step 5: Substitute the values from the table into the formula: \(P = \frac{87}{297}\). This fraction represents the probability asked for in the problem.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Joint Probability
Joint probability refers to the likelihood of two events occurring simultaneously. In this context, it is the probability that an individual is both female and prefers a specific number of children. It is calculated by dividing the count of individuals meeting both criteria by the total number of individuals surveyed.
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Contingency Table Interpretation
A contingency table displays the frequency distribution of variables and their combinations. Understanding how to read the rows and columns allows one to identify counts for specific groups, such as females who prefer 2 children, which is essential for calculating probabilities.
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Contingency Tables & Expected Frequencies
Probability Calculation from Frequency Data
Calculating probability from frequency data involves dividing the number of favorable outcomes by the total number of outcomes. Here, the probability that an individual is female and prefers 2 children is the frequency of females preferring 2 children divided by the total survey population.
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