In computing classical probabilities, all outcomes must be equally likely. Explain what this means.
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 5.1.1f
Textbook Question
Define each of the following.
f. Impossible event
Verified step by step guidance1
Understand that in probability theory, an event is a set of outcomes from a random experiment.
An impossible event is an event that cannot occur under any circumstances in the given experiment.
Formally, the probability of an impossible event is zero, which can be written as \(P(\text{impossible event}) = 0\).
For example, if you roll a standard six-sided die, the event of rolling a 7 is impossible because 7 is not a possible outcome.
Thus, defining an impossible event involves recognizing that it has no outcomes in the sample space and its probability is zero.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Impossible Event
An impossible event is an outcome in a probability experiment that cannot occur under any circumstances. Its probability is always zero, meaning there is no chance of it happening. For example, rolling a 7 on a standard six-sided die is an impossible event.
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Probability of Multiple Independent Events
Probability of an Event
The probability of an event measures the likelihood that the event will occur, expressed as a number between 0 and 1. A probability of 0 means the event is impossible, while a probability of 1 means the event is certain. Understanding this helps in classifying events like impossible or certain.
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Probability of Multiple Independent Events
Sample Space
The sample space is the set of all possible outcomes in a probability experiment. It provides the context for defining events, including impossible events, which are subsets of the sample space with no elements. Knowing the sample space is essential to identify and define events properly.
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Sampling Distribution of Sample Proportion
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