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Ch. 3 - Probability
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470Non è quello che usi tu?Cambia libro di testo
Tutti i libri di testoLarson 8th EditionCh. 3 - ProbabilityProblema 3.1.32
Capitolo 3, Problema 3.1.32

Identifying the Sample Space of a Probability Experiment In Exercises 25-32, identify the sample space of the probability experiment and determine the number of outcomes in the sample space. Draw a tree diagram when appropriate.
32. Rolling a six-sided die, tossing two coins, and spinning the fair spinner shown

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Step 1: Understand the components of the probability experiment. The experiment involves rolling a six-sided die, tossing two coins, and spinning a fair spinner with three sections labeled 1, 2, and 3.
Step 2: Identify the sample space for each individual component. For the six-sided die, the sample space is {1, 2, 3, 4, 5, 6}. For the two coins, each coin has two possible outcomes: {Heads, Tails}, resulting in a combined sample space of {HH, HT, TH, TT}. For the spinner, the sample space is {1, 2, 3}.
Step 3: Combine the sample spaces of all components to form the overall sample space. Since the outcomes of the die, coins, and spinner are independent, the total sample space is the Cartesian product of the individual sample spaces.
Step 4: Calculate the total number of outcomes in the sample space. Multiply the number of outcomes for each component: 6 outcomes for the die × 4 outcomes for the coins × 3 outcomes for the spinner = 72 total outcomes.
Step 5: Draw a tree diagram to visually represent the sample space. Start with the outcomes of the die, branch out to the outcomes of the coins, and then branch further to the outcomes of the spinner. This will help illustrate all possible combinations of outcomes.

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Sample Space

The sample space of a probability experiment is the set of all possible outcomes. For the given experiment of rolling a die, tossing two coins, and spinning a spinner, the sample space includes every combination of results from these actions. Understanding the sample space is crucial for calculating probabilities and analyzing the experiment.
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Sampling Distribution of Sample Proportion

Probability

Probability is a measure of the likelihood of an event occurring, expressed as a number between 0 and 1. In this context, it can be calculated by dividing the number of favorable outcomes by the total number of outcomes in the sample space. Knowing how to compute probabilities helps in making informed predictions about the results of the experiment.
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Introduction to Probability

Tree Diagram

A tree diagram is a visual representation used to illustrate all possible outcomes of a probability experiment. Each branch of the tree represents a possible outcome from one action, leading to further branches for subsequent actions. This tool is particularly useful for organizing complex experiments, such as the one described, making it easier to identify the sample space and calculate probabilities.
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Probability of Mutually Exclusive Events
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Odds The chances of winning are often written in terms of odds rather than probabilities. The odds of winning is the ratio of the number of successful outcomes to the number of unsuccessful outcomes. The odds of losing is the ratio of the number of unsuccessful outcomes to the number of successful outcomes. For example, when the number of successful outcomes is 2 and the number of unsuccessful outcomes is 3, the odds of winning are 2 : 3 (read "2 to 3"). In Exercises 91-96, use this information about odds.

94. A card is picked at random from a standard deck of 52 playing cards. Find the odds that it is a spade.

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Using the Fundamental Counting Principle In Exercises 37-40, use the Fundamental Counting Principle.

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Identifying the Sample Space of a Probability Experiment In Exercises 25-32, identify the sample space of the probability experiment and determine the number of outcomes in the sample space. Draw a tree diagram when appropriate.

31. Rolling a pair of six-sided dice

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