4. Now imagine that you roll two dice, one red and one green. What are the possible sample means that you could have? Complete the following table, entering the sample mean number of pips for each of the 36 possible outcomes. Some have been done for you. 1 2 . 3 4 6 1 2 1.5 3 2.5 6 2. 3456

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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### Educational Website Transcription and Analysis

#### Activity Overview

This exercise involves rolling two dice, one red and one green, to explore the possible sample means of pips (dots) on the dice. Students are required to complete a table, derive a probability distribution, and sketch a probability histogram based on the sample means.

#### 4. Sample Mean Table Completion Task

**Instructions:** 
Calculate the sample mean number of pips for each of the 36 possible outcomes when rolling two dice. Some entries have been filled in as examples.

**Table:**
- Rows represent the result of the red die (1 to 6).
- Columns represent the result of the green die (1 to 6).
- Each cell contains the sample mean \( \bar{X} \), the average of the two numbers rolled.

**Examples Provided in Table:**
- \( \bar{X} = 1, 1.5, 2, 2.5, 3, 6 \) for different combinations of dice rolls.

#### 5. Probability Distribution Table Construction

**Task:** 
Using the sample means identified in step 4, construct a probability distribution table for \( \bar{X} \), the mean number of pips on the faces when rolling two dice.

**Table Format:**
- Column 1: Sample mean (\( x \))
- Column 2: Probability \( P(x) \) of each mean occurring.

#### 6. Sketching the Probability Histogram

**Instructions:** 
Draw the probability histogram for \( \bar{X} \) using the data from your probability distribution table and compare the results with those observed in Question #2 (not provided in this excerpt).

**Histogram Description:**
- The x-axis represents the possible sample means.
- The y-axis represents the probability of each mean.
- The histogram should visually show the distribution of sample means based on the calculated probabilities.

This exercise helps to understand the distribution of outcomes and probabilities when averaging results from rolling two dice, reinforcing concepts of probability and statistics.
Transcribed Image Text:### Educational Website Transcription and Analysis #### Activity Overview This exercise involves rolling two dice, one red and one green, to explore the possible sample means of pips (dots) on the dice. Students are required to complete a table, derive a probability distribution, and sketch a probability histogram based on the sample means. #### 4. Sample Mean Table Completion Task **Instructions:** Calculate the sample mean number of pips for each of the 36 possible outcomes when rolling two dice. Some entries have been filled in as examples. **Table:** - Rows represent the result of the red die (1 to 6). - Columns represent the result of the green die (1 to 6). - Each cell contains the sample mean \( \bar{X} \), the average of the two numbers rolled. **Examples Provided in Table:** - \( \bar{X} = 1, 1.5, 2, 2.5, 3, 6 \) for different combinations of dice rolls. #### 5. Probability Distribution Table Construction **Task:** Using the sample means identified in step 4, construct a probability distribution table for \( \bar{X} \), the mean number of pips on the faces when rolling two dice. **Table Format:** - Column 1: Sample mean (\( x \)) - Column 2: Probability \( P(x) \) of each mean occurring. #### 6. Sketching the Probability Histogram **Instructions:** Draw the probability histogram for \( \bar{X} \) using the data from your probability distribution table and compare the results with those observed in Question #2 (not provided in this excerpt). **Histogram Description:** - The x-axis represents the possible sample means. - The y-axis represents the probability of each mean. - The histogram should visually show the distribution of sample means based on the calculated probabilities. This exercise helps to understand the distribution of outcomes and probabilities when averaging results from rolling two dice, reinforcing concepts of probability and statistics.
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