Column Mean Conditions 1 and 2 Condition 1 Scores Condition 2 Scores 10 6 12 5 9 3 2 7 8 8 10 8 5 3 2 4 7 8 8 10 4 3 2 2 5 7 4 8
Column Mean Conditions 1 and 2 Condition 1 Scores Condition 2 Scores 10 6 12 5 9 3 2 7 8 8 10 8 5 3 2 4 7 8 8 10 4 3 2 2 5 7 4 8
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Question: What is the correct standard deviation for Condition 1 and Condition 2?
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### Conditions 1 and 2
Below is a table that illustrates the scores for two different conditions. Each column represents the scores for Condition 1 and Condition 2 respectively.
| Condition 1 Scores | Condition 2 Scores |
|--------------------|--------------------|
| 10 | 2 |
| 6 | 4 |
| 12 | 7 |
| 5 | 8 |
| 9 | 8 |
| 3 | 10 |
| 2 | 4 |
| 7 | 3 |
| 8 | 2 |
| 8 | 2 |
| 10 | 5 |
| 8 | 7 |
| 5 | 4 |
| 3 | 8 |
| | |
| **Column Mean** | |
In this table, the left column contains the scores for Condition 1 and the right column contains the scores for Condition 2. Each row corresponds to a paired observation for the two conditions. At the bottom of each column, the mean score or average for each condition can be calculated.
To illustrate, the scores for Condition 1 are: 10, 6, 12, 5, 9, 3, 2, 7, 8, 8, 10, 8, 5, and 3. The mean score for Condition 1 can be calculated as follows:
\[
\text{Mean}_{\text{Condition 1}} = \frac{\sum \text{Scores}_{\text{Condition 1}}}{\text{Number of Scores}}
\]
Similarly, the scores for Condition 2 are: 2, 4, 7, 8, 8, 10, 4, 3, 2, 2, 5, 7, 4, and 8. The mean score for Condition 2 can be computed using the same formula above but substituting the scores appropriately.
### Calculating the Column Mean:
For educational purposes, we will leave it as an exercise to calculate the mean for each condition based on the provided data.
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Transcribed Image Text:---
### Conditions 1 and 2
Below is a table that illustrates the scores for two different conditions. Each column represents the scores for Condition 1 and Condition 2 respectively.
| Condition 1 Scores | Condition 2 Scores |
|--------------------|--------------------|
| 10 | 2 |
| 6 | 4 |
| 12 | 7 |
| 5 | 8 |
| 9 | 8 |
| 3 | 10 |
| 2 | 4 |
| 7 | 3 |
| 8 | 2 |
| 8 | 2 |
| 10 | 5 |
| 8 | 7 |
| 5 | 4 |
| 3 | 8 |
| | |
| **Column Mean** | |
In this table, the left column contains the scores for Condition 1 and the right column contains the scores for Condition 2. Each row corresponds to a paired observation for the two conditions. At the bottom of each column, the mean score or average for each condition can be calculated.
To illustrate, the scores for Condition 1 are: 10, 6, 12, 5, 9, 3, 2, 7, 8, 8, 10, 8, 5, and 3. The mean score for Condition 1 can be calculated as follows:
\[
\text{Mean}_{\text{Condition 1}} = \frac{\sum \text{Scores}_{\text{Condition 1}}}{\text{Number of Scores}}
\]
Similarly, the scores for Condition 2 are: 2, 4, 7, 8, 8, 10, 4, 3, 2, 2, 5, 7, 4, and 8. The mean score for Condition 2 can be computed using the same formula above but substituting the scores appropriately.
### Calculating the Column Mean:
For educational purposes, we will leave it as an exercise to calculate the mean for each condition based on the provided data.
---
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