The expected observations for this table would be...? Round all answers to three decimal places. Category A B Population #1 Population #2 What is the chi-square test-statistic for this data? Round to three decimal places.
The expected observations for this table would be...? Round all answers to three decimal places. Category A B Population #1 Population #2 What is the chi-square test-statistic for this data? Round to three decimal places.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![The image provides an example of how to test for a relationship between categories and populations using a chi-square test. Here's a transcription and an explanation:
---
**Table 1: Observed Frequencies**
| Category | Population #1 | Population #2 |
|----------|---------------|---------------|
| A | 18 | 13 |
| B | 54 | 51 |
---
The task is to calculate the expected observations for the above table and fill in the following table, rounding all answers to three decimal places.
**Table 2: Expected Frequencies**
| Category | Population #1 | Population #2 |
|----------|---------------|---------------|
| A | [ ] | [ ] |
| B | [ ] | [ ] |
---
**Chi-Square Test:**
The final step is to calculate the chi-square test statistic for this data, also rounded to three decimal places.
\[ \chi^2 = [ ] \]
This example provides a basic framework for conducting a chi-square test, which compares observed frequencies to expected frequencies to assess if there is a significant relationship between the categories and populations being studied.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F97b5df25-1667-438a-b46e-c2a0d1ae7c86%2Fbe20804a-1552-4827-8c41-2a0f1fc05f26%2Fdgx4uwm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The image provides an example of how to test for a relationship between categories and populations using a chi-square test. Here's a transcription and an explanation:
---
**Table 1: Observed Frequencies**
| Category | Population #1 | Population #2 |
|----------|---------------|---------------|
| A | 18 | 13 |
| B | 54 | 51 |
---
The task is to calculate the expected observations for the above table and fill in the following table, rounding all answers to three decimal places.
**Table 2: Expected Frequencies**
| Category | Population #1 | Population #2 |
|----------|---------------|---------------|
| A | [ ] | [ ] |
| B | [ ] | [ ] |
---
**Chi-Square Test:**
The final step is to calculate the chi-square test statistic for this data, also rounded to three decimal places.
\[ \chi^2 = [ ] \]
This example provides a basic framework for conducting a chi-square test, which compares observed frequencies to expected frequencies to assess if there is a significant relationship between the categories and populations being studied.
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