5) According to the Center for Disease Control, 60.9% of college students nationwide are fully vaccinated for COVID. You wish to determine if the national average describes the mean vaccination rate for college students in San Francisco. You recruit a random sample of 48 college students in San Francisco to test the research question.
5) According to the Center for Disease Control, 60.9% of college students nationwide are fully vaccinated for COVID. You wish to determine if the national average describes the mean vaccination rate for college students in San Francisco. You recruit a random sample of 48 college students in San Francisco to test the research question.
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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Transcribed Image Text:5) According to the Center for Disease Control, 60.9% of college students nationwide are fully vaccinated for COVID. You wish to determine if the national average describes the mean vaccination rate for college students in San Francisco. You recruit a random sample of 48 college students in San Francisco to test the research question.
![### Understanding Statistical Tests: Independent Samples T-test and One Way ANOVA
#### Paired Samples T-test Formula:
\[ t = \frac{\sum D}{\sqrt{\frac{n(\sum D^2) - (\sum D)^2}{n - 1}}} \]
- **n**: Number of pairs of scores (e.g., 8 people measured at two times, df = 8-1 = 7)
- **D**: Difference between each pair of scores
- \(\sum D\): Sum of the differences
- \(\sum D^2\): Sum of the squares of the differences
- (\(\sum D\))^2: Sum of the differences squared
---
#### Independent Samples T-test Formula:
\[ t = \frac{\bar{X_1} - \bar{X_2}}{\sqrt{\frac{S_1^2}{n_1-1} + \frac{S_2^2}{n_2-1}}} \]
- \(\bar{X_1}\), \(\bar{X_2}\): Means of the first and second groups, respectively
- \(S_1^2\), \(S_2^2\): Sample variances of the first and second groups
- \(n_1\), \(n_2\): Number of subjects or observations in each group
*Note: Calculate the denominator carefully and be aware of whether you're using sample variances or standard deviations.*
---
#### One Way ANOVA:
**Between Groups Sum of Squares (SSB):**
1. Subtract the grand mean from each group mean.
2. Square the deviation.
3. Multiply by n in each group and add the values together.
\[ SS_B = \sum n (\bar{X}_i - \bar{X}_g)^2 \]
- **n**: Number of subjects or observations in a group
- \(\bar{X}_i\): Mean for any group i
- \(\bar{X}_g\): Overall or grand mean
**Within Groups Sum of Squares (SSW):**
1. Subtract each group's mean from the individual scores.
2. Add them all up.
\[ SS_W = \sum\sum (X - \bar{X}_i)^2 \]
- **X**: Any single score within a particular group
**ANOVA Table Components:](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7dee35c8-07bc-4f6f-8047-1c0be93c606e%2F7b97b3c5-ae72-46c2-bb5c-ebf70a636b74%2Ftkvr9n_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Understanding Statistical Tests: Independent Samples T-test and One Way ANOVA
#### Paired Samples T-test Formula:
\[ t = \frac{\sum D}{\sqrt{\frac{n(\sum D^2) - (\sum D)^2}{n - 1}}} \]
- **n**: Number of pairs of scores (e.g., 8 people measured at two times, df = 8-1 = 7)
- **D**: Difference between each pair of scores
- \(\sum D\): Sum of the differences
- \(\sum D^2\): Sum of the squares of the differences
- (\(\sum D\))^2: Sum of the differences squared
---
#### Independent Samples T-test Formula:
\[ t = \frac{\bar{X_1} - \bar{X_2}}{\sqrt{\frac{S_1^2}{n_1-1} + \frac{S_2^2}{n_2-1}}} \]
- \(\bar{X_1}\), \(\bar{X_2}\): Means of the first and second groups, respectively
- \(S_1^2\), \(S_2^2\): Sample variances of the first and second groups
- \(n_1\), \(n_2\): Number of subjects or observations in each group
*Note: Calculate the denominator carefully and be aware of whether you're using sample variances or standard deviations.*
---
#### One Way ANOVA:
**Between Groups Sum of Squares (SSB):**
1. Subtract the grand mean from each group mean.
2. Square the deviation.
3. Multiply by n in each group and add the values together.
\[ SS_B = \sum n (\bar{X}_i - \bar{X}_g)^2 \]
- **n**: Number of subjects or observations in a group
- \(\bar{X}_i\): Mean for any group i
- \(\bar{X}_g\): Overall or grand mean
**Within Groups Sum of Squares (SSW):**
1. Subtract each group's mean from the individual scores.
2. Add them all up.
\[ SS_W = \sum\sum (X - \bar{X}_i)^2 \]
- **X**: Any single score within a particular group
**ANOVA Table Components:
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According to the Center for Disease Control, 60.9% of college students nationwide are fully vaccinated for COVID. You wish to determine if the national average describes the mean vaccination rate for college students in San Francisco. You recruit a random sample of 48 college students in San Francisco to test the research question.
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