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
icon
Related questions
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.
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:
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:
Expert Solution
Step 1

Given information:

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.

steps

Step by step

Solved in 3 steps

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman