In the US, 45.1% of all people have type O blood, 39.6% have type A blood, 10.9% have type B blood and 4.4% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 614 millionaires. What can be concluded at the significant level of a = 0.05. For this study, we should use Chi-Square test for Goodness of Fit ✓ OP Your friend Caroline helped you with the null and alternative hypotheses... Ho: The distributions of blood types are the same between the general population and the millionaires. Ha: The distributions of blood types are NOT the same between the general population and the millionaires.
In the US, 45.1% of all people have type O blood, 39.6% have type A blood, 10.9% have type B blood and 4.4% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 614 millionaires. What can be concluded at the significant level of a = 0.05. For this study, we should use Chi-Square test for Goodness of Fit ✓ OP Your friend Caroline helped you with the null and alternative hypotheses... Ho: The distributions of blood types are the same between the general population and the millionaires. Ha: The distributions of blood types are NOT the same between the general population and the millionaires.
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
 to download the CSV file of data or copy/paste the data into Excel. After downloading the file, you may want to save it as an Excel Workbook.
#### Calculation of Expected Counts
To calculate the expected count for each blood type given the general population distribution:
- Expected Count for Type O: 45.1% of 614 = \( 0.451 \times 614 = 276.614 \)
- Expected Count for Type A: 39.6% of 614 = \( 0.396 \times 614 = 243.144 \)
- Expected Count for Type B: 10.9% of 614 = \( 0.109 \times 614 = 66.326 \)
- Expected Count for Type AB: 4.4% of 614 = \( 0.044 \times 614 = 27.016 \)
Updating the table with expected counts:
| Blood Type | Observed Count |](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1402ae89-ddd6-4d3d-be54-d5c5eea3ccbf%2Fb7e5769d-9ace-4adf-b990-2e32c0730e31%2Fe10m9l_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Analysis of Blood Type Distribution Among Millionaires
In the US, 45.1% of all people have type O blood, 39.6% have type A blood, 10.9% have type B blood, and 4.4% have type AB blood. A researcher wants to determine if the distribution of blood types is different among millionaires. The table below shows the results of a random sample of 614 millionaires. We will conduct a Chi-Square test at a significance level of α = 0.05 to draw conclusions from this data.
For this study, we should use the **Chi-Square test for Goodness of Fit**.
#### Hypotheses:
Your friend Caroline helped you with the null and alternative hypotheses:
- **Null Hypothesis (H₀):** The distributions of blood types are the same between the general population and the millionaires.
- **Alternative Hypothesis (Hₐ):** The distributions of blood types are NOT the same between the general population and the millionaires.
You drew 614 samples, and the observed frequencies are recorded below. Please complete the table (round answers to at least 4 decimal places).
| Blood Type | Observed Count | Expected Count |
|------------|-----------------|----------------|
| O | 274 | |
| A | 230 | |
| B | 57 | |
| AB | 53 | |
[Click here](#) to download the CSV file of data or copy/paste the data into Excel. After downloading the file, you may want to save it as an Excel Workbook.
#### Calculation of Expected Counts
To calculate the expected count for each blood type given the general population distribution:
- Expected Count for Type O: 45.1% of 614 = \( 0.451 \times 614 = 276.614 \)
- Expected Count for Type A: 39.6% of 614 = \( 0.396 \times 614 = 243.144 \)
- Expected Count for Type B: 10.9% of 614 = \( 0.109 \times 614 = 66.326 \)
- Expected Count for Type AB: 4.4% of 614 = \( 0.044 \times 614 = 27.016 \)
Updating the table with expected counts:
| Blood Type | Observed Count |
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 1 images

Recommended textbooks for you

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON

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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman