A researcher believes that among the type A blood, 10% have type B blood a residents and finds that 20 had type 0 blood. Do the data follow the hypothesized d your answers to three decimal places, Null hypothesis: Ho: Po = 0.3, PA = 0.5, PB
A researcher believes that among the type A blood, 10% have type B blood a residents and finds that 20 had type 0 blood. Do the data follow the hypothesized d your answers to three decimal places, Null hypothesis: Ho: Po = 0.3, PA = 0.5, PB
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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Question
![A researcher is studying the blood type distribution in a remote community where it's believed 30% have type O blood, 50% have type A, 10% have type B, and 10% have type AB. A sample of 80 residents shows 20 with type O, 40 with type A, 12 with type B, and 8 with type AB. The goal is to determine if the observed data fit the hypothesized distribution using a significance level of \(\alpha = 0.05\).
### Hypotheses
**Null Hypothesis (\(H_0\)):**
- \(p_O = 0.3\), \(p_A = 0.5\), \(p_B = 0.1\), \(p_{AB} = 0.1\)
**Alternative Hypothesis (\(H_a\)):**
- At least one of the proportions is different.
### Observed Counts
- **Type O:** 20
- **Type A:** 40
- **Type B:** 12
- **Type AB:** 8
### Expected Counts under Null Hypothesis
- **Type O:** 24
- **Type A:** 40
- **Type B:** 8
- **Type AB:** 8
### Contributions to Test Statistic
- **Type O:** 0.667
- **Type A:** 0
- **Type B:**
- **Type AB:** 0
The structure and calculation of the test statistics involve comparing observed counts with expected counts based on hypothesized proportions and determining discrepancies.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F56888ea7-2c48-4c08-b7fb-3bfa96ffdacf%2F1d084199-6906-4088-9426-5ce358c9e823%2Faxl6nx7_processed.png&w=3840&q=75)
Transcribed Image Text:A researcher is studying the blood type distribution in a remote community where it's believed 30% have type O blood, 50% have type A, 10% have type B, and 10% have type AB. A sample of 80 residents shows 20 with type O, 40 with type A, 12 with type B, and 8 with type AB. The goal is to determine if the observed data fit the hypothesized distribution using a significance level of \(\alpha = 0.05\).
### Hypotheses
**Null Hypothesis (\(H_0\)):**
- \(p_O = 0.3\), \(p_A = 0.5\), \(p_B = 0.1\), \(p_{AB} = 0.1\)
**Alternative Hypothesis (\(H_a\)):**
- At least one of the proportions is different.
### Observed Counts
- **Type O:** 20
- **Type A:** 40
- **Type B:** 12
- **Type AB:** 8
### Expected Counts under Null Hypothesis
- **Type O:** 24
- **Type A:** 40
- **Type B:** 8
- **Type AB:** 8
### Contributions to Test Statistic
- **Type O:** 0.667
- **Type A:** 0
- **Type B:**
- **Type AB:** 0
The structure and calculation of the test statistics involve comparing observed counts with expected counts based on hypothesized proportions and determining discrepancies.
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