In the US, 46.6% of all people have type O blood, 39.6% have type A blood, 10% have type B blood and 3.8% 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 803 millionaires. What can be concluded
In the US, 46.6% of all people have type O blood, 39.6% have type A blood, 10% have type B blood and 3.8% 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 803 millionaires. What can be concluded at the significant level of ALPHA = 0.01. Round answers to 4 decimal places.
1) State the hypotheses:
2) You drew 803 samples, and the observed frequencies are recorded below. Find the
| Blood Type | Observed Frequency |
Expected Frequency |
| O | 374 | |
| A | 297 | |
| B | 73 | |
| AB | 59 |
The test-statistic for this data =
The p-value for this sample =
The p-value is
- greater than �
- less than (or equal to) �
3) Base on this, we should hypothesis
As such, the final conclusion is that...
- Based on the sample data, there is sufficient evidence to claim that the distributions of blood types are not the same between the general population and the millionaires at the significance level of � = 0.01.
- Based on the sample data, there is not sufficient evidence to claim that the distributions of blood types are not the same between the general population and the millionaires at the significance level of � = 0.01.
46.6% of all people have type O blood.
39.6% have type A blood.
10% have type B blood.
3.8% have type AB blood.
The data values are shown below:
| Blood Type | Observed Frequency |
| O | 374 |
| A | 297 |
| B | 73 |
| AB | 59 |
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