In the US, 45.9% of all people have type O blood, 39.7% have type A blood, 11.2% have type B blood and 3.2% 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 569 millionaires. What can be concluded at the significant level of a = 0.01.   The test-statistic for this data =   The p-value for this sample =

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In the US, 45.9% of all people have type O blood, 39.7% have type A blood, 11.2% have type B blood and 3.2% 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 569 millionaires. What can be concluded at the significant level of a = 0.01.

 

The test-statistic for this data =  

The p-value for this sample =

Your friend Lucía helped you with the null and alternative hypotheses...
Ho: The distributions of blood types are the same between the general population and the millionaires.
H₁: The distributions of blood types are NOT the same between the general population and the
millionaires.
You drew 569 samples, and the observed frequencies are recorded below. Please complete the table (round
answers to at least 4 decimal places).
Blood Type
0
A
B
AB
Observed
Frequency
257
229
60
23
Expected
Frequency
Transcribed Image Text:Your friend Lucía helped you with the null and alternative hypotheses... Ho: The distributions of blood types are the same between the general population and the millionaires. H₁: The distributions of blood types are NOT the same between the general population and the millionaires. You drew 569 samples, and the observed frequencies are recorded below. Please complete the table (round answers to at least 4 decimal places). Blood Type 0 A B AB Observed Frequency 257 229 60 23 Expected Frequency
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