In the US, 44.1% of all people have type O blood, 40.4% have type A blood, 10.5% have type B blood and 5% 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 1075 millionaires. What can be concluded at the significant level of $\displaystyle \alpha$ = 0.1.

For this study, we should use Select an answer 2-PropZInt 2-PropZTest 1-PropZInt 1-PropZTest TInterval 2-SampTInt 2-SampTTest χ²GOF-Test χ²-Test ANOVA T-Test

Your friend Lester helped you with the null and alternative hypotheses...
$\displaystyle {H}_{{0}}:$ The distributions of blood types are the same between the general population and the millionaires.
$\displaystyle {H}_{{1}}:$ The distributions of blood types are NOT the same between the general population and the millionaires.

You drew 1075 samples, and the observed frequencies are recorded below. Please complete the table (round answers to at least 4 decimal places).

Blood Type	Observed Frequency	Expected Frequency
O	456
A	430
B	108
AB	81

The degree of freedom =

The test-statistic for this data = (Please show your answer to three decimal places.)

The p-value for this sample = (Please show your answer to four decimal places.)

The p-value is Select an answer less than (or equal to) alpha greater than alpha $\displaystyle \alpha$

Base on this, we should Select an answer accept the null fail to reject the null reject the null accept the alternative hypothesis

As such, the final conclusion is that...