Question

In the US, 46.9% of all people have type O blood, 39.1% have type A blood,...

In the US, 46.9% of all people have type O blood, 39.1% have type A blood, 10.3% have type B blood and 3.7% 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 2996 millionaires. What can be concluded at the
α
= 0.01 significance level?

Complete the table by filling in the expected frequencies. Round to the nearest whole number:
Frequencies of Blood Type
Outcome   Frequency   Expected Frequency
O   1408  

A   1178  

B   306  

AB   104  
What is the correct statistical test to use?

Select an answer

What are the null and alternative hypotheses?
H
0
:

Blood type and income are dependent.
The distribution of blood type for millionaires is the same as it is for Americans in general.
The distribution of blood type for millionaires is not the same as it is for Americans in general.
Blood type and income are independent.


H
a
:

The distribution of blood type for millionaires is the same as it is for Americans in general.
Blood type and income are dependent.
The distribution of blood type for millionaires is not the same as it is for Americans in general.
Blood type and income are independent.
The degrees of freedom =
The test-statistic for this data =
(Please show your answer to two decimal places.)


Based on this, we should
fail to reject the null
reject the null
accept the null

Thus, the final conclusion is...
Select an answer

Homework Answers

Answer #1

Expected Frequencies:

What is the correct statistical test to use?

Chi square test for goodness of fit

H0 : The distribution of blood type for millionaires is the same as it is for Americans in general.

Ha : The distribution of blood type for millionaires is not the same as it is for Americans in general.

The degrees of freedom = 3
The test-statistic for this data = 0.49

fail to reject the null


There is not sufficient evidence to conclude that the distribution of blood type for millionaires is not the same as it is for Americans in general.

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