In the US, 43.4% of all people have type O blood, 39.8% have type A blood, 11.9% have type B blood and 4.9% 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 3280 millionaires. What can be concluded at the a = 0.05 significance level? a. Complete the table by filling in the expected frequencies. Round to the nearest whole number: Frequencies of Blood Type Outcome Frequency Expected Frequency 0 A B 1425 1297 383 AB 175 b. What is the correct statistical test to use? Goodness-of-Fit c. What are the null and alternative hypotheses? Ho: Blood type and income are independent. Blood type and income are dependent. The distribution of blood type for millionaires is not the same as it is for Americans in general. The distribution of blood type for millionaires is the same as it is for Americans in general.
In the US, 43.4% of all people have type O blood, 39.8% have type A blood, 11.9% have type B blood and 4.9% 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 3280 millionaires. What can be concluded at the a = 0.05 significance level? a. Complete the table by filling in the expected frequencies. Round to the nearest whole number: Frequencies of Blood Type Outcome Frequency Expected Frequency 0 A B 1425 1297 383 AB 175 b. What is the correct statistical test to use? Goodness-of-Fit c. What are the null and alternative hypotheses? Ho: Blood type and income are independent. Blood type and income are dependent. The distribution of blood type for millionaires is not the same as it is for Americans in general. The distribution of blood type for millionaires is the same as it is for Americans in general.
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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Step 1: Describe hypothesis
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VIEWStep 4: Determine hypothesis
VIEWStep 5: Compute degrees of freedom
VIEWStep 6: Compute test statistic
VIEWStep 7: Compute p-value
VIEWStep 8: Compare p-value with level of significance
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