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1. In the US, 45% of all people have type O blood, 40.8% have type A blood, 10.4% have type B blood and 3.8% have

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In the US, 45% of all people have type O blood, 40.8% have type A blood, 10.4% 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 2864 millionaires. What can be concluded at the o - 0.05 significance level? a. Complete the table by filling in the expected frequencies. If needed, round to two decimal places: Frequencies of Blood Type Outcome | Frequency| Expected Frequency 1300 1149 B 284 AB 131 b. What is the correct statistical test to use? Select an answer c. What are the null and alternative hypotheses? Ho: Select an answer H1 : Select an answer d. The degrees of freedom = e. The test-statistic for this data = (Round answer to 2 decimal places.) f. The p-value for this sample = Round answer to 4 decimal places.) g. The p-value is ? ~| h. Based on this, we should |Select an answer i. The final conclusion is there is insufficient evidence to conclude that the distribution of blood type for millionaires is not the same as it is for Americans in general. there is insufficient evidence to conclude that blood type and income are dependent. there is sufficient evidence to conclude that blood type and income are dependent. there is sufficient evidence to conclude that the distribution of blood type for millionaires is not the same as it is for Americans in general. there is sufficient evidence to conclude that the distribution of blood type for millionaires is the same as it is for Americans in general.9% of all Americans suffer from sleep apnea. A researcher suspects that a different percentage of those who live in the inner city have sleep apnea. Of the 383 people from the inner city surveyed, 46 of them suffered from sleep apnea. What can be concluded at the level of significance of a = 0.01? a. For this study, we should use z-test for a population proportion v b. The null and alternative hypotheses would be: Ho: 7\\ Select an answer (please enter a decimal) Hy: ? |Select an answer MV Please enter a decimal) C. The test statistic ? ] = (Round answer to 2 decimal places.) d. The p-value = (Round answer to 4 decimal places.) e. The p-value is ? a f. Based on this, we should Select an answer V ] the null hypothesis. g. Thus, the final conclusion is The data suggest the population proportion is not significantly different from 9% at a = 0.01, so there is not sufficient evidence to conclude that the population proportion of inner city residents who have sleep apnea is different from 9%. The data suggest the population proportion is not significantly different from 9% at a = 0.01, so there is sufficient evidence to conclude that the population proportion of inner city residents who have sleep apnea is equal to 9%. The data suggest the populaton proportion is significantly different from 9% at a = 0.01, so there is sufficient evidence to conclude that the population proportion of inner city residents who have sleep apnea is different from 9% h. Interpret the p-value in the context of the study. If the population proportion of inner city residents who have sleep apnea is 9% and if another 383 inner city residents are surveyed then there would be a 3.96% chance that either more than 12% of the 383 inner city residents have sleep apnea or fewer than 6% of the 383 inner city residents have sleep apnea. There is a 3.96% chance of a Type | error. If the sample proportion of inner city residents who have sleep apnea is 12% and if another 383 inner city residents are surveyed then there would be a 3.96% chance that we would conclude either fewer than 9% of all inner city residents have sleep apnea or more than 9% of all inner city residents have sleep apnea. There is a 3.96% chance that the percent of all inner city residents who have sleep apnea differs from 9%. i. Interpret the level of significance in the context of the study. If the population proportion of inner city residents who have sleep apnea is different from 9% and if another 383 inner city residents are surveyed then there would be a 1% chance that we would end up falsely concuding that the proportion of all inner city residents who have sleep apnea is equal to 9%. If the population proportion of inner city residents who have sleep apnea is 9 and if another 383 inner city residents are surveyed then there would be a 1% chance that we would end up falsely concuding that the proportion of all inner city residents who have sleep apnea is different from 9%. different from 9%. There is a 1%% chance that the proportion of all inner city residents who have sleep apnea is There is a 1% chance that aliens have secretly taken over the earth and have cleverly disguised themselves as the presidents of each of the countries on earth. Check Answer Type here to search O ViewSonic

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