9% of all Americans suffer from sleep apnea. A researcher suspects that a lower percentage of those who live in the inner city have sleep apnea. Of the 372 people from the inner city surveyed, 26 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.01? Round numerical answers to 3 decimal places
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
9% of all Americans suffer from sleep apnea. A researcher suspects that a lower percentage of those who live in the inner city have sleep apnea. Of the 372 people from the inner city surveyed, 26 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.01? Round numerical answers to 3 decimal places
- For this study, we should use
- The null and alternative hypotheses would be:
Ho: (please enter a decimal)
H1: (Please enter a decimal)
- The test statistic = (please show your answer to 3 decimal places.)
- The p-value = (Please show your answer to 4 decimal places.)
- The p-value is αα
- Based on this, we should the null hypothesis.
- Thus, the final conclusion is that ...
- The data suggest the population proportion is not significantly smaller than 9% at αα = 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 population proportion is not significantly smaller than 9% at αα = 0.01, so there is not sufficient evidence to conclude that the population proportion of inner city residents who have sleep apnea is smaller than 9%.
- The data suggest the populaton proportion is significantly smaller than 9% at αα = 0.01, so there is sufficient evidence to conclude that the population proportion of inner city residents who have sleep apnea is smaller than 9%
- Interpret the p-value in the context of the study.
- There is a 9% chance of a Type I error
- There is a 8.77% chance that fewer than 9% of all inner city residents have sleep apnea.
- If the sample proportion of inner city residents who have sleep apnea is 7% and if another 372 inner city residents are surveyed then there would be a 8.77% chance of concluding that fewer than 9% of inner city residents have sleep apnea.
- If the population proportion of inner city residents who have sleep apnea is 9% and if another 372 inner city residents are surveyed then there would be a 8.77% chance fewer than 7% of the 372 residents surveyed have sleep apnea.
- Interpret the level of significance in the context of the study.
- There is a 1% chance that the proportion of all inner city residents who have sleep apnea is smaller than 9%.
- If the population proportion of inner city residents who have sleep apnea is 9% and if another 372 inner city residents are surveyed then there would be a 1% chance that we would end up falsely concluding that the proportion of all inner city residents who have sleep apnea is smaller than 9%.
- 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.
- If the population proportion of inner city residents who have sleep apnea is smaller than 9% and if another 372 inner city residents are surveyed then there would be a 1% chance that we would end up falsely concluding that the proportion of all inner city residents who have sleep apnea is equal to 9%.
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