13% 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 324 people from the inner city surveyed, 32 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.01? For this study, we should use Select an answer t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: Ho: ? p μ ? = < > ≠ (please enter a decimal) H1: ? μ p ? ≠ < > = (Please enter a decimal) The test statistic ? t z = (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 Select an answer accept fail to reject reject the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly smaller than 13% 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 13%. The data suggest the population proportion is not significantly smaller than 13% 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 13%. The data suggest the populaton proportion is significantly smaller than 13% 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 13% Interpret the p-value in the context of the study. If the population proportion of inner city residents who have sleep apnea is 13% and if another 324 inner city residents are surveyed then there would be a 4.73% chance fewer than 10% of the 324 residents surveyed have sleep apnea. If the sample proportion of inner city residents who have sleep apnea is 10% and if another 324 inner city residents are surveyed then there would be a 4.73% chance of concluding that fewer than 13% of inner city residents have sleep apnea. There is a 4.73% chance that fewer than 13% of all inner city residents have sleep apnea. There is a 13% chance of a Type I error Interpret the level of significance in the context of the study. If the population proportion of inner city residents who have sleep apnea is smaller than 13% and if another 324 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 13%. If the population proportion of inner city residents who have sleep apnea is 13% and if another 324 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 13%. There is a 1% chance that the proportion of all inner city residents who have sleep apnea is smaller than 13%. 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.
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.
13% 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 324 people from the inner city surveyed, 32 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.01?
- For this study, we should use Select an answer t-test for a population mean z-test for a population proportion
- The null and alternative hypotheses would be:
Ho: ? p μ ? = < > ≠ (please enter a decimal)
H1: ? μ p ? ≠ < > = (Please enter a decimal)
- The test statistic ? t z = (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 Select an answer accept fail to reject reject the null hypothesis.
- Thus, the final conclusion is that ...
- The data suggest the population proportion is not significantly smaller than 13% 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 13%.
- The data suggest the population proportion is not significantly smaller than 13% 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 13%.
- The data suggest the populaton proportion is significantly smaller than 13% 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 13%
- Interpret the p-value in the context of the study.
- If the population proportion of inner city residents who have sleep apnea is 13% and if another 324 inner city residents are surveyed then there would be a 4.73% chance fewer than 10% of the 324 residents surveyed have sleep apnea.
- If the sample proportion of inner city residents who have sleep apnea is 10% and if another 324 inner city residents are surveyed then there would be a 4.73% chance of concluding that fewer than 13% of inner city residents have sleep apnea.
- There is a 4.73% chance that fewer than 13% of all inner city residents have sleep apnea.
- There is a 13% chance of a Type I error
- Interpret the level of significance in the context of the study.
- If the population proportion of inner city residents who have sleep apnea is smaller than 13% and if another 324 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 13%.
- If the population proportion of inner city residents who have sleep apnea is 13% and if another 324 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 13%.
- There is a 1% chance that the proportion of all inner city residents who have sleep apnea is smaller than 13%.
- 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.
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