The recidivism rate for convicted sex offenders is 9%. A warden suspects that this percent is higher if the sex offender is also a drug addict. Of the 395 convicted sex offenders who were also drug addicts, 40 of them became repeat offenders. What can be concluded at the αα = 0.10 level of significance? For this study, we should use: Select an answer? z-test for a population proportion or t-test for a population mean ? The null and alternative hypotheses would be: Ho: μ or p? Select an answer: < > = ≤ ≥ ≠? ______ (please enter a decimal) H1: p or μ? Select an answer: > < ≥ = ≤ ≠? _____ (Please enter a decimal) The test statistic: t or z? =_______ (please show your answer to 3 decimal places.) The p-value =_________? (Please show your answer to 4 decimal places.) The p-value is ? ≤ or >? Based on this, we should? Select an answer: reject? fail to reject? or accept? the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly higher than 9% at αα = 0.10, so there is statistically significant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is equal to 9%. The data suggest the populaton proportion is significantly higher than 9% at αα = 0.10, so there is statistically significant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9%. The data suggest the population proportion is not significantly higher than 9% at αα = 0.10, so there is statistically insignificant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9%. Interpret the p-value in the context of the study. There is a 21.7% chance of a Type I error. If the sample proportion of convicted sex offender drug addicts who become repeat offenders is 10% and if another 395 convicted sex offender drug addicts are observed then there would be a 21.7% chance of concluding that more than 9% of all convicted sex offender drug addicts become repeat offenders. If the population proportion of convicted sex offender drug addicts who become repeat offenders is 9% and if another 395 convicted sex offender drug addicts are surveyed then there would be a 21.7% chance that more than 10% of the 395 convicted sex offender drug addicts in the study will become repeat offenders. There is a 21.7% chance that more than 9% of all convicted sex offender drug addicts become repeat offenders. Interpret the level of significance in the context of the study. There is a 10% chance that the proportion of all convicted sex offender drug addicts who become repeat offenders is higher than 9%. There is a 10% chance that Lizard People aka "Reptilians" are running the world. If the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9% and if another 395 convicted sex offender drug addicts are observed then there would be a 10% chance that we would end up falsely concluding that the proportion of all convicted sex offender drug addicts who become repeat offenders is equal to 9%. If the population proportion of convicted sex offender drug addicts who become repeat offenders is 9% and if another 395 convicted sex offender drug addicts are observed, then there would be a 10% chance that we would end up falsely concluding that the proportion of all convicted sex offender drug addicts who become repeat offenders is higher than 9%.
The recidivism rate for convicted sex offenders is 9%. A warden suspects that this percent is higher if the sex offender is also a drug addict. Of the 395 convicted sex offenders who were also drug addicts, 40 of them became repeat offenders. What can be concluded at the αα = 0.10 level of significance? For this study, we should use: Select an answer? z-test for a population proportion or t-test for a population mean ? The null and alternative hypotheses would be: Ho: μ or p? Select an answer: < > = ≤ ≥ ≠? ______ (please enter a decimal) H1: p or μ? Select an answer: > < ≥ = ≤ ≠? _____ (Please enter a decimal) The test statistic: t or z? =_______ (please show your answer to 3 decimal places.) The p-value =_________? (Please show your answer to 4 decimal places.) The p-value is ? ≤ or >? Based on this, we should? Select an answer: reject? fail to reject? or accept? the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly higher than 9% at αα = 0.10, so there is statistically significant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is equal to 9%. The data suggest the populaton proportion is significantly higher than 9% at αα = 0.10, so there is statistically significant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9%. The data suggest the population proportion is not significantly higher than 9% at αα = 0.10, so there is statistically insignificant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9%. Interpret the p-value in the context of the study. There is a 21.7% chance of a Type I error. If the sample proportion of convicted sex offender drug addicts who become repeat offenders is 10% and if another 395 convicted sex offender drug addicts are observed then there would be a 21.7% chance of concluding that more than 9% of all convicted sex offender drug addicts become repeat offenders. If the population proportion of convicted sex offender drug addicts who become repeat offenders is 9% and if another 395 convicted sex offender drug addicts are surveyed then there would be a 21.7% chance that more than 10% of the 395 convicted sex offender drug addicts in the study will become repeat offenders. There is a 21.7% chance that more than 9% of all convicted sex offender drug addicts become repeat offenders. Interpret the level of significance in the context of the study. There is a 10% chance that the proportion of all convicted sex offender drug addicts who become repeat offenders is higher than 9%. There is a 10% chance that Lizard People aka "Reptilians" are running the world. If the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9% and if another 395 convicted sex offender drug addicts are observed then there would be a 10% chance that we would end up falsely concluding that the proportion of all convicted sex offender drug addicts who become repeat offenders is equal to 9%. If the population proportion of convicted sex offender drug addicts who become repeat offenders is 9% and if another 395 convicted sex offender drug addicts are observed, then there would be a 10% chance that we would end up falsely concluding that the proportion of all convicted sex offender drug addicts who become repeat offenders is higher than 9%.
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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The recidivism rate for convicted sex offenders is 9%. A warden suspects that this percent is higher if the sex offender is also a drug addict. Of the 395 convicted sex offenders who were also drug addicts, 40 of them became repeat offenders. What can be concluded at the αα = 0.10 level of significance?
- For this study, we should use: Select an answer? z-test for a population proportion or t-test for a population mean ?
- The null and alternative hypotheses would be:
Ho: μ or p? Select an answer: < > = ≤ ≥ ≠? ______ (please enter a decimal)
H1: p or μ? Select an answer: > < ≥ = ≤ ≠? _____ (Please enter a decimal)
- The test statistic: t or z? =_______ (please show your answer to 3 decimal places.)
- The p-value =_________? (Please show your answer to 4 decimal places.)
- The p-value is ? ≤ or >?
- Based on this, we should? Select an answer: reject? fail to reject? or accept? the null hypothesis.
- Thus, the final conclusion is that ...
- The data suggest the population proportion is not significantly higher than 9% at αα = 0.10, so there is statistically significant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is equal to 9%.
- The data suggest the populaton proportion is significantly higher than 9% at αα = 0.10, so there is statistically significant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9%.
- The data suggest the population proportion is not significantly higher than 9% at αα = 0.10, so there is statistically insignificant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9%.
- Interpret the p-value in the context of the study.
- There is a 21.7% chance of a Type I error.
- If the sample proportion of convicted sex offender drug addicts who become repeat offenders is 10% and if another 395 convicted sex offender drug addicts are observed then there would be a 21.7% chance of concluding that more than 9% of all convicted sex offender drug addicts become repeat offenders.
- If the population proportion of convicted sex offender drug addicts who become repeat offenders is 9% and if another 395 convicted sex offender drug addicts are surveyed then there would be a 21.7% chance that more than 10% of the 395 convicted sex offender drug addicts in the study will become repeat offenders.
- There is a 21.7% chance that more than 9% of all convicted sex offender drug addicts become repeat offenders.
- Interpret the level of significance in the context of the study.
- There is a 10% chance that the proportion of all convicted sex offender drug addicts who become repeat offenders is higher than 9%.
- There is a 10% chance that Lizard People aka "Reptilians" are running the world.
- If the population proportion of convicted sex offender drug addicts who become repeat offenders is higher than 9% and if another 395 convicted sex offender drug addicts are observed then there would be a 10% chance that we would end up falsely concluding that the proportion of all convicted sex offender drug addicts who become repeat offenders is equal to 9%.
- If the population proportion of convicted sex offender drug addicts who become repeat offenders is 9% and if another 395 convicted sex offender drug addicts are observed, then there would be a 10% chance that we would end up falsely concluding that the proportion of all convicted sex offender drug addicts who become repeat offenders is higher than 9%.
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