19. The recidivism rate for convicted sex offenders is 13%. A warden suspects that this percent is different if the sex offender is also a drug addict. Of the 394 convicted sex offenders who were also drug addicts, 59 of them became repeat offenders. What can be concluded at the αα = 0.10 level of significance?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 αBased on this, we should the null hypothesis.Thus, the final conclusion is that ...The data suggest the population proportion is not significantly different from 13% 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 different from 13%.The data suggest the population proportion is not significantly different from 13% 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 13%.The data suggest the populaton proportion is significantly different from 13% 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 different from 13%.Interpret the p-value in the context of the study.If the sample proportion of convicted sex offender drug addicts who become repeat offenders is 15% and if another 394 convicted sex offender drug addicts are observed then there would be a 24.38% chance that we would conclude either fewer than 13% of all convicted sex offender drug addicts become repeat offenders or more than 13% 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 13% and if another 394 convicted sex offender drug addicts are observed, then there would be a 24.38% chance that either more than 15% of the 394 convicted sex offender drug addicts in the study become repeat offenders or fewer than 11% of the 394 convicted sex offender drug addicts in the study become repeat offenders.There is a 24.38% chance of a Type I error.There is a 24.38% chance that the percent of all convicted sex offender drug addicts who become repeat offenders differs from 13%.Interpret the level of significance in the context of the study.There is a 10% chance that Lizard People aka "Reptilians" are running the world.There is a 10% chance that the proportion of all convicted sex offender drug addicts who become repeat offenders is different from 13%.If the population proportion of convicted sex offender drug addicts who become repeat offenders is 13% and if another 394 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 different from 13%.If the population proportion of convicted sex offender drug addicts who become repeat offenders is different from 13% and if another 394 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 13%.

Answered: Image /qna-images/answer/fca619f2-0b3e-4bda-8eff-c96de0920bae.jpg

Answered: 19. The recidivism rate for convicted…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

19. The recidivism rate for convicted sex offenders is 13%. A warden suspects that this percent is different if the sex offender is also a drug addict. Of the 394 convicted sex offenders who were also drug addicts, 59 of them became repeat offenders. What can be concluded at the αα = 0.10 level of significance?

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 α
Based on this, we should the null hypothesis.
Thus, the final conclusion is that ...
- The data suggest the population proportion is not significantly different from 13% 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 different from 13%.
- The data suggest the population proportion is not significantly different from 13% 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 13%.
- The data suggest the populaton proportion is significantly different from 13% 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 different from 13%.
Interpret the p-value in the context of the study.
- If the sample proportion of convicted sex offender drug addicts who become repeat offenders is 15% and if another 394 convicted sex offender drug addicts are observed then there would be a 24.38% chance that we would conclude either fewer than 13% of all convicted sex offender drug addicts become repeat offenders or more than 13% 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 13% and if another 394 convicted sex offender drug addicts are observed, then there would be a 24.38% chance that either more than 15% of the 394 convicted sex offender drug addicts in the study become repeat offenders or fewer than 11% of the 394 convicted sex offender drug addicts in the study become repeat offenders.
- There is a 24.38% chance of a Type I error.
- There is a 24.38% chance that the percent of all convicted sex offender drug addicts who become repeat offenders differs from 13%.
Interpret the level of significance in the context of the study.
- There is a 10% chance that Lizard People aka "Reptilians" are running the world.
- There is a 10% chance that the proportion of all convicted sex offender drug addicts who become repeat offenders is different from 13%.
- If the population proportion of convicted sex offender drug addicts who become repeat offenders is 13% and if another 394 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 different from 13%.
- If the population proportion of convicted sex offender drug addicts who become repeat offenders is different from 13% and if another 394 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 13%.

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 2 steps with 2 images

SEE SOLUTION Check out a sample Q&A here