The recidivism rate for convicted sex offenders is 13%. A warden suspects that this percent is lower if the sex offender is also a drug addict. Of the 397 convicted sex offenders who were also drug addicts, 44 of them became repeat offenders. What can be concluded at the a = 0. 10 level of significance? a. For this study, we should use Select an answer > b. The null and alternative hypotheses would be: Ho: ? v Select an answer v (please enter a decimal) H1: ? Select an answer v ( Please enter a decimal) c. The test statistic ? = (please show your answer to 3 decimal places. ) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? v a f. Based on this, we should Select an answer v | the null hypothesis. g. Thus, the final conclusion is that . .. The data suggest the populaton proportion is significantly lower than 13% at a = 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 lower than 13%. The data suggest the population proportion is not significantly lower than 13% at a - 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 population proportion is not significantly lower than 13% at a = 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 lower than 13%. h. Interpret the p-value in the context of the study. There is a 13% chance of a Type | error. If the sample proportion of convicted sex offender drug addicts who become repeat offenders is 11% and if another 397 convicted sex offender drug add ALLI Lu Limits are surveyed then there would be a 12.8% chance of concluding that fewer than 13's of convicted sex offender drug addicts become repeat offenders