The Los Angeles City Controller's office calculated that in 2013, the city employed 4703047030 full‑time employees and 1014210142 part‑time employees. Assume that an outside advocacy group had been lobbying the Mayor's office to convert part‑time workers into full‑time workers throughout 2014. The Controller's office makes its calculations annually. Suppose that the outside advocacy group wanted to know the proportion of city employees (excluding per‑event employees) who are full‑time employees ?p in June 2014 to gauge if their lobbying efforts had been effective. Suppose that the group surveyed a random sample of 1000 city employees (excluding per‑event employees) in June 2014 and found that 845845 were full‑time employees and 155155 were part‑time employees. If the advocacy group planned to use a one‑sample z-z-test for a proportion to test their lobbying eforts, the appropriate null hypothesis would be     and the appropriate alternative hypothesis would be    Assume that the Controller's office implemented a policy in January 2014 to increase the proportion of part‑time city employees in order to cut costs. Suppose that the office had access to the survey conducted by the advocacy group in June 2014 and wanted to use this survey to gauge the effect of this policy on ?,p, the proportion of full‑time employees, as of June 2014. If the Controller's office planned to use a one-sample z-z-test for a proportion to test the effect of their policy, the appropriate null hypothesis would be     and the appropriate alternative hypothesis would be    In 2014, the U.S. Centers for Disease Control and Prevention reported that 9.3%9.3% of Americans had diabetes in 2013. Assume that the Los Angeles Controller's office wanted to determine if the same proportion of the employees of the City of Los Angeles were diabetic. Suppose that they surveyed a random sample of 250250 employees in June 2014 and found that 2626 were diabetic. If the Controller's office planned to use a one-sample z-z-test for a proportion for their diabetes analysis, the appropriate null hypothesis would be     and the appropriate alternative hypothesis would be

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The Los Angeles City Controller's office calculated that in 2013, the city employed 4703047030 full‑time employees and 1014210142 part‑time employees. Assume that an outside advocacy group had been lobbying the Mayor's office to convert part‑time workers into full‑time workers throughout 2014.

The Controller's office makes its calculations annually. Suppose that the outside advocacy group wanted to know the proportion of city employees (excluding per‑event employees) who are full‑time employees ?p in June 2014 to gauge if their lobbying efforts had been effective. Suppose that the group surveyed a random sample of 1000 city employees (excluding per‑event employees) in June 2014 and found that 845845 were full‑time employees and 155155 were part‑time employees.

If the advocacy group planned to use a one‑sample z-z-test for a proportion to test their lobbying eforts, the appropriate null hypothesis would be 
 
 and the appropriate alternative hypothesis would be 
 
Assume that the Controller's office implemented a policy in January 2014 to increase the proportion of part‑time city employees in order to cut costs. Suppose that the office had access to the survey conducted by the advocacy group in June 2014 and wanted to use this survey to gauge the effect of this policy on ?,p, the proportion of full‑time employees, as of June 2014.
If the Controller's office planned to use a one-sample z-z-test for a proportion to test the effect of their policy, the appropriate null hypothesis would be 
 
 and the appropriate alternative hypothesis would be 
 
In 2014, the U.S. Centers for Disease Control and Prevention reported that 9.3%9.3% of Americans had diabetes in 2013. Assume that the Los Angeles Controller's office wanted to determine if the same proportion of the employees of the City of Los Angeles were diabetic. Suppose that they surveyed a random sample of 250250 employees in June 2014 and found that 2626 were diabetic.
If the Controller's office planned to use a one-sample z-z-test for a proportion for their diabetes analysis, the appropriate null hypothesis would be 
 
 and the appropriate alternative hypothesis would be 
 
The Los Angeles City Controller's office calculated that in 2013, the city employed 47030 full-time employees and 10142
part-time employees. Assume that an outside advocacy group had been lobbying the Mayor's office to convert part-time
workers into full-time workers throughout 2014.
The Controller's office makes its calculations annually. Suppose that the outside advocacy group wanted to know the
proportion of city employees (excluding per-event employees) who are full-time employees p in June 2014 to gauge if their
lobbying efforts had been effective. Suppose that the group surveyed a random sample of 1000 city employees (excluding
per-event employees) in June 2014 and found that 845 were full-time employees and 155 were part-time employees.
If the advocacy group planned to use a one-sample z-test for a proportion to test their lobbying eforts, the appropriate null
hypothesis would be
and the appropriate alternative hypothesis would be
Ho:p= 0.823
H1:p#0.823.
Assume that the Contr Ho:p= 0.845
ated a policy in January 2014 to increase the proportior H1:p< 0.845.
employees in order to cut costs. Suppose that the office had access to the survey conducted by the a
H:p#0.845.
2014 and wanted to use this survey to gauge the effect of this policy on p, the proportion of full-tim
June 2014.
H1:p> 0.823.
H:p> 0.845.
If the Controller's office planned to use a one-sample z-test for a proportion to test the effect of thei
te
H1:p < 0.823.
null hypothesis would be
and the appropriate alternative hypothesis would be
Transcribed Image Text:The Los Angeles City Controller's office calculated that in 2013, the city employed 47030 full-time employees and 10142 part-time employees. Assume that an outside advocacy group had been lobbying the Mayor's office to convert part-time workers into full-time workers throughout 2014. The Controller's office makes its calculations annually. Suppose that the outside advocacy group wanted to know the proportion of city employees (excluding per-event employees) who are full-time employees p in June 2014 to gauge if their lobbying efforts had been effective. Suppose that the group surveyed a random sample of 1000 city employees (excluding per-event employees) in June 2014 and found that 845 were full-time employees and 155 were part-time employees. If the advocacy group planned to use a one-sample z-test for a proportion to test their lobbying eforts, the appropriate null hypothesis would be and the appropriate alternative hypothesis would be Ho:p= 0.823 H1:p#0.823. Assume that the Contr Ho:p= 0.845 ated a policy in January 2014 to increase the proportior H1:p< 0.845. employees in order to cut costs. Suppose that the office had access to the survey conducted by the a H:p#0.845. 2014 and wanted to use this survey to gauge the effect of this policy on p, the proportion of full-tim June 2014. H1:p> 0.823. H:p> 0.845. If the Controller's office planned to use a one-sample z-test for a proportion to test the effect of thei te H1:p < 0.823. null hypothesis would be and the appropriate alternative hypothesis would be
null hypothesis would be
and the appropriate alternative hypothesis would be
Ho:p= 0.823
Họ:p=0.845
H:p#0.823.
H1:p> 0.823.
rs for Disease Control and Prevention reported that 9.3% of Americans had diabetes in 2013.
A
igeles Controller's office wanted to determine if the same proportion of the employees of the City of
H1:p# 0.845.
L
tic. Suppose that they surveyed a random sample of 250 employees in June 2014 and found that 26
H:p < 0.845.
H1:p < 0.823.
e planned to use a one-sample z-test for a proportion for their diabetes analysis, the appropriate null
H1:p> 0.845.
hypotnesis would be
and the appropriate alternative hypothesis would be
Ho:p= 0.104
H1:p# 0.093.
Ho:p = 0.093
H:p> 0.093.
Source: adapted from Los Angeles Open Data. https://controllerdata.lacity.org/Payroll/City-Employee-Payroll/pazn-qyym (accessed
H1:p < 0.104.
Source: adapted from Centers of Disease Control and Prevention. https://www.cdc.gov/diabetes/pdfs/library/diabetesreportcard2014.
H:p# 0.104.
H:p < 0.093.
H:p> 0.104.
Transcribed Image Text:null hypothesis would be and the appropriate alternative hypothesis would be Ho:p= 0.823 Họ:p=0.845 H:p#0.823. H1:p> 0.823. rs for Disease Control and Prevention reported that 9.3% of Americans had diabetes in 2013. A igeles Controller's office wanted to determine if the same proportion of the employees of the City of H1:p# 0.845. L tic. Suppose that they surveyed a random sample of 250 employees in June 2014 and found that 26 H:p < 0.845. H1:p < 0.823. e planned to use a one-sample z-test for a proportion for their diabetes analysis, the appropriate null H1:p> 0.845. hypotnesis would be and the appropriate alternative hypothesis would be Ho:p= 0.104 H1:p# 0.093. Ho:p = 0.093 H:p> 0.093. Source: adapted from Los Angeles Open Data. https://controllerdata.lacity.org/Payroll/City-Employee-Payroll/pazn-qyym (accessed H1:p < 0.104. Source: adapted from Centers of Disease Control and Prevention. https://www.cdc.gov/diabetes/pdfs/library/diabetesreportcard2014. H:p# 0.104. H:p < 0.093. H:p> 0.104.
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