Answer:
Null hypothesis:
  
Alternative hypothesis:
  
   
  
So the p value is a very low value and using any significance level for example 
 always 
 so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say the two proportions NOT differs significantly.  
Step-by-step explanation:
Data given and notation  
 represent the number of homeowners who would buy the security system
 represent the number of renters who would buy the security system
 sample 1
 sample 2
 represent the proportion of homeowners who would buy the security system
 represent the proportion of renters who would buy the security system
z would represent the statistic (variable of interest)  
 represent the value for the test (variable of interest)  
Concepts and formulas to use  
We need to conduct a hypothesis in order to check if the two proportions differs , the system of hypothesis would be:  
Null hypothesis:
  
Alternative hypothesis:
  
We need to apply a z test to compare proportions, and the statistic is given by:  
   (1)  
Where 
  
Calculate the statistic  
Replacing in formula (1) the values obtained we got this:  
   
Statistical decision
For this case we don't have a significance level provided 
, but we can calculate the p value for this test.    
Since is a two sided test the p value would be:  
  
So the p value is a very low value and using any significance level for example 
 always 
 so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say the two proportions NOT differs significantly.