Answer:
Null hypothesis: 
    
Alternative hypothesis: 
   
 
    
 
    
Comparing the p value with the significance level assumed  we see that
 we see that  so we can conclude that we have enough evidence to to reject the null hypothesis, and we can say that the proportion analyzed is significantly different between the two groups at 5% of significance.
 so we can conclude that we have enough evidence to to reject the null hypothesis, and we can say that the proportion analyzed is significantly different between the two groups at 5% of significance.    
Step-by-step explanation:
Data given and notation    
 represent the number of people indicating that their financial security was more than fair for the recent year
 represent the number of people indicating that their financial security was more than fair for the recent year
 represent the number of people indicating that their financial security was more than fair for the year before
 represent the number of people indicating that their financial security was more than fair for the year before
 sample 1 selected
 sample 1 selected  
 sample 2 selected
 sample 2 selected  
 represent the proportion estimated of indicating that their financial security was more than fair this year
 represent the proportion estimated of indicating that their financial security was more than fair this year
 represent the proportion estimated of indicating that their financial security was more than fair the year before
 represent the proportion estimated of indicating that their financial security was more than fair the year before
 represent the pooled estimate of p
 represent the pooled estimate of p
z would represent the statistic (variable of interest)    
 represent the value for the test (variable of interest)
 represent the value for the test (variable of interest)  
 significance level given
 significance level given  
Concepts and formulas to use    
We need to conduct a hypothesis in order to check if is there is a difference between the two proportions, 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)
   (1)  
Where  
  
z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.    
Calculate the statistic  
Replacing in formula (1) the values obtained we got this:    
 
    
Statistical decision  
Since is a two sided test the p value would be:    
 
    
Comparing the p value with the significance level assumed  we see that
 we see that  so we can conclude that we have enough evidence to to reject the null hypothesis, and we can say that the proportion analyzed is significantly different between the two groups at 5% of significance.
 so we can conclude that we have enough evidence to to reject the null hypothesis, and we can say that the proportion analyzed is significantly different between the two groups at 5% of significance.