48% of their readers own a particular make of car. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage. A random sample of 300 found that 45% of the readers owned a particular make of car. Is there sufficient evidence at the 0.02 level to support the executive's claim?

There is no sufficient evidence to support the executive claim

Step-by-step explanation:

From the question we are told that

     The  population proportion is  

      The  sample proportion is  

       The sample  size is  

       The  level of significance is

The null hypothesis is  

The  alternative hypothesis is  

   Generally the test statistics is mathematically evaluated as

=>        

=>      

The  p-value is mathematically represented as

Form the z-table  

=>  

=>  

Given that    we fail to reject the null hypothesis

   Hence we can conclude that there is no sufficient evidence to support the executive claim

it would be:

c.parallelogram.