In a Pew Research Center poll of 745 randomly selected adults, 589 said that it is morally wrong to not report all income on tax returns. Use a 0.01 significance level to test the claim that 75% of adults say that it is morally wrong to not report all income on tax returns. a. What is the null and alternative hypothesis?b. What is the test statistic?c. What is the P-value?d. What is the Conclusion?

a

   The  null hypothesis is  

  The  alternative  hypothesis is  

b

c

d

 There no sufficient evidence to conclude that 75% of adults say that it is morally wrong to not report all income on tax returns

Step-by-step explanation:

From the question we are told that

    The  sample  size is  

     The  number that said it is morally wrong is  

       The  level of significance is  

        The population proportion is

Generally the sample  proportion is mathematically represented as

=>    

=>    

 The  null hypothesis is  

  The  alternative  hypothesis is  

The  standard error is mathematically represented as

=>    

=>    

Generally the test statistics is mathematically represented as

=>  

=>    

Generally the p-value is  mathematically represented as

From the the z-table  

=>  

=>  

From the calculation  

    Hence we fail to reject the null hypothesis

Thus there no sufficient evidence to conclude that 75% of adults say that it is morally wrong to not report all income on tax returns

overpriced

step-by-step explanation:

66.666666667%

step-by-step explanation:

divide 150 by 100

divide 100 by 1.5

there you go!

decreased by 33.333333334%