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zzz [600]
3 years ago
11

In a poll of 745 randomly selected adults, 591 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.
Mathematics
1 answer:
Marianna [84]3 years ago
4 0

Answer:

The calculated value Z = 2.734 > 2.576 at 0.01 level of significance

Null hypothesis is rejected

The claim that 75% of adults say that it is morally wrong to report all income on tax returns.

Step-by-step explanation:

<u><em>Step(i):-</em></u>

Given random sample size 'n' = 745

Given In a poll of 745 randomly selected adults, 591 said that it is morally wrong to not report all income on tax returns

sample proportion

   p^{-}  = \frac{x}{n} = \frac{591}{745} = 0.7932

Given Population proportion P = 0.75

                                           Q = 1-P

                                          Q = 1 - 0.75 = 0.25

Null Hypothesis :H₀: P=0.75

Alternative Hypothesis :H₁:P≠ 0.75

<u><em>Step(ii):-</em></u>

<em>Test statistic</em>

                          Z = \frac{p^{-}-P }{\sqrt{\frac{P Q}{n} } }

                          Z = \frac{0.7932-0.75 }{\sqrt{\frac{0.75 X 0.25}{745} } }

                          Z  = 2.734

Level of significance ∝ = 0.01

The critical value Z =2.576

The calculated value Z = 2.734 > 2.576 at 0.01 level of significance

Null hypothesis is rejected

The claim that 75% of adults say that it is morally wrong to report all income on tax returns.

                       

                         

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