Answer:
The probability is [tex]P( \^ p < 0.35)= 0.2388 [/tex]
Step-by-step explanation:
From the question we are told that
The population proportion is p = 0.40
The sample size is n = 50
Generally the standard error is mathematically represented as
[tex]\sigma_{\= p} = \sqrt{\frac{p * (1- p)}{n} }[/tex]
=> [tex]\sigma_{\= p} = \sqrt{\frac{0.40 * (1- 0.40)}{50} }[/tex]
=> [tex]\sigma_{\= p} = 0.07[/tex]
Generally the probability that a random sample of 50 U.S. Adults has less than 35% with this opinion is mathematically represented as
[tex]P( \^ p < 0.35) = P(\frac{\^ p - p}{\sigma_{\= p}} < \frac{0.35 - 0.40}{0.07} )[/tex]
Generally [tex]\frac{\^ p - p}{\sigma_{\= p}} = Z (The \ standardized \ value\ of \ \^ p )[/tex]
=> [tex]P( \^ p < 0.35)=P(Z < -0.71)[/tex]
From the z table
[tex]P(Z < -0.71) = 0.2388[/tex]
So
[tex]P( \^ p < 0.35)= 0.2388 [/tex]