An analysis of several polls suggests that 60% of all Florida voters plan to vote for Anderson. A poll of 250 randomly selected Florida voters shows that 144 plan to vote for Anderson.

Required:
a. What is the probability of this result (i.e. 144 voters or less out of 250) happening by chance, assuming the aggregate poll model proportion of 60% is correct?
b. Does your result from part I indicate that the number of voters who plan to vote for Anderson has decreased? In other words, is this outcome unusual?

Respuesta :

Complete Question

An analysis of several polls suggests that 60% of all Florida voters plan to vote for Anderson. A poll of 250 randomly selected Florida voters shows that 144 plan to vote for Anderson.

Required:

a. What is the probability of this result (i.e. 144 voters or less out of 250) happening by chance, assuming the aggregate poll model proportion of 60% is correct?

b. Does your result from part I indicate that the number of voters who plan to vote for Anderson has decreased? In other words, is this outcome unusual?(Recall that an unusual  event has a probability of 0.05 or less of occurring )

Answer:

a

[tex]P(p  <  \^p) =   0.2206[/tex]

b

It is not an unusual event

Step-by-step explanation:

From the question we are told that

    The population proportion is  p =  0.60

   The sample size is  n =  250

    The number that plans to vote for Anderson is  k =  144

Generally the mean of the sampling distribution is  

        [tex]\mu _{x} =  p =  0.60[/tex]

Generally the standard deviation is  

      [tex]\sigma  =  \sqrt{ \frac{p(1 - p )}{n} }[/tex]

=>    [tex]\sigma  =  \sqrt{ \frac{0.60(1 - 0.60 )}{250} }[/tex]

=>    [tex]\sigma  =   0.0310[/tex]

Generally the sample proportion is mathematically represented as  

         [tex]\^{p} =  \frac{k}{n}[/tex]

=>       [tex]\^{p} =  \frac{144}{250}[/tex]

=>     [tex]\^{p} = 0.576 [/tex]

Gnerally the probability of this result (i.e. 144 voters or less out of 250) happening by chance, assuming the aggregate poll model proportion of 60% is correct is mathematically represented as

  [tex]P(p  <  \^p) =  P(\frac{ p - \mu_{x}}{ \sigma }  <  \frac{ \^ p - \mu_{x}}{ \sigma } )[/tex]

=>     [tex]P(p  <  \^p) =  P(Z <  \frac{ 0.576 - 0,60}{ 0.0310} )[/tex]

=>      [tex]P(p  <  \^p) =  P(Z <  -0.77 )[/tex]

From the z-table  the probability of (Z <  -0.77)  is  

     [tex]P(Z <  -0.77 )  =  0.2206[/tex]

So

    [tex]P(p  <  \^p) =   0.2206[/tex]

Since

  [tex]0.2206 > 0.05[/tex] it implies that it is not an unusual  event