Question

In: Statistics and Probability

Jeanette and Evelyn, of Noh Mommies! Medical Group found that the mean annual earnings of pharmacists...

Jeanette and Evelyn, of Noh Mommies! Medical Group found that the mean annual earnings of pharmacists in the US are $230,000 and those of pediatricians to be $225,000. Suppose that these results are based on a random sample of 300pharmacistsand 400 pediatricians and that the population standard deviations are $28,000 and $32,000, respectively.

a. What is the standard error? (3pts.)

b.Test the claim, using a 1% level of significance, that the mean annual earnings of pharmacists is greater than that of pediatricians.(6pts.)

c.Construct a 98% confidence interval for the difference between the meanannual earnings of pharmacists and pediatricians.(4pts.)

Solutions

Expert Solution

a)

sample #1   ------->              
mean of sample 1,    x̅1=   230000          
population std dev of sample 1,   σ1 =    28000          
size of sample 1,    n1=   300          
                  
sample #2   --------->              
mean of sample 2,    x̅2=   225000          
population std dev of sample 2,   σ2 =    32000          
size of sample 2,    n2=   400          
                  
difference in sample means = x̅1 - x̅2 =    230000   -   225000   =   5000
                  
std error , SE =    √(σ1²/n1+σ2²/n2) =    2274.4963          

..............

b)

Ho :   µ1 - µ2 =   0
Ha :   µ1-µ2 > 0
      
Level of Significance ,    α =    0.01

Z-statistic = ((x̅1 - x̅2)-µd)/SE =    5000   /   2274.4963   =   2.1983
                        
                  
p-value =        0.0140   [excel function =NORMSDIST(z)]      
Desison:   p-value>α , Do not reject null hypothesis              

...............

c)

Level of Significance ,    α =    0.02          
z-critical value =    Z α/2 =    2.3263   [excel function =normsinv(α/2) ]      
                  
std error , SE =    √(σ1²/n1+σ2²/n2) =    2274.4963          
margin of error, E = Z*SE =    2.3263   *   2274.496   =   5291.2696
                  
difference of means = x̅1 - x̅2 =    230000   -   225000   =   5000.000
confidence interval is                   
Interval Lower Limit= (x̅1 - x̅2) - E =    5000.000   -   5291.270   =   -291.2696
Interval Upper Limit= (x̅1 - x̅2) + E =    5000.000   +   5291.270   =   10291.2696

.................

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