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Please answer manually and circle the answers. The Chartered Financial Analyst (

ID: 3160054 • Letter: P

Question

Please answer manually and circle the answers.

The Chartered Financial Analyst (CFA®) designation is fast becoming a requirement for serious investment professionals. It is an attractive alternative to getting an MBA for students wanting a career in investment. A student of finance is curious to know if a CFA designation is a more lucrative option than an MBA. He collects data on 37 recent CFAs with a mean salary of $144,000 and a standard deviation of $44,000. A sample of 54 MBAs results in a mean salary of $135,000 with a standard deviation of $21,000. Use Table 2. is the population mean for individuals with a CFA designation and 2 is the population mean of individuals with MBAs.) Let CFAs and MBAs represent population 1 and population 2, respectively. a-1. Set up the hypotheses to test if a CFA designation is more lucrative than an MBA at the 10% significance level. Do not assume that the population variances are equal. a-2. Calculate the value of the test statistic. (Round intermediate calculations to 4 decimal places and final answer to 2 decimal places.) Test statistic

Explanation / Answer

a-1.

Formulating the null and alternative hypotheses,              
              
Ho:   u1 - u2   <=   0  
Ha:   u1 - u2   >   0   [ANSWER, C]

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a-2.

At level of significance =    0.1          
As we can see, this is a    right   tailed test.      
Calculating the means of each group,              
              
X1 =    144000          
X2 =    135000          
              
Calculating the standard deviations of each group,              
              
s1 =    44000          
s2 =    21000          
              
Thus, the standard error of their difference is, by using sD = sqrt(s1^2/n1 + s2^2/n2):              
              
n1 = sample size of group 1 =    37          
n2 = sample size of group 2 =    54          
Thus, df = n1 + n2 - 2 =    89          
Also, sD =    7777.59545          
              
Thus, the t statistic will be              
              
t = [X1 - X2 - uD]/sD =    1.157169984   [ANSWER, TEST STATISTIC]

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a-3.
      
              
Using tables,

Pvalue > 0.100 [ANSWER, D]

[By technology, the Pvalue is 0.125149616].

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a-4.

As P > 0.05, we do not reject Ho.

Hence, OPTION D. [ANSWER]

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b.

As from the table,

tcrit = 1.300

and t = 1.157 < 1.300, then we fail to reject Ho.

OPTION C. [ANSWER]

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Hi! If you use another method/formula in calculating the degrees of freedom in this t-test, please resubmit this question together with the formula/method you use in determining the degrees of freedom. That way we can continue helping you! Thanks!