Question

In: Statistics and Probability

Employers often use standardized measures to gauge how likely it is that a new employee with...

Employers often use standardized measures to gauge how likely it is that a new employee with little to no experience will succeed in their company. One such factor is intelligence, measured using the Intelligence Quotient (IQ). To show that this factor is related to job success, an organizational psychologist measures the IQ score and job performance (in units sold per day) in a sample of 10 new employees.

IQ Job Performance
100 16
115 35
108 32
98 19
120 47
147 54
132 48
85 52
105 23
110 36

(a) Convert the following data to ranks and then compute a Spearman correlation coefficient. (Round your answer to three decimal places.)
_____

(b) Using a two-tailed test at a 0.05 level of significance, state the decision to retain or reject the null hypothesis.

Retain the null hypothesis.

Reject the null hypothesis.    

Solutions

Expert Solution

(a)

We make a table

IQ Job Performance RankI RankJ d=RankI-RankJ d2
100 16 8 10 -2 4
115 35 4 6 -2 4
108 32 6 7 -1 1
98 19 9 9 0 0
120 47 3 4 -1 1
147 54 1 1 0 0
132 48 2 3 -1 1
85 52 10 2 8 64
105 23 7 8 -1 1
110 36 5 5 0 0
Total N/A N/A N/A 0 76

The number of observations (n)=10

Spearman's rank correlation coefficient is given by

(b)

Now we perform the correlation test.

The test statistic is given by

The test statistic follows t distribution with df 8

The p-value is obatined as 0.107907

As the p-value is more than 0.05, we fail to reject the null hypothesis i.e. the null hypothesis is retained at 5% level of significance.

Hopefully this will help you. In case of any query, do comment. If you are satisfied with the answer, give it a like. Thanks.


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