In: Statistics and Probability
An Investment Bank compared the profiles of a sample of 25 firms that merged during 1985 to 2005 with those of a sample of 25 firms that did not merge. The table displays the information obtained on the firms' price earnings ratio.
Price-Earnings Ratio |
||
Merged Firms |
Non-Merged Firms |
|
Sample Mean |
7.3 |
14.7 |
Sample Standard Deviation |
11.0 |
16.0 |
a) At the 5% significance level, carry out a hypothesis test to investigate if the two population variances are equal. [2 marks]
b) At the 1% significance level, is there evidence to indicate that merged firms generally have smaller price-earnings ratios? [6 marks]
c) Is it appropriate to use a pooled variance t–test to test for equality of the mean price- earnings ratio for the two firms [merged and non-merged firms]? What additional assumption is necessary for you to use the t-test?
(a)
Let the population variance of the price-earning ratio for merged firms be and that for non-merged firms be
Here we are to test
The given data are summarized as
Statistic | Merged Firms | Non-Merged firms |
Sample size | n1=25 | n2=25 |
Sample mean | 7.3 | 14.7 |
Sample SD | s1=11 | s2=16 |
The test statistic is given by
The test statistic under the null hypothesis follows F distribution with df 24,24
The critical value is obtained from the Biometrika table as
As both the observed values are less than the critical value, we fail to reject the null hypothesis at 5% level of significance and thus we can conclude that their variances are equal.
(b)
Let the population mean of the price-earning ratio for merged firms be and that for non-merged firms be
Here we are to test
The given data are summarized as
Statistic | Merged Firms | Non-Merged firms |
Sample size | n1=25 | n2=25 |
Sample mean | 7.3 | 14.7 |
Sample SD | s1=11 | s2=16 |
The test statistic is given by
where s' is given by
The test statistic under the null hypothesis follows t distribution with df 48
The critical value is obtained from the Biometrika table as
we fail to reject the null hypothesis at 1% level of significance and thus we can conclude that the mean ratios are equal.
(c)
As the variances are qeual by the result of (a) , it is appropriate to use pooled t test.
The other assumptions made are as follows:
(i) The sample are drawn randomly i.e. they are independent.
(ii) They are drawn from samples following Normal distribution.
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