Grades assigned by an economics lecturer for his postgraduate coursework students at a SLIIT have historically followed a symmetrical distribution: 5% HDs, 25% Ds, 40% Cs, 25% Ps and 5% Fs. This year, a sample of grades revealed 11 HDs, 32 Ds, 62 Cs, 29 Ps and 16 Fs. Can you conclude, at the 1% level of significance, that this year’s marks are distributed differently from marks in the past?
Let "H_o" : This year’s marks are distributed differently from marks in the past.
The dstribution is as follows-
Expected frequency represented by "E_i"
So The value of "\\chi^2=\\sum \\dfrac{(O_i-E_i)^2}{E_i}=15.12"
The tabulated value of "\\chi^2" at 1% level of significance is 13.28
Conclusion: As the calculated value of "\\chi^2" is greater than tabulated value So "H_o" is rejected
means This year’s marks are distributed differently from marks in the past.
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