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Solution to question 4.4

The first step in calculating the 95% confidence interval is calculate the standard error. We use the formula:

s.e. = std. dev. divided by sq. root of sample size

Applying the formula in turn to the three sets of figures gives us the standard errors in the table below.

Ketac-Fil
Material Number of specimens Square root of number of specimens Standard deviation of fluoride release Standard error
5 2·24 4·85 2·17
Chem-Fil Superior 5 2·24 2·55 1·14
Compoglass 5 2·24 1·02 0·46

(I have reported my intermediate results above to two decimal places of accuracy. In fact, I did not round these up whilst I was doing my calculations, I kept them as accurately as my calculator allowed and only rounded up at the final stage.)

Now, the 95% confidence interval is the interval:

From 'sample mean - 1·96 standard errors' to 'sample mean + 1·96 standard errors'

So we calculate 1·96 standard errors for each group of patients and subtract and add this to their respective means.

Material Mean fluoride release (mg mm-2) 1·96 standard errors Mean - 1·96 standard errors Mean + 1·96 standard errors
Ketac-Fil 30·62 5·27 25·35 35·89
Chem-Fil Superior 12·69 2·23 10·45 14·92
Compoglass 10·35 0·89 9·46 11·24

So we would report our results as follows:

Note that I have put the units after the mean. This is compulsory; without units, numbers are clinically meaningless.

The 95% confidence intervals for Chem-Fil Superior and Compoglass overlap by a considerable amount. For example, a fluoride leakage of 11mg mm-2 is a plausible value for the means of both materials. We are unable to tell if there is a real difference between the two materials. By contrast none of the range values in the confidence interval for Ketac-Fil would be a plausible value for the mean leakage of either of the other two materials. We might conclude that there is a real difference between Ketac-Fil and the other two materials

This method of looking at the confidence intevals of the means of different samples is a good first step to seeing if a real difference is likely to exist between them. There is a more formal and correct approach: statistically testing for a difference and calculating a confidence interval for the difference. We shall be learning how to do this in a later unit.

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