Question

Provide three examples of studies when we can use (a) the pooled, (b) non-pooled, and (3) paired inference to compare means of two populations.

Comparing two groups
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asked 2020-12-25
Provide three examples of studies when we can use (a) the pooled, (b) non-pooled, and (3) paired inference to compare means of two populations.

Answers (1)

2020-12-26

In a problem of comparing means of two populations we may come across the following conditions depending on the property of data.
(a)Pooled variance: when the data selected for comparing two population variance.
Then we used polled variance to draw interefences and compare the means.
It \(s_{1}^{2}\) and \(s_{2}^{2}\) are the sample variances of two population with equal population variances, then "pooled variance" is given by
\(\displaystyle{{s}_{{{p}}}^{{{2}}}}\ =\ {\frac{{{\left({n}_{{{1}}}\ -\ {1}\right)}\ {{s}_{{{1}}}^{{{2}}}}\ +\ {\left({n}_{{{2}}}\ -\ {1}\right)}\ {{s}_{{{2}}}^{{{2}}}}}}{{{n}_{{{1}}}\ +\ {n}_{{{2}}}\ -\ {2}}}}\)
In this case, the test statistic for comparing means is given by
\(\displaystyle{A}\ =\ {\frac{{\overline{{{x}_{{{1}}}}}-\overline{{{x}_{{{2}}}}}}}{{{s}_{{{p}}}\sqrt{{{\frac{{{1}}}{{{n}_{{1}}}}}+{\frac{{{1}}}{{{n}_{{2}}}}}}}}}}\ \text{with}\ {\left({n}_{{1}}\ +\ {n}_{{2}}\ -\ {2}\right)}\ {d}{f}\)
(b)Non - pooled variance:
On the contrary the property discused in part(a) about the data, when the populations variances of two populations are assumed to be unequal, then non-pooled variance is used to compare the means of two population.
It is given as
\(\displaystyle{S}\ \text{non-pooled}\ =\ \sqrt{{{\frac{{{{s}_{{1}}^{{2}}}}}{{{n}_{{1}}}}}\ +\ {\frac{{{{s}_{{2}}^{{2}}}}}{{{n}_{{2}}}}}}}\)
and the test statistic is
\(\displaystyle{A}\ =\ {\frac{{\overline{{{x}_{{{1}}}}}-\overline{{{x}_{{{2}}}}}}}{{{s}_{{{p}}}\sqrt{{{\frac{{{{s}_{{1}}^{{2}}}}}{{{n}_{{1}}}}}+{\frac{{{{s}_{{2}}^{{2}}}}}{{{n}_{{2}}}}}}}}}}`\)
(c)Paired interfence(Pained test):
Let us consider the case when
(i) sample a sizes are equal and
(ii) the samples are not independent but the sample observations are painted together.
i.e. the pair of observations\(\displaystyle{\left({x},{i}{y}.{i}\right)}\ {\left({i}={1},{2}..{n}\right)}\)
comprresponding to the same i-th unit.
For example. Suppose we want to test the effiency of a particular drug, say, for inducing sleep.Let xi and \(\displaystyle{y}{i}\ {\left({i}\ =\ {1}..{n}\right)}\) be the readings, in hours of sleep, an the i-th individual before and after the drug is givenrespectively.

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