sample size

The first is to increase the sample size of the study.

The number of subjects is known as the sample size.

The sample size per year is shown in the following table.

The good news is that the test works - at least in a sample size of one: me.

Let and be the sample size corresponding to each group.

Still, small sample size, so there are no hard and fast rules.

However, the sample size of this study is evidently small.

The same process is continued until an appropriate sample size remains.

Again the small sample size and poor quality of studies was highlighted.

To say that we have a good sample size is naive.

Sample size was not clear, but it appeared to be 45 dogs.

If the systems are weak the sample size may need to be increased.

The small sample size means the groups might not be a good representation of the larger population.

It may be used with small sample sizes n 25.

Despite the small sample size, Flood says, the results were highly significant.

How close to the line the points will lie does depend on the sample size.

Seriously, we are talking about a sample size that I can count on two hands.

Or perhaps a small sample size simply masks a team still struggling.

It is a technique which can also help keep sample size down in the case of a large survey.

The sample size is an important consideration in experimental design.

The authors caution against reading too much into the results, given the small sample size.

But of course that's just anecdotal, being the tiny sample size.

The solution is rather boring: they need to increase the sample size.

At the same time, sample size must be minimized for cost reasons.

After all, 35 innings isn't nearly a large enough sample size.