ladymint0w

2022-09-04

When can a meta-analysis combine the data from all studies into one hypothesis test?

1. This can be done for any meta-analysis

2. This can only be done when similar methods were used to sample the same population.

3. This can only be done when computing confidence intervals not hypothesis tests.

4. This can be done when similar methods were used to sample different population.

1. This can be done for any meta-analysis

2. This can only be done when similar methods were used to sample the same population.

3. This can only be done when computing confidence intervals not hypothesis tests.

4. This can be done when similar methods were used to sample different population.

Gabriella Hensley

Beginner2022-09-05Added 6 answers

Meta analysis is a statistical process of combining the data of several studies to determine common result and trend.

It is used to get an accurate estimate of the effect whenever there are multiple studies having conflicting results addressing the same population.

The conclusion obtained with analysis with metadata is more powerful than it is obtained from single sample.

A meta analysis combine the data from all studies in to single hypothesis test when similar methods were used to answer the same population.

The answer is (2).

It is used to get an accurate estimate of the effect whenever there are multiple studies having conflicting results addressing the same population.

The conclusion obtained with analysis with metadata is more powerful than it is obtained from single sample.

A meta analysis combine the data from all studies in to single hypothesis test when similar methods were used to answer the same population.

The answer is (2).

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