Statistics and Probability Module: Computing Test Statistic Value Involving Population Proportion

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One of the processes in hypothesis testing is the calculation of the test statistic. It is the value used in determining the probability needed in decision-making. The conclusion we make depends on the computed test statistic.

Many hypothesis testing situations involve proportions. In fact, a hypothesis test involving a population proportion can be considered a binomial experiment. It means that there will only be two outcomes and the probability of a success or failure does not change from trial to trial since the outcome of each trial is independent. As you may recall, the Central Limit Theorem is not limited to sample means only. It can also be applied to sample proportions. In doing so, the z-test statistics for population proportion shall be applied.

This module will be dealing on the computation of the test statistic value for population proportion.

After going through this module, you are expected to:

1. describe the z-test statistic of proportion;

2. compute the z-value for population proportion; and

3. solve problems involving the z-value for population proportion.

Statistics and Probability Quarter 4 Self-Learning Module: Computing Test Statistic Value Involving Population Proportion


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