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The video demonstrates how to conduct a zeta test to test for a null hypothesis in a population sample. The presenter shows how to calculate the zeta value and interpret the results. The results show that the average population distribution has decreased over the past few years.

**00:00:00**This is a test of hypotheses. In this exercise, you will identify whether a test is a hypothesis test. After that, you'll calculate the interval of confidence for when you estimate the parameter. In this example, the estimated parameter is the average grade for secondary school students. The standard deviation for a population is important. We have the treatment if we know that an earlier study found that the standard deviation of a population was 8.6. This is called a deviation from the population's mean or version-standard deviation. A quasi-variance is also important. This is what is used in this equation: x bar minus the population's mean. If you're estimating the average grade for secondary school students, and you have data on population size, you can work with the hypothesis that the average grade has not decreased or increased. To do this, you would use the hypothesis that the average grade has not decreased. If you're estimating the average grade for secondary school students, and you have data on population size, and you have determined that the hypothesis that the average grade has not decreased is not the correct hypothesis, you would use the hypothesis that the average grade has not decreased. In this example, the estimated parameter is the average**00:05:00**In this video, the presenter demonstrates how to use a zeta test to look for a null hypothesis in a population sample. They show how to calculate the zeta value and how to interpret the results, which show that the average population distribution has decreased over the past few years.

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