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In this lesson, we will discuss the very important topic of p-values in statistics. The p-value is a calculation that we make during hypothesis testing to determine if we reject the null hypothesis or fail to reject it.
The p-value is calculated by first finding the z test statistic. Once this is known we then need to find the probability of our population having a value more extreme than the test statistic. This is done by looking up the probability in a normal distribution table. We then interpret the results by comparing the p-value to the level of significance.
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