Finding P - Finding P-values For hypothesis testing for...

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Finding P-values For hypothesis testing for proportions were we calculate a Z test statistic (I’ll call it Zstat) and for testing means we use a t test statistic (I’ll call it t stat ). Finding the p-value (or probability value) is based on the alternative hypothesis, Ha. Proportion Tests If Ha uses “>” then the p-value is P(Z > Zstat) or P(t > t stat ). {Read this as the probability of getting a Z-value (or t-value) greater than Zstat (or t stat ). For the Z tests you can refer to the previous lesson where we discussed finding probabilities when we introduced the Standard Normal Table. For example, you would find the Zstat in the table, look up the cumulative probability for that value, and then subtract that probability from 1 to get the p-value. If Ha uses “<” then the p-value is P(Z < Zstat) or P(t < t stat ). {Read this as the probability of getting a Z-value (or t-value) less than Zstat (or t stat ). For the Z tests you can refer to the previous lesson where we discussed finding probabilities when we introduced the Standard Normal Table. For example, you would find the Zstat in the table, look up the cumulative probability for that value, and then this is the p-value. If Ha uses “≠” then the p-value is P(Z > |Zstat|) or P(t > t
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Finding P - Finding P-values For hypothesis testing for...

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