Give description of a situation where you might want lower p-values for significance and explain why. Then explain how p-values that are 0.05, 0.049, and 0.051, might be different when interpreting statistical results. Explain why p-values are significant in contributing to public health practice. Be specific and provide examples. Use APA format for citing and references

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P-value is a measure of statistical significance which suggests the probability of an event occurring due to chance alone; it ranges from 0 to 1. In statistical testing p-value is probability to quantify the strength to favor the alternative hypothesis (if it is true) against null hypothesis for the given data.1
The lower p-value is required when the null hypothesis is true. The null hypothesis is rejected if the p-value is less than the significance or α level. In particular, p values less than 0.05 are often reported as statistically significant. For example we want to compare a new medical treatment with a standard treatment, the control....
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