1 (1 of 1) Returning to Example 4.7.1. If the researcher has chosen a significance level...

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1 (1 of 1) Returning to Example 4.7.1. If the researcher has chosen a significance level of 1% (instead of 5%) before she collected the sample, does she still reject the null hypothesis? EXAMPLE 4.7.1: Returning to the example of claiming the effectiveness of a new drug. The researcher has chosen a significance level of 5%. After a sample was collected, she or he calculates that the p-value is 0.023. This means that, if the null hypothesis is true, there is a 2.3% chance to observe a pattern of data at least as favorable to the alternative hypothesis as the collected data. Since the p-value is less than the significance level, she or he rejects the null hypothesis and concludes that the new drug is more effective in reducing pain than the old drug. The result is statistically significant at the 5% significance level. 1 (1 of 1) Returning to Example 4.7.1. If the researcher has chosen a significance level of 1% (instead of 5%) before she collected the sample, does she still reject the null hypothesis? EXAMPLE 4.7.1: Returning to the example of claiming the effectiveness of a new drug. The researcher has chosen a significance level of 5%. After a sample was collected, she or he calculates that the p-value is 0.023. This means that, if the null hypothesis is true, there is a 2.3% chance to observe a pattern of data at least as favorable to the alternative hypothesis as the collected data. Since the p-value is less than the significance level, she or he rejects the null hypothesis and concludes that the new drug is more effective in reducing pain than the old drug. The result is statistically significant at the 5% significance level.

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Note If p value is less than the significance value we reject null hypothesis if ... View the full answer