Statistical Significance
Kyle explains the concept of statistical significance and how it relates to the null hypothesis. He discusses how to determine if observed differences between stores are due to chance or if there is a significant difference.In this clip
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Data Skeptic
[MINI] ANOVA
Related Questions
I have a question about this episode John Ioannidis on Statistical Significance, Economics, and Replication and this Rethinking Statistical Significance. A researcher is studying mirex contamination in farmed salmon. He first found a 95% confidence interval for the mean concentration to be 0.0834 to 0.0992 parts per million. Later, he rejected the null hypothesis that the mean did not exceed the EPA's recommended safe level of 0.08 ppm based on a P-value of 0.0027. Explain how these two results are consistent, discussing the confidence level, the P-value, and the decision.
A researcher is studying mirex contamination in farmed salmon. He first found a 95% confidence interval for the mean concentration to be 0.0834 to 0.0992 parts per million. Later, he rejected the null hypothesis that the mean did not exceed the EPA's recommended safe level of 0.08 ppm based on a P-value of 0.0027. Explain how these two results are consistent, discussing the confidence level, the P-value, and the decision.
Choose the correct answer below. A. The 95% confidence interval lies entirely above the 0.08 ppm limit, which is consistent with rejecting the null hypothesis. The researcher used an upper-tail test, so the P-value should be smaller than 0.5 (1 minus 0.95) equals 0.025, which it was. B. The 95% confidence interval lies entirely above the 0.08 ppm limit, which is consistent with failing to reject the null hypothesis. The researcher used an upper-tail test, so the P-value should be smaller than 0.5 (1 minus 0.95) equals 0.025, which it was. C. The 95% confidence interval lies entirely above the 0.08 ppm limit, which is consistent with failing to reject the null hypothesis. The researcher used a two-tail test, so the P-value should be smaller than (1 minus 0.95) equals 0.05, which it was. D. The 95% confidence interval lies entirely above the 0.08 ppm limit, which is consistent with rejecting the null hypothesis. The researcher used a two-tail test, so the P-value should be smaller than (1 minus 0.95) equals 0.05, which it was.