Type I Error and Type II Error | Md. Nafeez Al Tarik, CFA, FRM
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Type I Error and Type II Error | Md. Nafeez Al Tarik, CFA, FRM
Type I error is called 'False Positive' which is the probability of rejecting the null hypothesis when it is true. On the other hand, Type II error is 'False Negative', which indicates the probability failure to rejecting the null when it is false. #Finance #Statistics #CFA #FRM #HypothesisTesting https://lnkd.in/gZcqKmJ4
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SOLVED: D. What is the probability that you commit a Type I error in this hypothesis test?Type I and Type II Errors and Power of a Statistical TestE. Use the value of alpha rather than x to calculate the critical value for this one-tailed 0.01 level of significance hypothesis test.F. Suppose the true population mean battery life is 4.1 hours and alpha = 0.01. Use the critical value you computed in Part E to calculate the probability of committing a Type II error.
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SOLVED: D. What is the probability that you commit a Type I error in this hypothesis test?Type I and Type II Errors and Power of a Statistical TestE. Use the value of alpha rather than x to calculate the critical value for this one-tailed 0.01 level of significance hypothesis test.F. Suppose the true population mean battery life is 4.1 hours and alpha = 0.01. Use the critical value you computed in Part E to calculate the probability of committing a Type II error.
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