Introduction to Type I and Type II errors
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Introduction to Type I and Type II errors
Both type 1 and type 2 errors are mistakes made when testing a hypothesis. A type 1 error occurs when you wrongly reject the null hypothesis (i.e. you think you found a significant effect when there really isn't one). A type 2 error occurs when you wrongly fail to reject the null hypothesis (i.e. you miss a significant effect that is really there).
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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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