The p-value is less than the significance level. (a) We have a Type I error (b) We have a Type Il error (c) We may have

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The P Value Is Less Than The Significance Level A We Have A Type I Error B We Have A Type Il Error C We May Have 1 (67.95 KiB) Viewed 23 times

The p-value is less than the significance level. (a) We have a Type I error (b) We have a Type Il error (c) We may have a Type I error (d) We may have a Type II error A researcher performs a right-tailed hypothesis test for the mean of a certain population. The researcher used a significance level of 5%. If the researcher had used a significance level of 1% then (a) the p-value would have decreased (b) the p-value would have remained the same (c) the p-value would have increased (d) we do not know what effect it would have on the p-value We gathered 50 observations from a certain population, and calculated a 95% confidence interval. If we had quadrupled the number of observations what would have been the approximate effect on the width of our confidence interval? (a) It would have been reduced by a factor of 8 (b) It would have been reduced by a factor of 4 (c) It would have been reduced by a factor of 2 (d) It would stay the same If we increase the significance level for a right-tailed test (a) the t critical value increases (b) the p-value increases (c) the probability of a Type I error increases (d) the probability of a type II error increase