![]() That says that if weĬonstruct confidence intervals 100 times, that 99 of those Remember what a 99%Ĭonfidence interval is. Based on the interval, what do we know about the corresponding P-value and conclusion at the alpha is equal to 0.01 level of significance? So pause this video and see Assume that all conditionsįor inference have been met. To test her null hypothesis that the mean caloric content is the same, versus her alternative hypothesis, that they are different. Of giving us a P-value, we've gotten a confidence interval. ![]() ![]() To have the sample size, they don't need to. And so they give the same dataįor both of these samples, and once again they happen She took a sample of each variety to test if their average caloric contents were significantly different.
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