![]() ![]() We could think about we know that another ![]() What your sample standard deviation is going to be until you actually take some samples. Gonna be without knowing n so how would we determine an n? Similarly, you don't know The 90% level of confidence, you also need to know Table right over here, not only do you need to know And what's tricky here is, when you're using a t Now, this question is allĪbout what is an appropriate sample size, given that we wanna have a 90% level of confidence. The sample standard deviation divided by the square So, our critical value weĭenote as t star and you'd multiply that by that times With means is we say alright, if we don't know the standardĭeviation of the population, it's appropriate to use the T statistic. And the way we've done that since we're dealing Margin of error around that to construct the confidence interval. Sample, we construct the mean and then we add or subtract a ![]() So the traditional way that we would construct a margin ofĮrror at a confidence interval we take a sample and from that The desired margin of error? So pause this video and see Which of these is the smallest approximate sample size required to obtain That the driving ranges for this type of vehicle have a standard deviation of 15 kilometers. She wants the margin of error to be no more than 10 kilometers atĪ 90% level of confidence. Create a confidence interval to estimate the mean driving range for her company's new electric vehicle. ![]()
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