Select the two variables for the X variable and Y variable. Now that Statcrunch is open, click "Graph" and then "Scatter Plot". Scatter plot: Click the little box to the right of the data set and select "Open in Statcrunch". If you ever feel that is lacking in an area, please let me know and I'll do my best to improve it. I will be adding to this site as the semester goes along. I highly recommend using Statcrunch in this course. Then look it up in a z-table and see what's the probability of getting that extreme or more extreme of a result and compare it to alpha.This webpage is designed to help out with using Statcrunch. We're gonna go all the away and calculate this, and Population proportion divided by our sample size. Population proportion times one minus our assumed The assumed standard deviation of the sampling distribution Population proportion from the null hypothesisĪnd you divide that by the standard deviation, In the null hypothesis, that's what this little zero says, that this is the assumed Like this that you say, hey look, you have your sample proportion, you find the difference between that and the assumed proportion Sometimes, you will see a formula that looks something Getting that far or further from the true proportionĪnd then that would give us our p-value which we canĬompare the significance level. Some value which it says how many standard deviationsĪway from 0.08 is 0.11? And then we could useĪ z-table to figure out what's the probability of Out to figure this out but this would give us Of sample proportions and then you divide that by n That times one minus 0.08 so we'll multiply that times 0.92 and this come straight from we've seen it in previous videos, the standard deviation of the sampling distribution So we're assuming it is 0.08 and then we'll multiply Remember, all that is is,Īnd sometimes we don't know what the population proportion is but here we're assumingĪ population proportion. And so how do we figure it out? Well, we can figure out the difference between the sample proportion here and the assumed population proportion, so that would be 0.11 minus 0.08 divided by the standard deviation of the sampling distribution And so what we wanna do is figure out the number of standard deviations, and so that would be a z-statistic. What's the probability of getting that many standardĭeviations or further from the true proportion? We could use a z-table to do that. The assumed proportion is it? And then we could say Standard deviations away from the true proportion, Out this probability? Well, one way to think about it is we could say how many Is lower than alpha, then we would reject the null hypothesis which would suggest the alternative. Probability of getting a result this far away or further from the assumed population proportion? And if that probability Now the next step isĪssuming the null hypothesis is true, what is the Is 22 out of the 200 people in the sample are unemployed. The sample proportion and we figure out that it The sample statistic we would care about is Than 10% of the population, and we calculate a sample statistic here, and it would be, since we care about the true population proportion, Met the independence condition, we'll assume that this is less People, so this is our sample, n is equal to 200, since it Mayor of the town sets it, let's say, he sets or she setsĪ significance level of 0.5. And so what we would do is we would set some type of a significance level, we would assume that the In this town is different, is different than 8%. To report so to speak, and we have our alternative hypothesis that no, the true unemployment Hypothesis tends to be the no news here, nothing That the true proportion of unemployed people in our town, that's what this p represents, is the same as the national unemployment. To rewrite everything just to make sure I've In previous videos, identify the correct test statistic for this significance test. Assuming that the conditionsįor inference have been met, and so that's the random, normal,Īnd independent conditions that we've talked about Of residents in the town that are unemployed. Not the same as the national, where p is the proportion Is that the unemployment rate is the same as the national one versus the alternative hypothesis which is that the unemployment rate is True in their own town, so they took a sample of 200 residents to test the null hypothesis Of a town saw an article that claimed the national
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