Stat Crunch Discrete Uniform Calculator PDF

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STAT 221

StatCrunch: Discrete Uniform Calculator Hi, Embry Riddle Aeronautical University, so there's a lot of things that are being talked about in the section of the course. One of them is involving what's known as a uniform distribution or in our case, a discrete uniform distribution. And the questions about dice, if you roll the dice, what's the or what's the probability of getting a one? What's the probability of getting a value between two and four, that sort of thing? So the way to figure that out is you click on that calculators and then go down to discrete uniform distribution. I also want to point out that there's all kinds of other areas here you could look at to depending on what the problem is. And they each have specific calculators that will help you determine what the answers are. But right now, we're talking about the uniform. Let's talk about a situation where we've got six dice and we want to compute the possibility of rolling a three year lapse. And as you can see, roll a one, two or three and the probability is zero point five or 50 percent. And if you want to determine the probability of throwing anything between two and a five, for example, it compute again. You see that probability to roll two, three, four or five is going to be sixty six percent. So this gives you an idea of what the different calculators are. This is the between calculator. I'm going to click on this first one. This is the standard calculator you have. The standard is where we figure out what the probability is rolling at one, two or three that between us where we looked at the probability of rolling anything between two and five. So I hope that helps us.

StatCrunch: Hypothesis Test - One Proportion Hi, here, Embry Riddle Aeronautical University, we are going to run a claim about a proportion using StatCrunch. And so here's our problem. I can control the percentage of U.S. residents who support stricter gun control laws has been 52 percent, a recent Gallup poll of 1011 people showed 495 in favor of stricter gun control laws assumed the poll was given to a random sample. People test the claim that the proportion of those favoring stricter gun control has changed from point five to which is basically 52 percent prefer my hypothesis test using a significant level of point of five. So that's our alpha level point five. So in order to do this, I'm going to hover over stat, drop down to proportion statistics, go to one sample. And we're going to click on with some results, we don't have a column of data to pull from. We've got a summary. We're going to click with summary. And so I'm going to have to indicate the number of successes here. So in this case, that was four ninety five. That's the number of people in favor of stricter gun control laws out of one thousand eleven, and I am testing a claim about a proportion. So in this case, the proportion isn't a point five. It's actually point five two, so I am going to stick a five There, so it's point five two. And then I'm going to get compute and we're going to evaluate our results. So what we have here is an indication that our result is not statistically significant and the the sample proportion is actually about forty eight point nine seven percent and our sample, which is actually lower than the 52 percent. You can also see that that was lower by the negative Z stat here that

gives you the direction. Well, when you look at the P value, you can see it was point zero five three one, which actually is slightly higher than the alpha level of point o five. So in this case, we would say there is not enough evidence to reject the null hypothesis. There's not enough evidence to reject the null hypothesis. And that is how you run a one sample claim hypothesis test about a proportion.

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