What assumptions are necessary to make this a valid estimate?
what is a 5 number summary
With a computed tstatistic of 2.63, what conclusion should you draw?
I’m a 69 year old Grandfather who left behind the study of statistics in 1986. I appreciate your work here. It has reopened my mind to what I left behind, and brought new (and I think better) meaning. A younger friend is having difficulty and I have recommended your work here to her.
The relative costs of false positives and false negatives, and thus the best P value to use, will be different for different experiments. If you are screening a bunch of potential sexratiochanging treatments and get a false positive, it wouldn't be a big deal; you'd just run a few more tests on that treatment until you were convinced the initial result was a false positive. The cost of a false negative, however, would be that you would miss out on a tremendously valuable discovery. You might therefore set your significance value to 0.10 or more for your initial tests. On the other hand, once your sexratiochanging treatment is undergoing final trials before being sold to farmers, a false positive could be very expensive; you'd want to be very confident that it really worked. Otherwise, if you sell the chicken farmers a sexratio treatment that turns out to not really work (it was a false positive), they'll sue the pants off of you. Therefore, you might want to set your significance level to 0.01, or even lower, for your final tests.
On what basis do you offer your consultation to her?
Hi, how can I register for your forums? I don’t see register link on your site. I am trying to help my son with his science project which requires some statistical analysis. Thanks.
You should decide whether to use the onetailed or twotailed probability before you collect your data, of course. A onetailed probability is more powerful, in the sense of having a lower chance of false negatives, but you should only use a onetailed probability if you really, truly have a firm prediction about which direction of deviation you would consider interesting. In the chicken example, you might be tempted to use a onetailed probability, because you're only looking for treatments that decrease the proportion of worthless male chickens. But if you accidentally found a treatment that produced 87% male chickens, would you really publish the result as "The treatment did not cause a significant decrease in the proportion of male chickens"? I hope not. You'd realize that this unexpected result, even though it wasn't what you and your farmer friends wanted, would be very interesting to other people; by leading to discoveries about the fundamental biology of sexdetermination in chickens, in might even help you produce more female chickens someday. Any time a deviation in either direction would be interesting, you should use the twotailed probability. In addition, people are skeptical of onetailed probabilities, especially if a onetailed probability is significant and a twotailed probability would not be significant (as in our chocolateeating chicken example). Unless you provide a very convincing explanation, people may think you decided to use the onetailed probability after you saw that the twotailed probability wasn't quite significant, which would be cheating. It may be easier to always use twotailed probabilities. For this handbook, I will always use twotailed probabilities, unless I make it very clear that only one direction of deviation from the null hypothesis would be interesting.
What would you believe her decision was?
Is an report.
I have try researching, but none of the experiment is about flipping multiple coins leading to the shape of a binomial and geometric distribution.
Yes i have read the pages but i think it did not explain the shape of the binomial and geometric distribution.
It really depends on what you mean by “correlation” and what kind of data you have. If you really mean correlation, as in one goes up and the other goes down, is a possibility.
What's a Hypothesis?  Caseinterview

M&M Report  Statistical Hypothesis Testing  …
reply to my email:

How to Write Predictions and Hypotheses in …
Repeat 100 times, record the results.# of tosses until all heads or tails(Record 15 if the number 15.)

What a Hypothesis Is and How to Formulate One
If so, what is it?
Do You Need to Write a Lab Report? Rely on Us!  …
Here are three experiments to illustrate when the different approaches to statistics are appropriate. In the first experiment, you are testing a plant extract on rabbits to see if it will lower their blood pressure. You already know that the plant extract is a diuretic (makes the rabbits pee more) and you already know that diuretics tend to lower blood pressure, so you think there's a good chance it will work. If it does work, you'll do more lowcost animal tests on it before you do expensive, potentially risky human trials. Your prior expectation is that the null hypothesis (that the plant extract has no effect) has a good chance of being false, and the cost of a false positive is fairly low. So you should do frequentist hypothesis testing, with a significance level of 0.05.
Quality Papers: How To Do Hypothesis Testing In …
A Bayesian would insist that you put in numbers just how likely you think the null hypothesis and various values of the alternative hypothesis are, before you do the experiment, and I'm not sure how that is supposed to work in practice for most experimental biology. But the general concept is a valuable one: as Carl Sagan summarized it, "Extraordinary claims require extraordinary evidence."
Efficientmarket hypothesis  Wikipedia
Thanks, Todd. I will get to work fixing the broken link. In the meantime, it’s redirecting to the correct page. I can see how a book on the notation would be useful but whew…what a huge endeavor that would be! I have added a couple hundred articles to this site on definitions and I have tried to define statistics terms in plain English. I hope you find the site content to be a helpful addition to the book. Regards, S.
Science Fair Project Ideas, Answers, & Tools
The book itself is not what I had hoped for. However, the price (one night at the honky tonk drinking beer) is worth the risk and I’m hoping there’s some useful content.