Can anyone help me think of a real life story using inferential statistics?
460062
what are inferential statistics?
877320
Something I always found interesting would be something similar to Myth Busters. Perhaps find a myth or an old wives tale that you would like to disprove. That could be not only practical, but interesting as well.\n\n-Christopher
122954
I would tell a story, a passage in time, an anecdote which changed my life. Give details, describe as though people can actually visualise it. Put adjectives, move around a bit, mimic (OK not everybody can do that but it calms your nerves at the same time).. Make it very lively, don't use long and big, elaborate sentences and go straight to the point.
31132
A lot of people refuse to believe that statistics can apply to them.  If you focus on anecdotal evidence, you can ignore broader trends.  If you understand the ubiquity of probablity, you'd be less likely to engage in dangerous behaviors where the odds are agaist you (even though you might know some of the rare exceptions to the rule in your everyday life).
885857
Having the ring of truth or plausibility but actually fallacious: a specious argument.
736479
Broad question! Focusing it would help us answer better.\n\nReally basic stats would do things like tally and sum, average, find the median of the subjects you are testing.\n\nOnce you have those descriptive statistics, you can do things like compare outcomes between groups. Suppose you have two samples of people. One group has a mean life expectancy X. The other has mean life expectancy Y. To determine whether X and Y are significantly different from each other, you could do a Student t-test to determine whether the difference in values of X and Y are truly significant, or differ only by chance.\n\nthat's just one example. there are tons more!
371512
You could show how knowledge changes the odds. There is a simple one that almost seems like magic until you understand how it works. \n\n1. Take 3 shells (cups, caps or anything that you can hide an object under.)\n\n2. Hide the object under one of them and mix them up so that you are the only one that knows which shell has the object.\n\n3. Let them pick a shell, but don't show them yet.\n\n4. Whether they pick the correct one or not at least one of the shells that they didn't pick will be empty. Show them an empty shell out of the two they did not pick.\n\n5. Give them the opportunity to change their pick from their first pick to the other one that they did not see. Only if they want to first.  Later to prove the odds experimentally you will direct them whether to stick with their first choice or to change.\n\n Here is the rub: most people will not change because they either will think it is a trick or they will falsely believe that now that they are down to two choices it is a 50/50 chance, so why change. However, they will be wrong in that belief. It is better for them to change their choice. If they stay with their first choice they still only will be right 1/3 of the time, therefore if they change their choice they will be right 2/3 of the time. Most will not believe this even after they are told, so run the experiment both having them keep their 1st choice everytime, and then changing every time. You need to keep track of correct and incorrect choices for both experiments the larger the number of trys in each experiment the closer you will get to 1/3 right for the first experiment and 2/3 right for the second.
92016
When dealing with the occurrence of more than one event, it is important to be able to quickly determine how many possible outcomes exist.\n\nFor example, if ice cream sundaes come in 5 flavors with 4 possible toppings, how many different sundaes can be made with one flavor of ice cream and one topping?  \n\nRather than list the entire sample space with all possible combinations of ice cream and toppings, we may simply multiply 5 • 4 = 20 possible sundaes.  This simple multiplication  process is known as the Counting Principle.
14364
The online statistician has done some remarkable analysis for many companies. A few of the case studies are explored in detail, including the confidence intervals and applications, online. \n\nhttp://www.onlinestatistician.com/online-marketing-consultant.php\n\nUsing a statistician who understands business data to out perform your competition, better reach the customer, and recreate your business is a winners strategy.
676479
Statistics and probability aren't used to predict what future events will occur.  Based on simulation (e.g. throwing dice), statisticians can assign likelihood estimates to events.  In no way does probability estimate what event will come next.  We'll leave that to professional gamblers.  Probability is concerned with what happens in the "long run." \n\nYou say all things have a 50/50 chance of occurring - do you win the lottery every other time you play?  Do you get in a car accident every other time you drive?  You should re-think your 50/50 reasoning.\n\nStatistics isn't just probability - statisticians design studies, run clinical trials, program computers, ensure quality in industrial processes, and many other valuable tasks.
1003920
i am not sure with who came up with the concept, but this might be usefull \n\nhttp://en.wikipedia.org/wiki/Probability_Density_Function
611273
Personal experience or simple curiousity (the why, what if, how come way of thinking).
1099243
No. This is what we call probability. Take a statistics course.
330509
Here is the best one. Snopes - http://www.snopes.com/snopes.asp\n\nYou can also try Truth Or Fiction - http://truthorfiction.com/
108275
statistics describes real life with numbers. \nit is one thing to say: "there is discrimination", and another "females earn 20% less than males on average, but the gap had shrunk from 1960-s when it was 35%"
435037
try this site for help on probabiliity\n\nhttp://www.futureaccountant.com/probability/
986369
In hypothesese you would usually try to keep it as far from using personal pronouns as possible so saying,\n'It is predicted that...' is usually a good way to start.\nAlso you can either do a one or two tailed hypothesis.\nExample of 1 tailed, 'It is predicted that people tend to have their first child between ages 23-28'\nExample of 2 tailed, 'It is predicted that people tend to have their first child either at age 24 or age 27'\n\nThe first example is probably better for your work here.\nTo be honest whenever I did coursework like this I did the research first and asked the questions then whatever I found out, I edited my hypothesis to back up my findings.\nJust try to make it fit what you find out and you cant go wrong :)\n\nGood luck on the coursework! x