# Need some statistics problems

• Physics is Phun
In summary, the conversation is about finding practice problems for a second year engineering statistics course. The person initially asks for website recommendations, but then goes on to mention finding some on their own through Google. Another person suggests a difficult book that could be found in a library. The conversation then shifts to someone asking for help with using statistical measures to build a trading decision framework. They also mention needing help with spreadsheets and defining price oscillators. They provide a link for reference.

#### Physics is Phun

out of me being too poor/cheap to buy my stats txt book, I'm running out of problems to do while studying for exams.
anybody know of any good websites that may have some practice problems for a second year engineering stats course. we just covered the basics. distributions, likelihood, hypothosis testing, basic regression.
Or if you just want to share your favourite stats problem :tongue2: that'd be great too!

hmm seemed to have found some on my own...google is your friend!
still. any favourite problems people have. i'd be glad to hear 'em :)

Try to find Papoulis' book in a library or something. Headaches guaranteed!

hi, Having forgotten basic Statistics, I am not finding time to brush up basic concepts to put them to a compelling use. Actual I need to build a short-term or Intra-day trading "decision framework" for a set of Stocks based on statistical measure concepts, I can provide you with the historical intra-day numbers for a year or so and need to derive "decision values" based on a Statistical knowledge base. Can you help me with this, it will be simple and straight forward, to start with I will need an enumeration of Statistical measure "concepts" that could be used to build the model using Spread sheets- BTW,are you proficient in Spread sheets ? I will also need some approaches using which "price oscillators" can be defined for a small set of stocks and use this in the decision making framework. I hope you can comprehend me? As regards your need for Reference, I suppose this should suffice : http://www.itl.nist.gov/div898/handbook/