Originally Posted by SamGray
What about miura
I believe they are pretty much the exotic equivalent to Mizuno irons, but I could be wrong on this one. Just go out to a Golfsmith, Golf Galaxy, Golf USA etc. and try out all the different clubs there. Test all the different clubheads with a common shaft, preferably the one that you currently use, against your current clubs. Then pick your top 2 or 3 clubs and test different shafts in those clubheads and again compare them to your current golf clubs.
In addition, if you really want to get down to the facts of it, you can use statistics (basic guide for this can be found at: http://www.wikihow.com/Assess-Statistical-Significance) to figure out whether the new clubs will actually make any difference in your play before accounting for confidence in your clubs.
The basic gist of it is to state a null hypothesis (That the new clubs are equal to or worse than your current ones in distance or accuracy) and a confidence (alpha) level. One common confidence level is 95% (you're wrong 1 out of 20 times). Find the average for either accuracy or distance (but not both at once) with a new set of clubs and your current clubs. Make sure to have a reasonable sample size of at least 15-20 shots to help smooth out possible outliers in the data. Then take the data set (each individual result) for the new clubs and find the standard deviation for it using the calculator at http://www.calculator.net/standard-deviation-calculator.html to make it easy. Finally, multiply your standard deviation by 1.96 to find the size of the "z-interval" required to prove a 95% confidence level true. Add and subtract the z-interval value from your average and find the minimum and maximum levels required to prove significance. If the average from your current clubs falls within that range, there is NOT a statistically significant (at the 95% level) difference between your current clubs and the new ones.
- Pick an alpha level (95% is good enough)
- Find averages for both data sets
- Calculate the standard deviation for the new clubs' data set
- Multiply the standard deviation by a value determined by your alpha level to get your z-interval (95% = 1.96, 97% = 2.17, 99% = 2.58)
- Add and subtract the z-interval from the new clubs' mean to create a range
- If the average from your old clubs falls within this range, there is no statistical evidence to support a difference in clubs at your alpha level
A little in-depth, but it's a tool that I've found useful for more applications that just testing golf clubs.