i am stumped because the frequency table needs to sum up to 100% and i can't really linearly multiple a factor to the frequency distribution table

- Thread starter codenamenikky
- Start date
- Tags frequen frequency distribution

i am stumped because the frequency table needs to sum up to 100% and i can't really linearly multiple a factor to the frequency distribution table

Multiplying all data values by a constant spreads out (or shrinks) the data but also has the effect of making the mean become the old mean times the constant.

Multiplying all data values by a constant spreads out (or shrinks) the data but also has the effect of making the mean become the old mean times the constant.

- Scaling by a constant factor larger than 1 will makes the curve looks flatter.

- Add a positive constant will shift the whole curve horizontally to the right while keeping the exact shape (which is the only way to keep the exact shape, and thats why Dason point it out in the above post). Note that if the lower bound of the support of the original distribution is 0, then the new distribution will be bounded away from 0 which may not be desirable in the model.

- You may have other parametric assumptions, e.g. assuming the distribution following a Weibull distribution. Then by adjusting the parameters, you may achieve the mean adjustment while having the same family of distribution. But again it depends on your requirement.

And actually I am not exactly sure the question you asked. Sorry if it is off-topic.