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To determine if there is a significant difference between proportion. A portions is a data set with only good or false results (Nominal Scale). For example a portions of 90% with a samples size of 200 is 180 good and 20 false results.

- The smaller the p value is the more likely there is a significant difference between the proportion and the hypothesized proportion.
- Develve uses the commonly accepted value of p < 0.05 for significance.
- For a good power (0.8 in Develve) the sample size for both data sets must be bigger than the minimum sample size calculated.

- GreenNo significant difference
- YellowSignificant difference
- OrangeSample size to small

With the z value can the program interpolate the p value out of the z table.

- The smaller the p value is the more likely there is a significant difference between the 2 proportions.
- In Develve for proportions a significant difference the p value must be below 0.05.
- For a good power (0.8 in Develve) the sample size for both data-sets must be bigger than the minimum sample size calculated.

- GreenNo significant difference
- YellowSignificant difference
- OrangeSample size to small

With the z value can the program interpolate the p value out of the z table.

x = amount of positive/negative situations

p = n-x

q = 1-p

= Hypothesized proportion

= Proportion a

= Proportion b

- https://onlinecourses.science.psu.edu/stat200/node/53
- http://www.dummies.com/how-to/content/how-to-compare-two-population-proportions.html