Proportions

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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.

1 sample Proportion test

To determine the significant difference between an Hypothesized proportion and a measured proportion.

Interpretation

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.

Colors of the cells

Green
No significant difference
Yellow
Significant difference
Orange
Sample size to small

Options

Bigger/Smaller (one sided test) or not equal test (two sided)

Formula

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

Sample size

Not Equal

Bigger/smaller

2 sample Proportions test

To determine the significant difference between an two different proportions.

Interpretation

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.