With a hypergeometric density

with parameters 100, 10 and 10:

From your later post I gather that you're not sure how to phrase the test. So I'll suggest it is this.

The null hypothesis is that you are drawing recipes from a population of 100 recipes of which 10 have a certain ingredient. The alternative hypothesis is that more than 10 recipes have the ingredient.

You are drawing a sample of 10 (not 30) recipes

*without replacement* from the population. So

, the number of recipes in the sample with the ingredient, has a hypergeometric distribution with parameters 90, 10 and 10 under the null hypothesis. A best test would reject the null hypothesis if the p-value for

under the null is less than .05. Since the p-value for

is extremely statistically significant at

, the null hypothesis is overwhelmingly rejected.

Put another way, under the null hypothesis it is extremely unlikely that you would draw 10 recipes with the ingredient. So reject the null hypothesis.