In Bayesian statistics, what does the prior distribution represent?

a$)$ The distribution of the data before any observations are made

b$)$ The likelihood of the null hypothesis being true

c$)$ The distribution of the parameter of interest before observing data

d$)$ The probability of making a Type I error