1. The problem is to convert expected frequencies from counts to decimals (proportions). 2. Expected frequencies are usually counts representing how many times an event is expected to occur. 3. To convert counts to decimals, divide each expected frequency by the total sum of all expected frequencies. 4. For example, if the expected frequencies are $E_1, E_2, \ldots, E_n$, then the decimal form for each is given by: $$ d_i = \frac{E_i}{\sum_{j=1}^n E_j} $$ 5. This converts the expected frequencies into proportions that sum to 1. 6. This is useful for probability interpretations or when comparing relative frequencies. 7. Without specific numbers, this is the general method to convert expected frequencies to decimals.