How to find observed frequenty?
To find the observed frequency, you need to have data on the number of times an event or outcome has occurred in a given sample or dataset. Here are the steps to determine the observed frequency:
1. Collect your data: Make sure you have a dataset that includes the counts or occurrences of the event or outcome you are interested in. For example, imagine you are studying the frequency of different eye colors in a sample of 100 people, and you have recorded the number of people with each eye color (e.g., 20 with blue eyes, 50 with brown eyes, 30 with green eyes).
2. Identify the event or outcome: Determine the specific event or outcome you want to find the observed frequency for. This can be a particular category or a range of values within your dataset. For instance, let's say you want to find the observed frequency of people with blue eyes.
3. Locate the relevant data: Look for the category or values that correspond to the event or outcome you are interested in. In our example, you would identify the count or frequency of people with blue eyes (which you already recorded as 20).
4. Calculate the observed frequency: Once you have identified the relevant data, you can simply use that count or frequency as the observed frequency for the particular event or outcome you are examining. In our example, the observed frequency for the event "blue eyes" is 20.
Remember, observed frequency refers to the actual count or frequency of an event or outcome as observed in the collected data. It is commonly used in various fields, including statistics, research analysis, and experimental studies.