This paper collects data on the amount of time spent cooking meals each day. Time, in this case, is a dependent variable because it is reliant on the type of activity (Chow and Teicher 54). This endeavor aims at using the probability theory to determine the likelihood that cooking consumes a given amount of time (Rohatgi and Saleh 3). Such an activity entails experimental probability because an actual situation is performed as an experiment (Mandel 90). I intend to keep track of time taken by setting a timer before I begin cooking and recording the time taken immediately after the task is complete. I expect the data to vary from day to day because I am not a regular cook. Some of the factors that are likely to skew my data include the type of meal preparation, the number of meals prepared in a day, and whether I decide to eat out or not. Different meals also require different times to prepare and cook. For example, most breakfasts involve making a cup of tea and frying an egg or toasting bread, which may take a maximum of 15 minutes. Lunches mostly involve the preparation of a simple sandwich and vegetable salad, which may take 30 minutes at most. Dinners, on the other hand, involve elaborate preparations such as peeling potatoes, chopping onions, tomatoes, and other vegetables
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