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last week we looked a bit at the last type of continuous data which are sort of described as time to event data sometimes people talk about this as survival data itamp;#39;s sort of when you youamp;#39;re measuring a time before something happens when it may not always happen so for example you you might have be looking at whether animals how long animals survive but they donamp;#39;t all die so you donamp;#39;t have values for all the animals but you canamp;#39;t ignore those that donamp;#39;t die and just look at the ones that do so you need a way to be an able to analyze those whether or not itamp;#39;s survival youamp;#39;re looking at the methods used to analyze this type of data are always talked about as survival analysis and they take these for example animals that donamp;#39;t die into account and these are called sensored Data because you actually you know that theyamp;#39;ve survived to a certain amount of time but you donamp;#39;t know exactly how long theyamp;#