prev next front |1 |2 |3 |4 |5 |6 |7 |8 |9 |10 |11 |12 |13 |14 |15 |16 |17 |18 |19 |20 |21 |22 |23 |24 |25 |26 |27 |28 |29 |30 |31 |32 |33 |34 |35 |36 |37 |38 |39 |40 |41 |42 |43 |44 |45 |46 |47 |48 |49 |50 |51 |52 |5354 |55|review
1.To calculate a probability using the binomial distribution model that, by definition ranges from 0 to 1.0, we need 3 pieces of information as depicted in the formula.
2.In this example, we need to know the probability of the outcome for a given individual, denoted “p”.
3.We need to know how many times (or patients) the process will be repeated, denoted “n”.
4.And we need to know the quantity (i.e. number of outcomes) that we want to estimate, denoted “x”.