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Develop the tools we need for Life Science Masters Degree in Bioinformatics Bioinformatics is the exciting field where biology, computer science, and mathematics meet. We solve problems from biology and medicine using methods and tools from computer science and mathematics. 1 Hypothesis Testing The Null and Alternative Hypothesis Every hypothesis test contains two hypothesis: the null hypothesis and the alternative hypothesis. The null hypothesis is a statement about the population parameter being equal to some value.

The simple events and sample space are S:{1,2,3,4,5,6}. The assignment of probabilities is then: S:{P(1)=17%; P(2)=17%; P(3)=17%; P(4)=17%; P(5)=17%; P(6)=17%;} The last step is to determine which of the simple events make up the event of interest. In this case, the event that we win. We win the game if the observed up face is even. Thus, we win if we roll a 2, 4, or 6. Written in notation A :{2,4,6}. 17 = 50%. com 34 A Handbook of Statistics Probability Probability related experiments exist outside of tossing die and flipping coins.

The thought behind the t-distribution is that since you have less information with which to work with, the distribution is less forgiving than the normal. It is less forgiving by having heavier tails than the normal. These heavier tails mean that there is more opportunity to producing values that are further from the mean than they would be for a normal distribution. Each different sample size has its own t-distribution, because the smaller the sample size, the heavier the tail. Put another way, the less information you have, the heavier and flatter the t-distribution is, which as you can imagine, leads to producing values far from the mean.

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