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# Basics Skills: Capstone Table of Contents:) Inferential Statistics: Introduction (2.) Inferential Statistics: An Example (3.) Using Inferential...

Hello and good afternoon
I do not understand what are the step to fallow in the experimental design (factors affecting leaf size)
I am confused; I don't know how to gather the data and complete the activity sheet (Basic Capstone)
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PS: the document is ESA21 Environmental Science Activities for the 21st Century Basic skills: Capstone

To examine the potential outcomes of coin flipping, we will use a Binomial Distribution. This distribution describes the probabilities for events when you have two possible outcomes (heads or tails) and independent trials (one flip of the coin does not influence the next flip). The distribution for ten flips of a fair coin is shown in Figure 1. Figure 1. Binomial distribution for fair coin with ten flips Note that ratio of 5 heads:5 tails is the most probable, and the probabilities of other combinations decline as you approach greater numbers of heads or tails. The figure demonstrates two important points. One, it shows that the expected outcome is the most probable - in this case a 5:5 ratio of heads to tails. Two, it shows that unlikely events can happen due solely to random chance (e.g., getting 0 heads and 10 tails), but that they have a very low probability of occurring. Also note that the binomial distribution is rather "jagged" when only ten coin flips are performed. As the number of trials (coin flips) increases, the shape of the distribution begins to smooth out and resemble a normal curve. Note how the shape of the curve with 50 trials is much smoother than the curve for 10 trials, and more representative of a normal curve (Figure 2). Figure 2. Binomial distribution for fair coin with 50 flips
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