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D. Is there anything misleading about the graph? Give at least one way to improve the graph. Was a valid sampling method used to obtain the data? If so, explain and identify the name of the sampling method given. If not (or if this information is not given), describe a valid sampling method (in detail and in context) that could have been used and identify the name of the sampling method you described. E. Carry out a simulation for the most common category. Assume a sample of size 100 and P = 0'5. Complete 50 trials of the simulation using the RossmanChance applet at mpzwww.rossmanchancecomzappletsZOnePr QpZOneProphtm. Take a snip or screenshot of the resulting dot plot. Compute a two-sided p- value for the most common category in your graph. Based on your p-value, what is the appropriate conclusion for a test of these hypotheses: H02p=0.5 HA:p750.5 A. Find a bar plot in the media or online. Include an image of the graph you found, not just the link. I! H Hint: Google "bar plot, bar graph," or "bar chart." Choose a graph with a topic that is interesting to you since you will be using this graph for Parts 1 and II of this project. The vertical scale can be given in frequencies (count) or relative frequencies (proportions). Be sure that the graph is depicting real data, not made-up data. B. Identify the categorical variable being depicted. C. Answer questions: 1. What is the most common category and least common category? 2. What is the relative frequency for the most common category? Note: this is the value for p that you will use in part F. below. 3. Conjecture the number of individuals in the most common category if there were 5,000 individuals included