A1. Load sa3.txt and save it in the variable sa3. This file is tab-separated and has a header.2. For each level of the independent variable, calculate the mean, median, and standard deviation of the dependent variable.Store your results as {level}.mean, {level}.median, and {level}.sd. Where it says {level}, put the exact name of the level as it is in the column, without {…} or anything else around it. E.g., if the level was called island, you’d write island.mean.3. For each level of the independent variable, calculate a 92.8% confidence interval of the mean for the dependent variable.Store the confidence interval as {level}.ci.left and {level}.ci.right, depending on whether you’ve calculated the minimal endpoint (least) or the maximal end-point (greatest). You must use the confidence interval formula to do this calculation, as seen in class: CI = ¯x − (t × SE) and CI = ¯x + (t × SE).Sometimes, if there’s a sudden shift in the sense of a word, that can be an indication a word might be polysemous. For instance, if I enjoyed the book but it was heavy seems a little off to you, it might be because you’ve suddenly switched senses for book.4. For each level of the independent variable, check that the dependent variable is normally distributed. First, produce a relevant plot with appropriate labels, scaling, and so on. Then, use an appropriate statistical test to check for normality. Store the result of the test in {level}.normality.test.5. Produce a side-by-side boxplot that visualizes the dependent variable for each level of the independent variable. (There’s nothing to store for this step.)6. Take the levels of the independent variable, and perform an F-test on the dependent variable. Store the result of the test in variance.test.
B
Use your findings from the previous section to answer the following questions.1. For this question, you’ll complete your check for normality. For each level of the independent variable, report the result of the normality test (in the appropriate style), and include your plot.2. For this question, use your barplot to compare the dispersions and central tendencies of the groups in the experiment. In a few sentences, (i) evaluate whether the dispersions are similar or not (and how you can tell), and (ii) evaluate whether the central tendencies are similar or not (and how you can tell). Make sure you’re specific about what measure of dispersion and what measure of central tendency you’re talking about, and include your barplot in the answer.3. Based on your confidence intervals of the means calculated in Part A, would you conclude that the means for these groups in this experiment are different? In a sentence or two, explain your reasoning.4. Report the results of the F-test in the appropriate style and then briefly state whether this is evidence that polysemous words are more variable in their reaction times than monosemous words.
B.The ascending aorta is approximately 2.6 cm in diameter. The aortic arch is approximately 5 cm above the heart. What is the pressure in the aorta at the beginning of the aortic arch during discharge? (You can assume the blood is experiencing hichehnningles) Clearly state any assumptions.
C. One of the semilunar valves separates the left ventricle from the aorta. If the pressure in the left ventricle is 91.3 mmH (12,173 Pascal) during the start of aortic discharge, what is the friction coefficient (Knitting) for the semilunar valve? Clearly state any assumptions.