i use rstudio but if its the same thing any help would be great i am not sure how to solve for this. :/

We can visitalize the hull distribution with histogram using the histogram() function from the music package histogram(sin_prop) 5 Density 0 0.2 0.8 0.4 0.6 sim_prop To compite the pl, we can find the peoportion of simulated sample propustites that are at least 2 extreme s 12/16 nun (s1n_prop - phat) / Equivalent to meansin_prop > p_hat). ++ [1] 0.039 Additional Exercises You can now apply the skills developed in this lob to answer the following questions Chapter 1: Exercise 1.2.4 (with R) Suppose a researcher is testing to me if a basketball player can make free throw at a rate higher than the NBA average of 75%. The player is tested by shooting 10 free throws and makes 8 of them. Question 12: State the nell and alternative hypotheses in words and in symbols. Question 13: Simulate the nell distribution in Rt using the methods developed in this inb (ie, the forloop and sample() function). Set the seed to 11822. Do not rise the doo.flip() notation Question 14: Create a plot of the mill distribution your simulated in Question 13. Question 15: Compute the approximate) p-value based on your simulation Question 16 Compte the value of the standardized statistic (a-statistic) based on the standard deviation of the mall distribution you simulated in Question 13. Question 17: State your conclusioned on the strength of evidence, in context Question 18. Suppose the player insteal hand made all 10 shots. Using the same simulation results from Question 13, state your conclusion about the strength of evidence with a significance level of 0.05. Can you think of any limitation(s) to the reacher's My? Explain. 13 We can visitalize the hull distribution with histogram using the histogram() function from the music package histogram(sin_prop) 5 Density 0 0.2 0.8 0.4 0.6 sim_prop To compite the pl, we can find the peoportion of simulated sample propustites that are at least 2 extreme s 12/16 nun (s1n_prop - phat) / Equivalent to meansin_prop > p_hat). ++ [1] 0.039 Additional Exercises You can now apply the skills developed in this lob to answer the following questions Chapter 1: Exercise 1.2.4 (with R) Suppose a researcher is testing to me if a basketball player can make free throw at a rate higher than the NBA average of 75%. The player is tested by shooting 10 free throws and makes 8 of them. Question 12: State the nell and alternative hypotheses in words and in symbols. Question 13: Simulate the nell distribution in Rt using the methods developed in this inb (ie, the forloop and sample() function). Set the seed to 11822. Do not rise the doo.flip() notation Question 14: Create a plot of the mill distribution your simulated in Question 13. Question 15: Compute the approximate) p-value based on your simulation Question 16 Compte the value of the standardized statistic (a-statistic) based on the standard deviation of the mall distribution you simulated in Question 13. Question 17: State your conclusioned on the strength of evidence, in context Question 18. Suppose the player insteal hand made all 10 shots. Using the same simulation results from Question 13, state your conclusion about the strength of evidence with a significance level of 0.05. Can you think of any limitation(s) to the reacher's My? Explain. 13