Question: Please follow all the steps to answer the question below. i have provided everything. If you are going to do half-job, please dont waste my

Please follow all the steps to answer the question below. i have provided everything. If you are going to do half-job, please dont waste my questiona nd let another person help me. These can only be answered with R program.

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Please follow all the steps to answer the question below. i haveprovided everything. If you are going to do half-job, please dont waste

Question I am a firm believer in sketching things on tests/assignments. I think that sometimes the sketch can help remind you what you have to do next, or correctly guide your thought process. One of my TA's for a previous Statistics course gathered data from marked tests to determine if sketching had an influence grades. For each student in the class, we recorded whether or not they sketched during a specific question, and also recorded whether or not they obtained the correct p- value. The results were as follows: O sketch No sketch correct 50 30 incorrect 60 90 At 10% the level of significant, is there any statistical reason to believe that sketching is associated with grades? Notes 1) The confidence level is equivalent to 1 - a. So, if your significance level is 0.05, the corresponding confidence level is 95%. 2) You can use the functions qchisq() in R to help you in solving the following. Why we are using qchisq( function in R. The qchisq() function in R allows us to specify a desired area in a tail and the number of degrees of freedom. From that information, qchisq() computes the required x-value to get the specified area in the specified tail with the specified number of degrees of freedom.a) State the two hypotheses of interest (the null Hg and alternative Ha). b) Calculate an appropriate test statistic for (a) by hand. E sketch No sketch Total correct inconcct Total C) Write your conclusion using the rejection region method \"critical value method\" include both statistical and related to the topic of the question (practical) interpretation use the function qehiqu in R

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