Need help with question! this chapter is on non parametric tests/ linear correlation. It involves using the Chi-square test, sign test hypothesis, and run test.

Below are matched pair data consisting of strength scores for a sample of 9 steel rods before and after they were treated with a new coating. At a 0.1 significance level, use the sign test to test the claim that treatment with this coating affects strength of these steel rods. Before 70 86 85 75 90 88 75 67 70 After 71 82 89 74 91 84 77 67 74 (a) What is the value of the test statistic used in this sign test? K (b) What is the critical value in this sign test? (c) What is the correct conclusion of this sign test? There is sufficient evidence to support the claim that the new coating affects strength of these steel rods. There is not sufficient evidence to support the claim that the new coating affects strength of these steel rods. There is not sufficient evidence to warrant rejection of the claim that the new coating affects strength of these steel rods. There is sufficient evidence to warrant rejection of the claim that the new coating affects strength of these steel rods