Extracted text: (a) What is the level of significance? State the null and alternate hypotheses. Нo: Р 3D 0.77; H:р> 0.77 Ho: p = 0.77; H,: p + 0.77 1 О но: р <0.77; h;:="" р="" %3d="" 0.77="" но:="" р%3d="" 0.77;="">0.77;><0.77 (b)="" what="" sampling="" distribution="" will="" you="" use?="" the="" student's="" t,="" since="" np=""> 5 and ng > 5. The Student's t, since np < 5="" and="" ng="">< 5.="" the="" standard="" normal,="" since="" np="">< 5="" and="" nq="">< 5.="" the="" standard="" normal,="" since="" np=""> 5 and nq > 5. What is the value of the sample test statistic? (Round your answer to two decimal places.) (c) Find the P-value of the test statistic. (Round your answer to four decimal places.)Extracted text: Sketch the sampling distribution and show the area corresponding to the P-value. 3 -2 -1 1 2 3 -2 -1 1 2 3 -3 -2 -1 1 0-3 -2 -1 1 2 3 (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a? At the a = 0.10 level, we reject the null hypothesis and conclude the data are statistically significant. At the a = 0.10 level, we reject the null hypothesis and conclude the data are not statistically significant. At the a = 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the a = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. (e) Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.10 level to conclude that the true proportion of driver fatalities related to alcohol in the county is less than 0.77. There is insufficient evidence at the 0.10 level to conclude that the true proportion of driver fatalities related to alcohol in the county is less than 0.77. 3. O O O O0.77>
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