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The types of raw materials used to construct stone tools found at an archaeological site are shown below. A random sample of 1486 stone tools

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The types of raw materials used to construct stone tools found at an archaeological site are shown below. A random sample of 1486 stone tools were obtained from a current excavation site. Raw Material Regional Percent Observed Number of Tools of Stone Tools as Current excavation Site Basalt 61.3% 931 Obsidian 10.6% 156 Welded Tuff 11.4% 169 Pedernal chert 13.1% 186 Other 3.6% 44 In USE SALT Use a 1% level of significance to test the claim that the regional distribution of raw materials fits the distribution at the current excavation site. (a) What is the level of significance? State the null and alternate hypotheses. OH,: The distributions are the same. H, : The distributions are different. O H: The distributions are different. H: The distributions are different. O H: The distributions are different. H. : The distributions are the same. O Ho: The distributions are the same. H, : The distributions are the same. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places, Round the test statistic to three decimal places.) Are all the expected frequencies greater than 5? Yes No What sampling distribution will you use? O Student's t O normal O chi-square O uniform O binomial What are the degrees of freedom? (c) Find or estimate the P-value of the sample test statistic. O P-value > 0.100 O 0.050 a, we fail to reject the null hypothesis. O Since the P-value > a, we reject the null hypothesis. Since the P-value s a, we reject the null hypothesis. O Since the P-value s a, we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. O At the 0.01 level of significance, the evidence is sufficient to conclude that the regional distribution of raw materials does not fit the distribution at the current excavation site. At the 0.01 level of significance, the evidence is insufficient to conclude that the regional distribution of raw materials does not fit the distribution at the current excavation site

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