Math

StatisticsQ&A LibraryFind 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.) Find or estimate the P-value of the sample test statistic. P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.005 < P-value < 0.010 P-value < 0.005 Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence? Since the P-value > α, we fail to reject the null hypothesis. Since the P-value > α, we reject the null hypothesis. Since the P-value ≤ α, we reject the null hypothesis. Since the P-value ≤ α, we fail to reject the null hypothesis. Interpret your conclusion in the context of the application. 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.Start your trial now! First week only $4.99!*arrow_forward*

Question

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 of Stone Tools |
Observed Number of Tools as Current excavation Site |

Basalt | 61.3% | 889 |

Obsidian | 10.6% | 162 |

Welded Tuff | 11.4% | 167 |

Pedernal chert | 13.1% | 216 |

Other | 3.6% | 52 |

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.

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.)

Find or estimate the *P*-value of the sample test statistic.

0.050 < *P*-value < 0.100

0.025 < *P*-value < 0.050

0.010 < *P*-value < 0.025

0.005 < *P*-value < 0.010

Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence?

Since the *P*-value > α, we fail to reject the null hypothesis.

Since the *P*-value > α, we reject the null hypothesis.

Since the *P*-value ≤ α, we reject the null hypothesis.

Since the *P*-value ≤ α, we fail to reject the null hypothesis.

Interpret your conclusion in the context of the application.

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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