12. Humerus bones from the same species of animals tend to have approximately the same length-to-width ratios. Forty-nine (49) fossils of humerus bones were unearthed at an 2/1 archeological site where species A is believed to have inhabited. The sample mean ratio is 9.254, and the sample standard deviation is 1.201. Suppose you want to find out whether the unearthed bones are from species A. It is known that the mean length-to-width ratio of species A is 9.0. The specific statement that you want to verify is that the population mean length-to-width ratio of humerus bones unearthed at the site is different from 9.0. Answer the following questions:
(1) Build the null and alternative hypotheses given that this is the statement you tend to promote.
(2) Conduct a hypothesis testing to draw a statistical conclusion regarding whether to reject the null hypothesis or not at the significance level (α) of 5%. Report the P-value of the test.
(3) Based on the hypothesis testing you performed in part (2), can you conclude practically that the population mean length-to-width ratio of the humerus bones unearthed at the site is the same as 9.0 (or that the unearthed bones are from species A)? Explain why
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12. Humerus bones from the same species of animals tend to have approximately the same length-to-width...
Humerus bones from the same species of animal tend to have approximately the same length-to-width ratios When fossils of humerus bones are discovered, archaeolog#sts can often determine the species of animal by examining the length-to-width ratios of the bones. It is known that species A exhibits a mean ratio of 8.1 Suppose 41 fossils of humerus bones were unearthed at an archaeological site, where species A is believed to have lived The length-to-width ratios of the bones are listed in...
2. Suppose that we have n independent observations x1,..., xn from a normal distribution with mean μ and variance σ, and we want to test (a) Find the maximum likelihood estimator of μ when the null hypothesis is true. (b) Calculate the Likelihood Ratio Test Statistic 2 lo g max L(μ, σ log | max L( 1) (c) Explain as clearly as you can what happens to T when our estimate of σ2 is less than 1. (d) Show that...
2. Suppose that we have n independent observations x1,..., xn from a normal distribution with mean μ and variance σ, and we want to test (a) Find the maximum likelihood estimator of μ when the null hypothesis is true. (b) Calculate the Likelihood Ratio Test Statistic 2 lo g max L(μ, σ log | max L( 1) (c) Explain as clearly as you can what happens to T when our estimate of σ2 is less than 1. (d) Show that...
In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some increase the P-value by a small amount and therefore produce a slightly more "conservative" answer Is fishing better from a boat or from the shore? Pyramid Lake is located on the Palute Indian Reservation in Nevada. Presidents, movie stars, and people who just want to catch fish...
Given X, and x, distributions that are normal or approximately normal with unknown o, and on, the value of t corresponding to X, - X, has a distribution that is approximated by a Student's t distribution. We use the convention that the degrees of freedom is approximately the smaller of n - 1 and n, - 1. However, a more accurate estimate for the appropriate degrees of freedom is given by Satterthwaite's formula: 2 2 xn2 522 +$22) d.f. z...
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