5.2.26. Bird songs can be characterized by the number ofclusters of "syllables" that are strung together in rapidsuccession. If the last cluster is defined as a "success,"it may be reasonable to treat the number of clusters ina song as a geometric random variable. Does the modelPx(k) (1 - p)k-1p, k 1, 2,..., adequately de-scribe the following distribution of two hundred fiftysong lengths (108)? Begin by finding the method of mo-ments estimate for p. Then calculate the set of "expected"frequencies.==No. of Clusters/Song Frequency|132234567 ∞52344975586250

Answered: Image /qna-images/answer/f52a616a-9490-4bd9-8a90-74658b71b1e7.jpg

Answered: 5.2.26. Bird songs can be characterized…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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34.
6.39 Largest private companies. IPOs-initial public offerings of stock-create billions of dollars of new wealth for owners, PRIVCO managers, and employees of companies that were previously privately owned. Nevertheless, hundreds of large and thou- sands of small companies remain privately owned. The reve- nues of a random sample of 15 firms from Forbes 228 Largest Private Companies list are given in the table (next page). Company Staples Pilot Flying J Tenaska Energy Wawa Gulf States Toyota Brookshire Grocery Sinclair Oil Bose Mary Kay Drummond Petco SAS Forever 21 Rock Ventures Conair Revenue (in billions) $14.0 29.0 11.9 12.1 9.2 2.5 5.0 3.9 3.6 2.0 4.0 3.3 2.7 6.7 2.0 Source: Data from "America's Largest Private Companies," Forbes, December 17, 2019. a. Describe the population from which the random sam- ple was drawn. b. Use a 98% confidence interval to estimate the mean revenue of the population of companies in question. e. Interpret your confidence interval in the context of the…
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The table below gives the two-way classification of 400 randomly selected persons based on their status as a smoker or a nonsmoker and on the number of visits they made to their physicians last year. Suppose you must test the hypothesis at 5% level of significance whether there is a relationship between smoking and visits to the physician. Status Visits to the Physician 0-1 2-4 >3D5 Smoker 25 60 75 Nonsmoker 110 90 40 The expected frequencies will be O a) 54, 44,81. 90 and 70 O b) 54, 60. 81. 90 and 69 Oc) 112, 100.90,81 and 69 Odi69.82. 55. 90 and 112
3 6 8. 9 10 A minority representation group accuses a major bank of racial discrimination in its recent hires for financial analysts. Exactly 12% of all applications were from minority members, and exactly 10% of the 1650 open positions were filled by members of the minority. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of p, where p is the proportion of minority member applications in a random sample of 1650 that is drawn from all applications. (b) Find the standard deviation of p. which is the probability that there will be 10% or fewer minority (c) Compute an approximation for P(p < 0.1), member applications in a random sample of 1650 drawn from all applications. Round your answer to four decimal places.
1. Consider the golf ball example again using a completely randomized deign with a single factor (see section 10.2). However, this time we only hit each golf ball 5 times instead of 10 times. The golf balls are brands A, B, C, D. So, there are 4 brands, (4 treatments), and 20 sample distances. That is, k= 4 and n = 20. The data below gives the average distance means and standard deviations for the sample distances. Brand Sample Mean Sample Standard Deviations A 253.8 9.7570 263.2 5.4037 C 271.0 8.7178 262.0 7.4498 The average mean distance for all the 4 samples is 262.5 (this is x-bar). SST = 743.4 and SSE = 1023.6 Test the hypothesis that all the means are equal (this is the null hypothesis) against the alternative hypothesis that at least two means are different by doing the following: a. Calculate MST b. Calculate MSE С. Calculate F d. Using the table for F, find the rejection region e. Using alpha = 0.05, state whether you reject the null hypothesis or not.
The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 13 11 15 13.75 13.5 16 8.5 12.75 11 13.5 13.5 15.25 15 13.25 16.25 12.5 14.75 15.5 14.75 13.75 15 13.75 13 15 Use your statistical software package to conduct a one-factor ANOVA to determine if the group means are equal using α=0.01. Though not specifically assessed here, you are encouraged to also test the assumptions, plot the group means, and interpret the results.Group means (report to 2 decimal places):Group 1: Internship: Group 2: Co-op: Group 3: Work Study: ANOVA summary statistics:F-ratio = _______ (report accurate to 3 decimal places)p=_________ (report accurate to 4 decimal places)
6-
The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 10.75 12.5 8.5 9.75 10.25 12.5 11.5 13 15.25 10.75 14.25 14.5 11.25 10.5 14 10.5 11 15 13.75 12.75 11.75 11.5 12.5 15.75 11.75 12.75 12 13.25 13.75 14 12.75 14.25 12.25 Conduct a one-factor ANOVA to determine if the group means are equal using α=0.01α=0.01. Group means:Group 1 mean: Group 2 mean: Group 3 mean: ANOVA summary statistics:F-test statistic = p=p= Conclusion: The sample data suggests there is a correlation in the starting hourly wages. There is not sufficient data to conclude that at least one group's average starting hourly wage is different. The sample data suggests the starting hourly wages are dependent There is not…
7
(6) At the top of the next page is a Bayes Net graph and four tables which characterize how four random variables interact to describe a single basketball shot: • D (defended): whether the player taking the shot was defended (D₁) or not (Do) while taking the shot. ● R (range): whether the player took a 2-point shot (R₂) or a 3-point shot (R3). ● M (made): whether the shot was made (M₁) or not (Mo). ● P (points): the points earned as a result of the shot, either 0 (Po), 2 (P₂), or 3 (P3).
4.2.23 Question Help Use the following results from a test for marijuana use, which is provided by a certain drug testing company. Among 142 subjects with positive test results, there are 22 false positive results; among 159 negative results, there are 2 false negative results. If one of the test subjects is randomly selected, find the probability that the subject tested negative or did not use marijuana. (Hint: Construct a table.) The probability that a randomly selected subject tested negative or did not use marijuana is . (Do not round until the final answer. Then round to three decimal places as needed.) 560 ject

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