8 The table below shows only the marginal totals for the dolphin study inProblem 1. Use your formula from Problem 7 to complete a copy of the tablewith values that would make the two variables of age and sex independent.(The values will not be whole numbers.)YoungMaleFemaleTotal9Adult13Total15722

The table shows the totals of the rows and columns.

Answered: The table below shows only the marginal…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Question 3 A statistics instructor at a large western university would like to examine the relationship (if any) between the number of optional homework problems students do during the semester and their final course grade. She randomly selects 12 students for study and asks them to keep track of the number of these problems completed during the course of the semester. At the end of the class each student's total marks is recorded along with their final grade. The data follow in Table 2. Table 2 Problem Course Grade 62 51 58 62 68 66 65 68 76 77 66 67 72 73 72 78 73 76 78 78 84 85 91 75 Use the regression equation to preaict a student's final course grade if 75 optional homework assignments are done. ix. Use the regression equation to compute the number of optional homework assignments that need to be completed if a student expects an 85. vii.
Question #9 A-D
Week 10 q2 Personal wealth tends to increase with age as older individuals have had more opportunities to earn and invest than younger individuals. The following data were obtained from a random sample of eight individuals and records their total wealth (Y) and their current age (X). Person Total wealth (‘000s of dollars) Y Age (Years) X A 280 36 B 450 72 C 250 48 D 320 51 E 470 80 F 250 40 G 330 55 H 430 72 A part of the output of a regression analysis of Y against X using Excel is given below: SUMMARY OUTPUT Regression Statistics Multiple R 0.954704 R Square 0.91146 Adjusted R Square 0.896703 Standard Error 28.98954 Observations 8 ANOVA df SS MS F Significance F Regression 1 51907.64 51907.64…
Problem 1 The following data recaps the number of portions of each menu item sold on Friday evening for the past five weeks: Week 1 Week 2 Week 3 Week 4 Week 5 Last Friday Chicken 71 60 55 59 90 Pork Chops 60 43 57 61 81 Prime Rib 90 71 51 59 107 Lobster 82 63 75 80 91 Veal Cutlet 79 40 68 79 90 382 277 306 338 459 a. What is the percentage of total items sold for each menu item averaged over the past five Fridays? b. The manager notes that sales on the second Friday were lower than normal because of a weather problem. Sales on the last Friday were higher than normal because of an in-town sporting event. He believes the number of menu items to be sold this Friday will be about "average"; that is, they will exclude the one lower- than-normal Friday and one higher-than-normal Friday. 1. What is the total number of entrées expected to be served this Friday?

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