3.34 Among 150 persons interviewed as part of an urbanmass transportation study, some live more than 3 milesfrom the center of the city (A), some now regularlydrive their own car to work (B), and some would gladlyswitch to public mass transportation if it were available(C). Use the information given in Figure 3.11 to find(а) N(A);(b) N(B);(c) N(C);(d) N(AN B);21620AВ548.9.14CFigure 3.11 Diagram for Exercise 3.3427 (e) N(AN C);(f) N(ANBNC);(g) N(AUB);(h) N(BUC);(i) N(ĀUBUC);(j) N[BN (AUC)].

Answered: Among 150 persons interviewed as part…

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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Describe the three ways identified in the text to find or develop a new research idea from existing research report(s).
The Widington College program is considering buying a Scanner machine among 5 (five) types, namely the SC1, SC2, SC3, SC4 and SC5 types, where each type has different efficiency in terms of the speed of the number of pages (sheets) scanned in one minute. Six staff members conducted an experiment to run each type of scanner. The following data shows the number of scanned pages (sheets) that can be produced in one minute according to the type of copier, 1 trial, and according to the staff assigned to run each type of scanner: SC 1 SC 2 SC 3 SC 4 SC 5 Staff 1 60 50 63 60 64 Staff 2 56 55 65 58 60 Staff 3 54 56 65 56 58 Staff 4 56 57 67 65 60 Staff 5 54 56 65 60 60 Staff 6 55 52 58 60 55 Some of the results of the calculation of the sum of squares (sum-square) and the average squared (mean square) required for the ANOVA test are provided in the following table: Source of Variation SS Df MS F stat F Table Scanner Machine 333.3 ..... ..... ..... ..... Staff .....…
[6] – Statistics Scenario #1A dog enthusiast wanted to see if there was a difference in pit-bull ownership between people in Arcata and Eureka. They obtained a list of registered dog owners from the city of Eureka and the city of Arcata, then they randomly selected people from each list until they had 150 responses from Arcata and 150 responses from eureka. The total number of people from Arcata who reported having a pit-bull was 33. The total number from Eureka was 40 (c) Was the researchers sampling method biased, if so, what kind of bias?(d) Is the data qualitative, quantitative continuous, or quantitative discrete? e) What statistical test should be performed to test the hypothesis?
4. In 1983, the Department of Dairy Science at the Virginia Polytechnic Institute and State University conducted an experiment to study the effect of feed rations, differing by source of protein, on the average daily milk production of cows. There were 5 rations used in the experiment. A 5x5 Latin square was used in which the rows represented different cows and the columns were different lactation periods. The following data, recorded in kilograms, were analyzed by the Statistical Consulting Center at Virginia Tech. At the 0.01 level of significance, can we conclude that rations with different sources of protein have an effect on the average daily milk production of cows? Lactation Cows Period 1 3 4 A В C D E 1 33.1 34.4 26.4 34.6 33.9 D E A В 2 30.7 28.7 24.9 28.8 28.0 D E А В 3 28.7 28.8 20.0 31.9 22.7 E A В C D 4 31.4 22.3 18.7 31.0 21.3 B C D E A Actie Windoys Go to PC settings to activate W 28.9 22.3 15.8
In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 475 eggs in group I boxes, of which a field count showed about 274 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 796 eggs in group II boxes, of which a field count showed about 274 hatched. (a) Find a point estimate p1 for P1, the proportion of eggs that hatch in group I nest box placements. Find a 99% confidence interval for p1. (Use 3 decimal places.) P1 lower limit upper limit (b) Find a point estimate p2 for p2, the proportion of eggs that hatch in group II nest box placements. Find a 99% confidence interval for p2. (Use 3 decimal places.) lower limit upper limit (c) Find a 99% confidence interval for p1 – P2. (Use 3 decimal places.) lower limit upper limit Does…
Whiat would be a easy suitable research design for this topic. Topic: The impact of unemployment on mental health in Anguilla.
Government funding: The following table presents the budget (in millions of dollars) for selected organizations that received U.S. government funding for arts and culture in both 2004 and 2006. Use a TI-84 calculator to answer the following. Organization 2004 2006 Smithsonian Institution 489 517 Corporation for Public Broadcasting 377 460 Institute of Museum and Library Services 262 247 Commission of Fine Arts 8 2 Advisory Council on Historic Preservation 4 5 Source: National Endowment for the Arts If two institutions have budgets that differ by 15 million dollars in 2004, by how much would you predict their budgets to differ in 2006? Round the answer to three decimal places.
Practice question #1. Researchers at the University of Utah carried out a study to see if the size of the fork used to eat dinner influences how much food is consumed. The researchers assigned people to one of two groups. One group ate dinner using a small fork, and the other group ate using a large fork. The researchers found that thatthose who ate with a large fork ate less food on their plate than those who ate with a small fork. An articledescribing this study was called “Dieters Should Use a Big Fork”, implying cause-and-affect andgeneralizing this finding to the population of dieters. A. Under what circumstances would it be reasonable to conclude a cause-and-effect relationship between fork size and amount eaten? B. Under what circumstances would it be reasonable to generalize this finding to the population of dieters? Why is it often NOT appropriate to generalize the results of experiments to a wider population?
The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)
Large companies typically collect volumes of data before designing a product, not only to gain information as to whether the product should be released, but also to pinpoint which markets would be the best targets for the product. Several months ago, I was interviewed by such a company while shopping at a mall. I was asked about my exercise habits and whether or not I'd be interested in buying a video/DVD designed to teach stretching exercises. I fall into the male, 18 - 35-years-old category, and I guessed that, like me, many males in that category would not be interested in a stretching video. My friend Holly falls in the female, older-than-35 category, and I was thinking that she might like the stretching video. After being interviewed, I looked at the interviewer's results. Of the 94 people in my market category who had been interviewed, 14 said they would buy the product, and of the 108 people in Holly's market category, 34 said they would buy it. Assuming that these data came…
Which of the following academic fields, in developing mathematical models based on the concept of the “average man,” stoked eugenics crusades in the nineteenth and early-twentieth century? Statistics Economics American Studies English literary studies
In a study carried out among low-income families in the young towns of Detroit, it was found that 30% spent less than $8 weekly on purchasing charcoal and consumed products from soup kitchens. 35% spent $8 to $15 weekly on the purchase of charcoal. 5% spent more than $15 weekly on the purchase of charcoal and consumed products from the soup kitchen. 15% spent more than $15 each week buying coal. Finally, 55% did not consume the products of the soup kitchens.If you randomly choose a low-income familyto. What is the probability that you spend less than $8 weekly on purchasing coal?b. What is the probability that you do not consume the products of the soup kitchens and spend 8 to 15 dollars buying charcoal?C. If the family spends more than $15 weekly on purchasing charcoal, what is the probability that they will not consume the products from the soup kitchens?d. If the family does not consume products from soup kitchens, what is the probability that it will spend less than 8 soles per…

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