ReviewQuestion 8If the correlation between number of children in a family and annualincome was close to -1, we could conclude that:a) O high incomes cause people to have more children.b) O high incomes cause sterility.c) O low incomes cause people to have more children.d) O high-income families tend to have more children.e) O low-income families tend to have more children.Review

Correlation coefficient quantifies the strength and direction of relationship between variable. The…

Answered: If the correlation between number of…

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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3. A psychology professor wants to know if stress in his statistics class is in anyway affected by a student's major and gender. Test to see if a student's gender and major affects their stress level in the statistics course. Psychology Other 17 11 -1 12 9 12 17 9 Male 10 10 13 13 13 4 14 6 EX² = 1294 EX² 811 25 19 15 14 11 20 20 12 Female 3 20 12 15 18 10 20 25 EX² = 2248 ΣΧ' = 2451 Solve for the appropriate test statistic(s).
is there is a main effect of disposition, would Tuckey's HSD need to be calculated
49. With a view to study whether the working condition in a factory had any influénce on the frequency of accidents, a researcher collected and tabulated the accident data as follows: No. of Accidents Working Condition Total Less More Good 280 80 360 Bad 120 120 240 Total 400 200 600 Using Yule's methodology, calculate the coefficient of association between the number of accidents and the working condition in the factory. What inference would you draw from the result ? infees
3. Travelers who have no intention of showing up often fail to cancel their hotel reservations in a timely manner. These travelers are known, in the parlance of the hospitality trade, as "no-shows". To protect against no-shows and late cancellations, hotels invariably overbook rooms. A recent study examined the problems of over-booking rooms in the hotel industry. The following data, extracted from the study represent the daily numbers of late cancellations and no-shows for a random sample of 10 days at a hotel: 18, 16, 16, 16, 14, 18, 16, 18, 14, 19. e) Suppose the relative frequency distribution for the data is bell-shaped, then what percentage of observations are more than 18.2? (Hint: use Empirical rule) 2.5% 32% 16% 5%
6. The boxplot below shows the age at which a group of people got their driving licenses LEC 20 25 Age 1 a) The middle 50% of responders were within how many years of one another? b) In which quartile are the ages least spread out? c) The bottom 50% of responders were within how many years of one another?
3. Researchers Regine Dilla and associates wanted to determine whether consumption of cola is associated with lower bone mineral density. They looked at 1125 men and 1413 women in the Framingham Osteoporosis Study, which is a cohort that began in 1971. The first examination in this study began between 1971 and 1975, with participants returning for an examination every 4 years. Based on results of questionnaires, the researchers were able to determine cola consumption on a weekly basis. Analysis of the results indicated that women who consumed at least one cola per day (on average) had a bone mineral density that was significantly lower at the femoral neck than those who consumed less than one cola per day. The researchers did not find this relation in men. (a)Why is this a cohort study? (b)What is the response variable in this study? What is the explanatory variable? (c)Is the response variable qualitative or quantitative?
1. The percentage of 12- to 17-year-olds who reported talking at least once in the past year with their parents about the dangers of drug, tobacco, or alcohol is 60% nationally. A state youth council believes this proportion is higher in their state, where there has been an intense media campaign about this issue. A survey of randomly chosen students from across the state shows 1032 of 1642 students reporting they are having these conversations with their parents. Is there evidence that the percent of students using drugs, tobacco or alcohol in this state is above the national rate?
1. A psychologist is interested in investigating the proportion of depressed teenagers in a particular city. Using a sample of 40 teenagers, 16 were found to exhibit symptoms of depression. At a = 0.01, test the claim that more than 35% of teenagers who live in the city are depressed. 2. A researcher wishes to determine the proportion of college students who smoke marijuana. He determined that from a sample of 120 college students, 24 tested positive of marijuana. Is it valid to infer that 20% of college students smoke marijuana? Use a = 0.05. 3. A telecommunications analyst believes that more than 34% of Filipinos subscribed to any of the available postpaid plans. A random sample of 55 was chosen and the gathered data showed that 22 are postpaid subscribers. At 0.10 significance level, is there sufficient evidence to conclude that more than 34% of Filipinos are postpaid subscribers?
4. Failure to meet payments on student loans guaranteed by the United States (U.S.) government has been a major problem for both banks and the government. Approximately 50% of all student loans guaranteed by the government are in default. A random sample of 350 loans to college students in one region of the U.S. indicates that 147 loans are in default. a) Do the data indicate that the proportion of student loans in default in this area of the country differs from the proportion of all student loans in the U.S. that are in default? Use α = 0.01. (iii) The p-value for the above problem is
3. A sociologist studying freshmen at a major university carried out a survey, asking (among other questions) how often students went out per week, how many hours they studied per day, and how many hours they slept at night. Students will often overstate the number of hours studied, because they do not want to admit to not studying enough. This type of distortion is called: a. false answer. b. non-response bias. c. undercoverage bias. d. response bias.
1.Are the individuals and their environment controlled in an observational study? A.Yes B,No C.Partially D.Cannot say
3. Travelers who have no intention of showing up often fail to cancel their hotel reservations in a timely manner. These travelers are known, in the parlance of the hospitality trade, as "no-shows". To protect against no-shows and late cancellations, hotels invariably overbook rooms. A recent study examined the problems of over-booking rooms in the hotel industry. The following data, extracted from the study represent the daily numbers of late cancellations and no-shows for a random sample of 10 days at a hotel: 18, 16, 16, 16, 14, 18, 16, 18, 14, 19. c) Count the number of measurements that actually fall within the interval(-28, +2s) and express the interval count as a percentage of total number of measurements. at least 75% 100% 68% 95%

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