Suppose that you conducted a study of 150 elementary school students. You wanted to findout if they were homeschooling, hybrid learning, or full-time schooling in Spring 2020 and Fall2020. The following are the results.Spring Full-TimeSpringSpringTotalHomeschool HybridFall301848HomeschoolFall Hybrid1443360Fall Full171642TimeTotal617712150Use the contingency table to answer the following questions. Show all of your work usingfractions. You may use a calculator to calculate the final answer. Round to three decimal places.a. What is the probability that a student was in home school in the Fall?b. What is the probability that a student was in home school in Fall or Spring?c. What is the probability the student was in home school in Fall and Spring?d. What is the probability that a student was in home school in Fall given that they were inhomeschool in Spring?e. What is the probability that a student was in home school in Spring given that they werein homeschool in Fall?

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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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[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?
You are a researcher for a large university, and are interested in investigating student's attendance in classes. You conduct a large survey of students on campus based on the year they are in and the percentage of classes that they attend, as shown in the contingency table below. Year\Attendance % 0-24% 25-49% 50-74% 74-100% 1st Year 2nd Year 3rd Year 4th Year and above Total 258 103 109 205 111 85 563 97 96 501 397 229 108 115 849 338 354 256 205 1153 Total 1096 897 572 501 3066 Using this information, what is the probability of randomly selecting a student that attends class 50-74% of the time, given that it is a student that is fourth year and above? 115/501 115/849 849/3066 115/3066 O 501/3066
StarHortons Cup, the coffee company, wants to determine how long caffeine lasts throughout the day when individuals have a cup of one of their 3 types of coffee at 9am. They will then measure the levels of caffeine in these individuals’ systems at 10am, 12am, 2pm, 4pm, 6pm and 8pm. They want to have at least 20 observations per group. How many separate/distinct groups of participants are needed if they want to conduct this experiment using a mixed-measures ANOVA? 18 6 20 3
Research study comparing alcohol use for college students in the United States and Canada reports that more Canadian students drink but American students drink more. Is this study an example of an experiment? Answer yes or no and why or why not. Write two answers for this question. If one answer is wrong, the entire answer is wrong?
This is a SAS question. You want to randomly assign 48 subjects into two groups (Placebo and Drug). Write a DATA step to do this in such a way as to ensure there are exactly 24 subjects in each group. Can you think of how to do this so that in each group of eight subjects, there are exactly four Placebo and four Drug assignments? (Hint: Create six blocks of eight subjects each.) I know how to do the first part, it is the second part that is hard for me to figure out. Thank you!
A salon owner estimates the number of clients she is expecting during the festive season to be 20% during Monday to Wednesday, 20% on Thursday and 60% over the weekend. She therefore hires additional staff to assist during the weekend to meet the client demand. She however only observes 30% during Monday to Wednesday, 20% on Thursday and 50% over the weekend in the first week of December. The salon owner is uncertain whether she should reduce the planned staff for the December festive period due the observed trend or not. She conducts a statistical test at α = 0.05 to determine if the observed trend fits the expected trend. Which of the following statements is true? A. The conclusion of the test is that she should not keep the additional staff for the weekend. B. The df for this test is 3. C. The p-value is greater than α. D. The null hypothesis is that the observed trend is different to the expected trend. E. The test statistic is χ2 = 5.33.
The following is based on information from The Wolf in the Southwest: The Making of an Endangered Species, by David E. Brown (University of Arizona Press). Before 1918, the proportion of female wolves in the general population of all southwestern wolves was about 50%. However, after 1918, southwestern cattle ranchers began a widespread effort to destroy wolves. In a recent sample of 37 wolves, there were only 11 females. One theory is that male wolves tend to return sooner than females to their old territories, where their predecessors were exterminated. Do these data indicate that the population proportion of female wolves is now less than 50% in the region? Use α = 0.01. (a) What is the level of significance? State the null and alternate hypotheses. O Ho: P 0.5 O Ho: P = 0.5; H₁: p 5 and nq > 5. O The Student's t, since np > 5 and ng > 5. The standard normal, since np < 5 and nq < 5. O The Student's t, since np < 5 and nq < 5. What is the value of the sample test statistic? (Round…
not A 1995 study by the School of Public Health reported that 87% of male students who live in a fraterity house are binge drinkers. The figure for fraternity members who are residents of a fraternity house is 71 %, while the figure for men who do not belong to a fraternity is 44 % Suppose that 11% of U.S. male students live in a fraternity house, 15% belong to a fraterity but do not live in a fraterity house, and 74% do not belong to a fraterity a. What is the probability that a randomly selected malp student is a binge drinker? b. If a randomly selected male student is a binge drinker, what is the probability that he lives in a fraterity house? The probability that a randomly selected male student is a binge drinker is 0.5509 (Type an integer or a decimal rounded to two decimal places as needed) CETTE
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
Psychologists Erik Erikson suggested that individuals go through eight developmental stages of life. Erikson believed that at stage 8 (age 65 to death), an adult's fear of death can be predicted by the satisfaction they feel when reflecting back on their lives. To investigate, a psychiatrist interviewed a random sample of adults age 65 and older, and scored them on their satisfaction with their lives and their fear of death. The psychiatrist wants to confirm Erikson's theory. What can be concluded with a = 0.01? fear of death satisfied 4 3 4 2 2 10 3 2 4 7 3 4 8. 4 a) Select and compute the appropriate statistic. ---Select--- b) Input the appropriate value(s) to make a decision about Ho. p-value X ; Decision: Fail to reject H0 v c) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s). If not appropriate, input and/or select "na" below.. Effect Size = 0.266 ; Magnitude: na d) Make an interpretation based on the results. More life satisfaction…

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