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
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!
Determine whether the study depicts an observational study or an experiment. A scientist was studying the effects of a new fertilizer on crop yield. She randomly assigned half of the plots on a farm to group one and the remaining plots to group two. On the plots in group one, the new fertilizer was used for a year. On the plots in group two, the old fertilizer was used. At the end of the year the average crop yield for the plots in group one was compared with the average crop yield for the plots in group two.
A researcher thinks some social media sites are more prone to narcissistic behavior (excessive posting) than others. To examine the relationship between narcissism and social media, she recruits users of three different social media sites (Facebook, Twitter and Instagram), follows them for 24 hours and records the number of posts made by each user. The number of posts is given in the table below. Twitter Facebook Instagram 10 7 14 10 8. 10 10 10 11 9. www. 12 wwww. 11 13 12 8. 7 8. 11 8 10 12 11 11 a. Perform a complete hypothesis test to determine whether there are any significant differences among the three groups. Test at the .05 level of significance. SHOW ALL YOUR WORK b. Do you need to perform post hocs? Explain but do not compute the post hocs. C. Compute effect size. d. Summarize your findings in a source table. e. Write an interpretation of our results in APA-format (include means and SDs in your interpretation)
This semester, we have talked about creating random samples as well as desirable qualities of random samples. Other than randomness, one quality of random samples that we have talked about is representation. Using your knowledge of that concept, consider this problem. At a college, 29% of the students are in their first year, 27% are in their second year, 25% in their third, and 19% in their fourth. You take a survey of students and when you classify them by year of study, you have 49, 70, 56, and 25 students in their first, second, third, and fourth years respectively. The table below highlights this information. Year of School First Second Third Fourth Total College Percents Sample Counts Expected Counts 27% 70 25% 56 29% 19% 49 25 200 58 54 50 38 Under the assumption that we think the college enrollment percentages should match our sample, and that therefore our sample represents the college: a) What would the critical value be? (use a = 0.05) b) Find the test statistic to test (c)…
You have a small sample of voting information for a recent election. This includes data on which party a person voted for (dem-1 for democrat, =0 for other), gender (male=1 for male, =0 for female), income (in thousands of dollars) and age (in years). You create a table tabulating votes by gender. 1 dem I 01 11 0.045 O.348 545 0.602 -+- O.500 male 0 10 12 Total I 22 In a linear probability model of dem on male, what is the intercept coefficient? (Hint: calculate the relevant probabilities.) 11 Total 81 18 61 18 ------- + 141 36
Practice question #3 Investigators want to know if those who work long hours have more trouble sleeping. In one sample of 190 British civil servants who worked more than 40 hours a week, 95 of them said they usually get less than 7 hours of sleep per night. In a second sample of 150 British civil servants who worked between 35 and 40 hours per week, 63 of them said they usually get less than 7 hours of sleep per night. The investigators believe these are represent samples of the populations. Find a 95% Confidence Interval for the difference in proportions of these two populations that get less than 7 hours of sleep per night. Then interpret the confidence interval. Be sure to check that any necessary conditions are met first. Round final answers to 3 decimal places. Verify conditions are appropriate for method: Interval: ________________________ Does the interval contain zero? __________ What does this information lead you to conclude?
Part 1: The state of Maryland's arrest rate for marijuana possession in 2010 was the fourth highest in the nation. Public records for that year show that police arrested one out of every 250 Maryland residents for possession of marijuana. In addition, while Black people only comprised 30% of the State's population in 2010, 58% of those arrested for marijuana possession were Black. Use the following labels for events describing Maryland residents in the year 2010. M-AMP: Maryland resident was arrested for marijuana possession M-B: Maryland resident was a Black person a) What is the probability that a Maryland resident was arrested for marijuana possession in 2010? b) Use probability notation to express the cited percent values. 30% = P( 58% = P( c) Which of the values cited should be compared to determine whether race and arrests for marijuana possession in the state of Maryland in 2010 are independent?
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…
Mateo believes that completely cutting caffeine out of a person's diet will allow them more restful sleep at night. He randomly selects 8 adults to help him test this theory. Each person is asked to consume two caffeinated beverages per day for 28 days and then cut back to no caffeinated bevarages for an additional 28 days. During each period, the participants record the number of nights of restful sleep that they had. The following table gives the results of the study. Test Mateo's claim at the 0.05 level of significance. Give answers to 4 decimal places as needed. Number of Nights of Restful Sleep in a Four-Week Period 15 With Caffeine 21 20 22 24 18 21 24 20 26 26 22 21 23 27 23 Without Caffeine a) The normal probability plot showed the differences follow a normal distribution and the boxplot showed no outliers. b) Test the claim (1) Determine the null and alternative hypotheses. Enter correct symbol and values Ho: H₁: (2) Type of test: (3) a = (4) Test statistic (to) = p-value =…

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