Three samples are taken comprising 120 doctors, 150 advocates and 130 * university teachers. Each person chosen is asked to select one of the three categories that best represents his teeling toward a certain national policy. The three categories are in favour of policy (F), against the policy (A), and indifferent toward the policy (). The results of the interviews are given below : Reaction Occupation F A Total Doctors 80 30 10 120 Advocates 70 40 40 150 University Teachers 50 50 30 130 Total 200 120 80 400 On the basis of this data can it be concluded that the views of Doctors, Advocates. and University teachers are homogeneous in so far as National Policy under discussion is concerned.
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- What is a sample space?The sample of individual students' test scores was drawn from the total number of students taking the course the 'Theory and Practice of Peace and Conflict' (3credit hour per week) in the academic year 2014 second semester. Their test scores were recorded and shown in the following table. Student 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Marks 23.0 12.0 15.0 15.0 24.0 26.5 17.0 27.0 34.5 24.5 21.5 9.50 16.5 30.0 27.0 Student 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Marks 9.50 15.5 12.5 25.0 10.0 39.0 30.0 35.5 36.0 32.5 38.5 37.0 35.5 29.5 37.0 a) Use any statistical software to generate the descriptive statistics for the above data. The statistics generated should include the values of sample mean, sample standard deviation, and sample size. b) Construct the 95% confidence interval for the population mean and interpret the interval. Based on the interval, explain the result. c) Construct the 95% confidence interval for the population standard deviation and interpret the interval. Based…Nine patients are subjected to three different drugs (A, B, C). Two blocks, each with three levels, are used: age (1: below 25, 2: 25 to 35, 3: above 35) and health (1: poor, 2: fair, 3: good). Complete the ANOVA table. Provide a suitable decision and conclusion.
- The country's top 5 medical schools are UPM, UST, WVSU, CIM and UERM. The NMAT percentile scores requirements are as follows: 90 (UPM), 80 (UST), 60 (WVSU), 40 (CIM) and 70 (UERM). Suppose among 800 NMAT examinees, you are ranked 200 (where ranked 1 is the highest among the takers). Which of the schools can you be qualified? A. CIM, WVSU and UERM only. B. CIM, WVSU, UERM and UST only. C. All of the schools mentioned above. D. None of the schools mentioned above.The administrators of a Faculty A were interested to understand personal characteristics of their students. They decided to conduct a survey and managed to get randomly 1625 students to respond to the survey. The same survey has been conducted for 3 years in a row and a summary report on students’ characteristics was produced. The first part of the survey was asking demographics questions on the students. The data in Table 1 show eight variables, each describing a different characteristic of the students taking the survey. For the data in the table, the description of the data is as follows: ID : An identifier for each of the individuals in the study. Gender : M for male and F for female Mathematics : To measure how much the student likes Mathematics courses (Really Don’t Like it, Not too much, I like it, Absolutely love it) Exercise : Number of times spent exercising per week Games : Number of hours spent playing online games per week GPA…A public health researcher is interested in some factors that influence heart disease. In a survey of 68 randomly selected localities, he gathered data on the percentage of people in each locality who bike to work “Biking”, the percentage of people in each locality who smoke “Smoking”, and the percentage of people in each locality who have heart disease “Heart.Disease”. The researcher wants to find which explanatory variable will be a better predictor of the response variable, “Heart.Disease”. Investigate the relationship between the explanatory variables and response variable to help the researcher find the better predictor. The dataset is called “Heart Disease.” Simple linear regression results: Dependent Variable: Heart. DiseaseIndependent Variable: BikingHeart. Disease = 18.115809 - 0.20845321 BikingSample size: 68R (correlation coefficient) = -0.94616452R-sq = 0.8952273Estimate of error standard deviation: 1.5273175 1) Which of the two explanatory variables would be the better…
- A public health researcher is interested in some factors that influence heart disease. In a survey of 68 randomly selected localities, he gathered data on the percentage of people in each locality who bike to work “Biking”, the percentage of people in each locality who smoke “Smoking”, and the percentage of people in each locality who have heart disease “Heart.Disease”. The researcher wants to find which explanatory variable will be a better predictor of the response variable, “Heart.Disease”. Investigate the relationship between the explanatory variables and response variable to help the researcher find the better predictor. 1) Interpret the scatterplot of “Biking” and “Heart.Disease” using trend, strength, and shape (form) in one complete sentence. 2) Interpret the scatterplot of “Smoking” and “Heart.Disease” using trend, strength, and shape (form) in one complete sentenceIn the statistic department, there are 60 graduate students in total, 45 PhD students and 15 master students. Among master students, 40% of them are international students. Among PhD students, 20% are international students. a) What is the proportion of international students in the statistic department? (b) What is the proportion of master students among all domestic students.A study of all 2093 employees of a company shows that 54% are satisfied with the company's health care policy. Is the underlined value a parameter or a statistic and why? O Statistic because the value was calculated from a sample. O Parameter because the sample size is known. O Statistic because the value was calculated from a population. O Parameter because the value was calculated from all students.
- In 2013 students from a Statistics class at FSEV UK were asked to survey their friends who were 15-30 years old, in order to explore the interests of young people. The survey has a variety of questions, which are detailed in the Survey Key. For example, the column header “Music” is short for the question “I enjoy listening to music” and is rated 1-5, where 1 represents strongly disagree and 5 represents strongly agree. There is also some categorical data present as well. Survey participants record their gender, how often they smoke/drink, their internet usage, and education (just to name a few!). Please perform a hypothesis test based on one of the categorical variables and one survey question. For example, you could choose to prove the following: Survey participants who identify as an “only child” enjoy meeting new people (Survey score ). Here is an example: people who are right-handed (as identified in the data set) enjoy listening to music. Please be sure to use two columns…There are a total of 27,985 students that attend Liberty University Online. Out of those students, there are a total of 4,865 students who are enrolled in the Online Education Department at Liberty University. The education department wanted to examine the typical age of students enrolled in Education and found that it was 45 years old compared to the general population at Liberty University which was 31 years old. What is the population mean in this example?A manufacturer of household appliances wanted to determine if there was a relationship between family size and the size of washing machine purchased. The manufacturer was preparing guidelines for sales personnel and wanted to know if the sales staff should make specific recommendations to customers. A random sample of 300 families was asked about family size and size of washing machine. For the 40 families with one or two people, 25 had an 8-pound washer, 10 had a 10-pound washer, and 5 had a 12-pound washer. The 140 families with three or four people included 37 with the 8-pound washer, 62 with the 10-pound washer, and 41 with the 12-pound washer. For the remaining 120 families with five or more people, 8 had an 8-pound washer, 53 had a 10-pound washer, and 59 had a 12-pound washer. Based on these results, what can be concluded about family size and size of washer? Construct a two-way table, state the hypothesis, compute the statistics, and state your conclusion.