The Dean of the College of Medicine of University X wanted to determine the demographic profile of their pre- medical students in terms of age, IQ, Grade Point Average, Socio-Economic status, and parent’s educational attainment and how these influence the pursuance to Medicine Proper program. Fifty percent of the total population of the graduating class was randomly selected as respondents. - identify independent variables and dependent variables - What data/information will you get to measure the IV ? - What data/information will you get to measure the DV?

The Dean of the College of Medicine of University X wanted to determine the demographic profile of their pre- medical students in terms of age, IQ, Grade Point Average, Socio-Economic status, and parent’s educational attainment and how these influence the pursuance to Medicine Proper program. Fifty percent of the total population of the graduating class was randomly selected as respondents. - identify independent variables and dependent variables - What data/information will you get to measure the IV ? - What data/information will you get to measure the DV?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 30PPS

See similar textbooks

Similar questions

A recent study randomly selected women from various countries around the world and collected information about diet and health. The women who at a Paleo diet had lower rates of Osteoporosis when compared to the other women in the study. A. Which is the explanatory variable and why. B. Which is the response variable and why. C. Write a conclusion appropriate for this type of study that describes the relationship between the explanatory and response variables.
Determine the explanatory variable, response variable and correlation ?
For each scenario, indicate whether the parameter of interest is one proportion , a difference in two proportions , one mean (μ), a difference in means from separate samples , or the mean difference from matched pairs data, . Each answer can be selected once, more than once, or not at all. A tire manufacturer tested the braking performance of one of its tire models on a test track, interested in how tires perform under both wet and dry pavement conditions. The company tried the tires on 18 different car models, recording the stopping distance for half of them on wet pavement and the other half of dry pavement. Student Computing Services surveys a random sample of students to compare the percent of students that have PCs to the percent of students that have Macs. Married couples are asked about the number of hours of sleep they get each night. We want to see if husbands get more sleep than their wives. 36 of 75 patients receiving a treatment experienced pain relief, while only…
what are the variables and what is the relationship between variables in the sample and the population?
Camille for her part wants to assess the impact of an awareness campaign aimed at reducing the amount of household food waste. The campaign is taking place in a subset of neighborhoods of Ville de Montréal. Camille’s objective is to compare the average amount of food waste produced in those neighborhoods, with that in neighborhoods not targeted by the campaign. Therefore, she randomly chooses five neighborhoods targeted by the campaign and five neighborhoods where the campaign does not take place. In each of the 10 neighborhoods, she monitors the weekly amount of food waste (kg) for each of a number of households, and calculates amounts on a per household basis; see below. Is the amount of food waste per household in the neighborhoods targeted by the campaign lower, on average, than in those not targeted by the campaign? Use α= 0.05.
What are the first quartile , the median and the third quartile of the scientist's data?
A community college professor is interested in determining the relationship between the number of posts students make on Schoology and their respective grades. He planned to correlate the results from a sample from all his classes, however, due to time constraints, he decided to sample only from students with high grades. As his statistical consultant, state whether or not you support his plans and why.
During the second semester of SY 2019 – 2020, students in Mathematics in the Modern World were asked to rate their extent of preparation and level of difficulty. Five classes were considered for this study. Suppose 15 students from each class were randomly selected, (4) is there a significant relationship between their level of difficulty and prelim scores? (5) is there a significant relationship between their level of difficulty and midterm scores? (6) is there a significant relationship between the extent of preparation and level of difficulty in their prelim scores?
A psychologist would like to examine the effects of different testing methods on the final performance of college students. One group gets regular quizzes, one group gets three large exams, and the third group only gets a final exam. At the end of the course, the psychologist interviews each student to get a measure of the student’s overall knowledge of the material. Quizzes Exams Final Only 4 1 0 6 4 2 3 5 0 7 2 2 We want to know if these data indicate any significant differences among the three methods? Test with α = .05. For this problem we need to use [ Select ] ["single sample t-test", "independent sample t-test", "correlated sample t-test", "ANOVA"] . For the Quizzes sample the T is [ Select ] ["4", "12", "20", "36"] , for the Exams sample T is [ Select ] ["4", "12", "20", "36"]…
A psychologist would like to examine the effects of different testing methods on the final performance of college students. One group gets regular quizzes, one group gets three large exams, and the third group only gets a final exam. At the end of the course, the psychologist interviews each student to get a measure of the student’s overall knowledge of the material. Quizzes Exams Final Only 4 1 0 6 4 2 3 5 0 7 2 2 We want to know if these data indicate any significant differences among the three methods? Test with ?α = .05. For this problem we need to use ["", "", "", ""] . For the Quizzes sample the T is ["", "", "", ""] , for the Exams sample T is ["", "", "", ""] , and for the Final Only sample T is ["", "", "", ""] . The SS for the Quizzes sample is ["", "", "", ""] , for the Exams…
Explain about the DATA. About the IVF. About the multicollinearity. Please ASAP
During the second semester of SY 2019 – 2020, students in Mathematics in the Modern World were asked to rate their extent of preparation and level of difficulty. Five classes were considered for this study. Suppose 15 students from each class were randomly selected, (1) is there a significant relationship between their prelim and midterm scores? (2) is there a significant relationship between their extent of preparation and prelim scores? (3) is there a significant relationship between their extent of preparation and midterm scores?