EDFN 1090/1092Assignment #51. Would you expect a positive, negative, or zero correlative between each ofthe following pairs of variables?a. Heights of mothers and daughtersb. Age and reaction time in the adult populationc. Natural gas usage and prevailing (outside) temperatured. Reading skill and shoe size in the population of individuals over 182. A researcher hypothesized that there is a relationship between self-esteem andsocial responsibility, which increases with age. The researcher gave self-esteemand social responsibility inventories to two sets of people: a group of 10 highschool students and 10 adults. The data collected are given below (SE = self-esteem; SR = social responsibility).High School StudentsSE.101213PASH68091151410SR21201618112128191719101320HARDHSCDHSHSE13151214861211914AdultsHENNARSDDKSG23242120181219181520years olda. Calculate the correlation for adults given the values below.(Let X = SE, Y = SR)Σ ΧΥ = 2248; Σ Χ2 = 1376; Σ Υ = 3724; Σ Χ = 114; Σ Υ = 190

Data is given for x values and y values We have to calculate correlation coefficient for data of…

Answered: 1. Would you expect a positive,…

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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.. A certain drug is claimed to be effective in curing cold. In an experiment on were given the 500 persons with cold, half of them were given the drug and half of them sugar pills. The patients' reactions to the treatment are recorded in the following table: Helped Harmed No effect Total 30 70 250 Drug Sugar pills 150 130 40 80 250 Total 280 70 150 500 On the basis of the data can it be concluded that there is a significant difference in the effect of the drug and sugar pills ?
Which one of the following conclusions could be drawn from a descriptive study? Question options: a. Concrete experiences help students understand abstract ideas better. b.Students are more likely to appreciate classical music if they are exposed to it on a regular basis. c. Students do better in school when they have warm, supportive relationships with their teachers. d. Approximately 80% of the students at Southside High School are planning to go to college.
a. Is there a main effect of Drug Dose? Explain. b. Is there a main effect of Sex? Explain. c. Is there an interaction between Sex and Drug Dose? Explain.
I need help with 7, 8 and 9
For each of the following epidemiological scenarios, draw a DAG that represents the relationships between the variables: A researcher is studying the association between experiencing childhood abuse (A) and the occurrence of depression (D) as an adult. She has reason to believe that alcohol consumption (C) may mediate the relationship between (A) and (D).
Rewrite the following sentence to remove its primary problem "We hypothesize that grade level has an effect on academic success."
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4. time to try out multiple predictor variables. take a look at the data shown here, where the outcome is becoming a great chef. we suspect that variables such as number of years of experience cooking, level of formal culinary education, and number of different positions (sous chef, pasta station, etc.) all contribute to rankings or scores on the great chef test. a. which are the best predictors of a chef’s score? b. what score can you expect from a person with 12 years of experience and a level 2 education who has held five positions?
12.2 ONLY!
Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…
A researcher selected an all-girls high school to study math achievement by comparing text lessons vs. visual lessons (the independent variable) and used final exam scores as the dependent variable. He arranged for text lessons in the Fall and visual lessons in the Spring. What is confounded with what? a. type of lesson with season of year b. Girls with exam scores and season of year c. type of lesson with exam scores d. season of year with exam scores

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