QUESTION 41. l we obtain a high statistically significant negative correlation between women's starting salary and the starting salaries of men canwe conclude that discrimination by gender is a cause?2. If you find a Chi-Square statistically significant association between two variables, can you assume that they might have a causativerelationship?Cor the toolALTID I0/D0 or At T

Answered: Image /qna-images/answer/9844e4cb-68be-4ffa-a1df-6728681b5e5e.jpg

Answered: If we obtain a high statistically…

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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If a predictor variable is well correlated with the other predictors, then standard errorof its estimated coefficient must be bigger than a value obtained in the absence ofsuch correlation. (true or false)?
Left ventricular mass (LVM) is an important risk factor for subsequent cardiovascular disease. A study is proposed to assess the relationship between childhood blood-pressure levels and LVM in children as determined from echocardiograms. The goal is to stratify children into a normal bp group (< 90th percentile for their age, gender, and height) and an elevated bp group (≥ 90th percentile for their age, gender, and height) and compare change in LVM between the two groups. Before this can be done, one needs to demonstrate that LVM actually changes in children over a 4-year period. To help plan the main study, a pilot study is conducted where echocardiograms are obtained from 10 random children from the Bogalusa Heart Study at baseline and after 4 years of follow-up. The data are given in Table 1 . Table 1 Pilot data on left ventricular mass (LVM) in children from the Bogalusa Heart Study ID Baseline LVM (g) 4- year LVM (g) Change (g)* 1 139 163 24 2 134 126 -8 3 86 142 56…
Prof. Watson wants to predict children’s aggressive scores based on the participants’ gender and their self-esteem scores. Based on literature and theory, he has reason to believe that gender would be a greater predictor than self-esteem scores. What type of analysis should Prof. Watson do? Why?
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What is the most accurate interpretation of a significant correlation of rs = -.55 between annual CO2 emissions and annual average temperature (ranked from hottest year to coldest year)? Increased CO2 emissions are associated with lower annual average temperature Increased CO2 emissions are associated with higher annual average temperature Increased CO2 emissions lead to higher annual average temperature Increased CO2 emissions lead to lower annual average temperature If we conducted a study with a small group of randomly selected first- year psychology students and found a Pearson’s r of -.39 between distance from home to university (measured in km) and class attendance, what could we say about the relationship in the population? University students who live far from their homes are less likely to attend class There is no relationship between distance between home and university with class attendance University students who live far from their homes are more likely to attend…
Here is the scenario for your Between Subjects Independent One Way ANOVA: Dr. Xena is interested in determine which type of therapy best helps persons with bipolar depression. She gathers a random and representative sample of men and women ages 18-95 years of age who have a diagnosis of Bipolar Depression who are taking Lithium for at least 6 months. She randomly assigns participants to conditions and measures well being scores after 4 months of therapy. Well being scores range from 0-100, with 100 being high well-being (feel good and experiencing no mood swings). Here is the data: Cognitive Therapy EMDR Therapy Psychoanalytical Therapy 15 72 28 78 91…
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What source of variation is found in an ANOVA summary table for a within subjects design that is not in an ANOVA summary table for a between subjects design. What happens to this source of variation in a between-subjects design?
Do test scores at pre-treatment differ from test scores at post-treatment? Note, this analysis should be conducted ignoring the treatment group they are in. Do male and female subjects differ on their pre-test score performance? Knowing the number of hours the student studied for the exam, can you predict their post-test scores? Is there a significant relationship between subject’s IQ and pre-test scores? Do the three treatments differ significantly from one another at pre-test? Do student IQ scores differ significantly from the population (μ = 100 & σ = 15)? Create your own research question based on the data. (All analyses are to be tested at α =.05, two tailed)

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