A study was conducted to examine if children with autism spectrum disorder (ASD) had higher prenatal exposure to air pollution, specifically particulate matter < 2.5 g in diameter (PM2.5). Researchers obtained birth records of all children born in Los Angeles between 2000 and 2008 and linked these to the Department of Developmental Services records to determine if any of those subjects had been diagnosed with ASD or not. They used the birth addresses given in the birth records to determine the average daily PM2.5 for the third trimester for each child. The standard deviation for PM2.5 among ASD subjects was found to be 34.6 and for non-ASD subjects was 16.8. Assume PM2.5 is normally distributed. 4a. What was the study design? * Randomized Clinical Trial (RCT) * Case Report * Nested Case-Control Study * Case-Control Study * cross-sectional study
Cohort Study 4B. What are the null and alternative hypotheses? 4c. What type of statistical test would you use to analyze the data? * Pearson's chi-square * Correlation analysis * Cronbach's alpha * Kruskall-Wallis * Paired t-test * Fisher's exact test * One-way ANOVA * RC chi-square * Simple linear regression analysis * One-sample t-test * Friedman-Kendall-Smith * Карра * Repeated measures/Randomized block ANOVA * Two-sample independent t-test (unequal variances) * Mantel-Haenszel chi-square * Two-sample independent t-test (equal variance)
McNemar's chi-squared
A study was conducted to examine if children with autism spectrum disorder (ASD) had higher prenatal exposure to air pollution, specifically particulate matter < 2.5 g in diameter (PM2.5). Researchers obtained birth records of all children born in Los Angeles between 2000 and 2008 and linked these to the Department of Developmental Services records to determine if any of those subjects had been diagnosed with ASD or not. They used the birth addresses given in the birth records to determine the average daily PM2.5 for the third trimester for each child. The standard deviation for PM2.5 among ASD subjects was found to be 34.6 and for non-ASD subjects was 16.8. Assume PM2.5 is normally distributed. 4a. What was the study design? * Randomized Clinical Trial (RCT) * Case Report * Nested Case-Control Study * Case-Control Study * cross-sectional study Cohort Study 4B. What are the null and alternative hypotheses? 4c. What type of statistical test would you use to analyze the data? * Pearson's chi-square * Correlation analysis * Cronbach's alpha * Kruskall-Wallis * Paired t-test * Fisher's exact test * One-way ANOVA * RC chi-square * Simple linear regression analysis * One-sample t-test * Friedman-Kendall-Smith * Карра * Repeated measures/Randomized block ANOVA * Two-sample independent t-test (unequal variances) * Mantel-Haenszel chi-square * Two-sample independent t-test (equal variance) McNemar's chi-squared
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 study was conducted to examine if children with autism spectrum disorder (ASD) had higher prenatal exposure to air pollution, specifically particulate matter < 2.5 g in diameter (PM2.5). Researchers obtained birth records of all children born in Los Angeles between 2000 and 2008 and linked these to the Department of Developmental Services records to determine if any of those subjects had been diagnosed with ASD or not. They used the birth addresses given in the birth records to determine the average daily PM2.5 for the third trimester for each child. The standard deviation for PM2.5 among ASD subjects was found to be 34.6 and for non-ASD subjects was 16.8. Assume PM2.5 is normally distributed.
4a. What was the study design?
* Randomized Clinical Trial (RCT)
* Case Report
* Nested Case-Control Study
* Case-Control Study
* cross-sectional study
Cohort Study
4B. What are the null and alternative hypotheses?
4c. What type of statistical test would you use to analyze the data?
* Pearson's chi-square
* Correlation analysis
* Cronbach's alpha
* Kruskall-Wallis
* Paired t-test
* Fisher's exact test
* One-way ANOVA
* RC chi-square
* Simple linear regression analysis
* One-sample t-test
* Friedman-Kendall-Smith
* Карра
* Repeated measures/Randomized block ANOVA
* Two-sample independent t-test (unequal variances)
* Mantel-Haenszel chi-square
* Two-sample independent t-test (equal variance)
McNemar's chi-squared
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