Module One: Exploring Data
Constructing and interpreting graphical displays of distributions of univariate data: Dotplot, stemplot, histogram, cumulative frequency plot Center and spread Clusters and gaps Outliners and other unusual features Shape Summarizing distributions of univariate..
Constructing and interpreting graphical displays of distributions of univariate data: Dotplot, stemplot, histogram, cumulative frequency plot Center and spread Clusters and gaps Outliners and other unusual features Shape Summarizing distributions of univariate.. Descriptive Univariate Statistics Part 2 is produced for students enrolled in SCED 421L at NEIU
A short tutorial on calculating univariate statistics (mean, standard deviation, quartiles) in the online statistics program StatCrunch.com.
Question : This is embarrassing, but I can't quite remember and I have to give grand rounds Monday. I need to have my statistics down pat.
Answer : Univariate means that you are assuming that the response variable is influenced only by one other factor. Example: SAT scores are influenced by GPA. You may be looking to test the hypothesis that as the GPA rises, the SAT score rises. Here you are assuming that the GPA is the only factor influencing the SAT score. Multivariate means that you are assuming that the response variable is influenced by multiple factors (and even combinations of factors). So for example, you might assume that SAT scores are influenced by GPA and sex (male or female). This type of analysis also leads to possibilities of crossterms, meaning there is some effect of being male and having a certain GPA on the SAT scores vs being female and having a certain GPA. Basically, a short answer is, univariate deals with 1 predictor variable; multivariate deals with multiple predictor variables. I hope this helps!.. More from Yahoo Answers
Answer : Univariate means that you are assuming that the response variable is influenced only by one other factor. Example: SAT scores are influenced by GPA. You may be looking to test the hypothesis that as the GPA rises, the SAT score rises. Here you are assuming that the GPA is the only factor influencing the SAT score. Multivariate means that you are assuming that the response variable is influenced by multiple factors (and even combinations of factors). So for example, you might assume that SAT scores are influenced by GPA and sex (male or female). This type of analysis also leads to possibilities of crossterms, meaning there is some effect of being male and having a certain GPA on the SAT scores vs being female and having a certain GPA. Basically, a short answer is, univariate deals with 1 predictor variable; multivariate deals with multiple predictor variables. I hope this helps!.. More from Yahoo Answers
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