Personal Information
Organization / Workplace
Provo, Utah Area United States
Occupation
Faculty Developer and Decision-Based Learning Creator
Industry
Religion / Spirituality
Website
decisionbasedlearning.com
Tags
inferential vs. descriptive
range select - run - interpret
nature of the data
independent variable
difference relationship goodness of fit (2)
distribution moments
symmetry
spread
central tendency
inferential descriptive
difference relationship goodness of fit
dichotomous or scaled
skewed less than 30 (ties)
skewed sample size less than 30
ordinal (ties)
ordinal and nominal
relationship covariates
relationship nature of data
number of variables (predictive)
levels of the iv
independent variables (
dependent variable
predictive or arbitrary
nature of the data (descriptive)
interpret
select
independent samples t test - run
iq range select - run - interpret
interquartile range select - run - interpret
standard deviation select - run - interpret
mean select - run - interpret
iqr
standard deviation
range
normal or skewed distributions (descriptive both2)
normal or skewed distributions (descriptive one
central spread - symmetry
central tendency - spread - symmetry
infernetial vs desctiptive (jejit + indepth)
normal or skewed distributions (inferential)
normal or skewed distributions (descriptive two
normal versus skewed distributions
types of data
data types
differentiating statistical methods
when to use
descriptive statistics
inferential statistics
nature of the data (spread)
mean median and mode
mode
categorizing stats questions
diferencia entre anova e prueba de t
niveles de la variable explicativa
variables independientes
variables explicativas
datos ordinales y escalados
variable dependient
variables de interes
bondad de ajuste
relacion
diferencia
inferencial descriptiva
t test and anova
anova vs t-test
levels
variables of interest
inferential versus descriptive
romanticism spirituality
anova t-test
levels of iv
independent variables
scaled ordinal nominal
dependent variables
classify stat problems
c
distributions normal non normal
practice
decision based learning
describing
inferring
descriptive
inferential
quick reminder arbitrary or causal relationship
single sample t
factorial anova
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