Learn how ANOVA can help you understand your research data, and how to simply set up your very first ANOVA test.
Learn how to perform a Chi-Square Test easily with this step-by-step guide. Perfect for beginners looking to grasp the basics of statistical analysis.
A categorical variable is one that can be assigned to two or more groups. Common examples of categorical variables include...
Dichotomous(Nominal variable with only two categories) Sex Female Male Ordinal(variables that have two or more categories just like nominal variables. Only the categories can also be ordered or ranked.) Pclass (A proxy for socio-economic status (SES)) 1(Upper) 2(Middle) 3(Lower) Numeric...
Answer to: A sample is a. a measure of central tendency. b. a measure of variability. c. the same as the z-score or standard deviation. d. a...
You are estimating the probability pr(Y=1|X=x) ; the probability of a transaction given age rage and gender. With categorical predictors like this an intuitive estimator would be the proportions of outcomes in the data. Logistic regression becomes more interesting when the pred...
(nominal, ordinal) and metric (interval, ratio) variables. dichotomous variables, however, don't fit into this scheme because they're both categorical and metric. this odd feature (which we'll illustrate in a minute) also justifies treating dichotomous variables as a separate measurement level. ...
Which type of statistics are used for decision-making, for generalizing from small samples, and for drawing conclusions? a. descriptive b. inferential c. nominal d. ordinal What are independent and dependent variables in a hypothesis? R^2 is: a. The percentage of varia...
nomLORgee for a nominal response scale. Currently, the only option is a marginal baseline category logit model. The main arguments in both functions are: an optional data frame (data), a model formula (formula), a cluster identifier variable (id), an optional vector that identifies the order...
A nominal variable is a categorical variable that differs by quality, but whose numerical order could be irrelevant. For instance, asking somebody their favorite color would produce a nominal variable. Asking somebody’s age, on the other hand, would produce an ordinal set of data. Chi-square ...