Answer:Here are the answers to your questions about research terminology and variable types: D. Several factors operating in a real-life situation which are not measured in the study that may affect changes in the dependent variable Extraneous variables are factors that could influence the dependent variable but are not the focus of the study. They can be a source of error if not controlled.D. Temperature in Fahrenheit An interval scale has equal intervals between values, but it doesn't have a true zero point. Temperature in Fahrenheit fits this description.D. Numeric variables Numeric variables are also known as quantitative variables. They represent measurable quantities and can be expressed numerically.A. Dichotomous variables Dichotomous variables have only two categories, like "yes/no" or "male/female."A. Continuous Daily rainfall can take on any value within a range (e.g., 0.5 inches, 2.3 inches, etc.). This makes it continuous data.B. Discrete The number of times a cyclist rides over 45 km each day can only be whole numbers (e.g., 0 times, 1 time, 2 times, etc.). This makes it discrete data.A. Height of sunflower as measured each day Height is a continuous variable because it can take on any value within a range. The other options are discrete because they can only be whole numbers.D. Polychotomous variables Polychotomous variables have more than two categories.B. Dichotomous variables The categories "rich/poor," "black/white," and "over/under" represent two distinct groups, making them dichotomous variables.D. Polychotomous variables "Excellent," "Fair," "Poor," and "Needs Improvement" represent more than two categories, making them polychotomous variables. C. Independent variable The independent variable is the factor that is manipulated or changed by the researcher in an experiment. The researcher observes how this manipulation affects the dependent variable.