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Source: (Prieto, Naval and Carey, Exercises 2017) Activity 2 (Natures and Kinds of Variables) Directions: Identify the different variables on each phenomenon below. Write the variables of each phenomenon on the correct columns below each number. Answers may repeat on different columns. Explain why you identified your answers as variables and why you classified them under each nature of variables/data and kinds of variables.2. Promotion to the Next Grade Level 3. Nature of Variables Nominal Ordinal Interval Ratio Kinds of Variables Independent Dependent Intervening/Mediating Control ConfoundingACTIVITY 2 1. Daily Attendance of Students Nature of Variables Nominal Ordinal Interval Ratio Daily Attendance of a Order of arrival to school Daily temperature for the day Number of students present (0. student (first, second, etc) 1,2, etc) (Present/Absent) -Interval-defined values represent Order of arrival to school these variables. For our purposes, -Ratio variables are almost -Daily attendance first from the root word of which is temperature, any change similar to interval variables, (whether present or ordinal, which is order. in the temperature scale indicates except a 0 value indicates that absent) is an example Ordinal variables are a holler or colder day. Variable the variable does not exist. For of a nominal variable. A denoted by numbers that because each day's temperature example, the total number of nominal variable is are ordered or a might vary. students present is a ratio defined as one that sequence. Variable variable, as zero indicates no includes two or more because a pupil can students present at all. categories but does not arrive in at a varied order However, in the case of our have a numerical value. to school. interval variable, temperature. Variable because a having 0 degrees Celsius does student may be absent not imply that there is no or present. temperature, rather, it indicates an actual observation of temperature Kinds of Variables Independent Dependent Intervening Mediating Control Confounding daily number of level of precipitation for the teacher or instructor number of hours of sloop temperature for students the day (e.q. rain, snow) of the present students the day present The control variable is the thing -The mediating variable that we constrain or keep -A confounding variable -The -The serves as a link between constant does not directly affect independent dependent the dependent and In this situation, we want to limit the dependent variable vanable is the variable must independent variables. the teacher to the pupils but is worth including in primary be the total Our example is the because we want to concentrate the study. For our substance that number of precipitation level. This our study on the relationship example, we'd like to affects the students establishes a more between temperature and have the number of dependent present, as direct correlation attendance. That is, the same hours slept by current variable. In this teacher for all students, as students in the study, as this is the between temperature example, we and student attendance. different teachers may also this may also affect are implying Important The temperature may be affect students' allendance attendance that the day's variable. low (too cold), but there temperature is no snow, pupils may affects the still attend school. As a number of result, the presence of pupils present. this mediating variable That is, if the enables us to connect day is the independent and excessively hot dependent variables. of excessively cold, fewer pupils may attend class