Problem II From a sample of thirty adult subjects, ten are randomly assigned to receive instruction most effective with regard to adult ability to solve a particular type of logic problem An education specialist conducts a study to determine which of three teaching methods in using each teaching method. At the end of the instruction period, all subjects take the same test, and each obtains a test score which measures their ability to solve the particular type of problem. The specialist believes that several other variables may have an impact on the test scores, and thus includes these variables in the data set and data analysis. The resulting data set includes the following variables: "subject name", "teaching method (standard method, new method,new prethod-BY "test score (8 to 10), "gendor (male, Temále)", "age (in years)". "high school diploma (yes, no)", "race (Asian, African-American, Caucasian) 1. Identify which of the above variables are dichotomous. gender (male, Female) high school diploma (yes or no) 2. Identify which of the above variables are quantitative. Age (in years) test Score (0 to 10) 3. Identify which of the above variables are categorical. teaching method Standard, new A, new B) Face (Asian, African-American, Caucasion) Subject name 4. The specialist examines how the average "test score" depends on the levels of the predictor variables "teaching method", "gender", "age", "high school diploma", and "race". This investigation is an example of an: experimental study B. observational study C. Cannot tell from the information given 5. TRUE or FALSE: The response variable for this study is "teaching method". 6. Identify which of the variables in the investigation are "experimental variables", and which are "observational variables". observational variables test scores that measure the ability to solve a particular of problem experimental variables teaching methods, high school diploma, race, gender, age
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Given information:
The problem given is related to educational teaching methods.
Find:
1)Identify the variables which are dichotomous.
2)Identify the variables which are quantitative.
3)Identify the variables which are categorical in the given problem.
Definition:
Dichotomous Variable:
Classifying the observations according to the presence or absence of an attribute is called a dichotomous variable.
Or the variable is classifying only two categories.
Quantitative Variable:
Quantitative variables data represent the numerical value and which changes its value like weight and height of the person, examination marks.
Categorical Variable:
Categorical variables represent the data in terms of dividing the different groups.
Example: Sex, Educational level
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