An education specialist conducts a study to determine which of three teaching methods is most effective with regard to adult ability to solve a particular type of logic problem. From a sample of thirty adult subjects, ten are randomly assigned to receive instruction 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 A, new method B)", "test score (0 to 10)", "gender (male, female)", "age (in years)", "high school diploma (yes, no)", "race (Asian, African-American, Caucasian)". 1. Identify which of the above variables are dichotomous. 2. Identify which of the above variables are quantitative. 3. Identify which of the above variables are categorical.
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Stat 1561 Homework Problems (Set 1a)_06658fc30a3e67caebc8ecec94f57d86
An education specialist conducts a study to determine which of three teaching methods is
most effective with regard to adult ability to solve a particular type of logic problem.
From a sample of thirty adult subjects, ten are randomly assigned to receive instruction
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 A, new method B)",
"test score (0 to 10)", "gender (male, female)", "age (in years)", "high school diploma
(yes, no)", "race (Asian, African-American, Caucasian)".
1. Identify which of the above variables are dichotomous.
2. Identify which of the above variables are quantitative.
3. Identify which of the above variables are categorical.
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:
A. 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".
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“Since you have posted a question with multiple sub-parts, we will solve first three subparts for you. To get the remaining sub-parts solved, please repost the complete question and mention the sub-parts to be solved.”
Dichotomous variables are also called binary variables because they have only two categories like Yes/No, True/False, etc.. So anything that has no order and has two categories is a dichotomous variable.
Quantitative variables provide a numerical measure of a subject. In this variable, arithmetic operations like addition, subtraction, multiplication, or division can be performed on the values of the quantitative variable and provide meaningful results. Sample size, height, and weight are some of the quantitative variables.
When subjects are collected in groups or categories that do not vary in degree, quantity, or quantity is called categorical variable. Some examples are rainbow color, gender, occupation, race, etc.,.
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