Business Statistics For Contemporary Decision Making 8th Edition By Black – Test Bank

File: Ch11, Chapter 11: Analysis of Variance and Design of Experiments

True/False

1. In experimental design, classification variables are independent variables.

Ans: True
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.

2. In an experimental design, treatment variables are response variables.

Ans: False
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.

3. In experimental design, a characteristic of the subjects that was present prior to the experiment and is not the result of the experimenter’s manipulations or control is called a classification variable.

Ans: True
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.

4. In experimental design, a variable that the experimenter controls or modifies in the experiment is called a treatment variable.

Ans: True
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.

5. An experimental design contains only independent variables.

Ans: False
Response: See section 11.1 Introduction to Design of Experiments
Difficulty: Easy
Learning Objective: 11.1: Describe an experimental design and its elements, including independent variables—both treatment and classification—and dependent variables.

6. Analysis of variance may be used to test the differences in the means of more than two independent populations.

Ans: True
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.

7. In analysis of variance tests a F distribution forms the basis for making the decisions.

Ans: True
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.

8. The statistical methods of analysis of variance assume that the populations are normally distributed.

Ans: True
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.

9. The statistical methods of analysis of variance assume equal sample means.

Ans: False
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.

10. Determining the table value for the F distribution requires two values for degrees of freedom.

Ans: True
Response: See section 11.2 The Completely Randomized Design (One-Way ANOVA) Difficulty: Difficulty: Easy
Learning Objective: 11.2: Test a completely randomized design using a one-way analysis of variance.