CNSL 503 MODULE 1 EXAM Questions and Answers
100% Verified Graded A+
1. Statistics
Answer: Encompasses the mathematical field that allows us to organize, summarize, describe, and interpret
ditterent forms of information
2. Data (datum)
Answer: Small and large sets of information
3. What are statistics important?
Answer: 1) allows data to be described and communicated succinctly and concisely
2) means by which researchers communicate their work with one another and the general public, clear and
understandable
, 3) allow inferences to be drawn about data, particularly when it is not feasible to collect info from all members of a
certain group
4) equip us with the necessary tools needed to make everyday decisions
4. Variable
Answer: Measurable characteristics that can vary in value
5. Qualitative variable
Answer: Non-numerical terms, using labels or categories (religion, ethnicity, eye color, career)
6. Quantitative variable
Answer: Measured in numerical terms (weight, height, hr rate, test score)
7. Discrete variable
Answer: quantitative variable that is organized by whole numbers (0,1,2,3...) (number of people, children,
animals)
8. independent variable
Answer: Variable that is manipulated in an experiment
9. Dependent variable
100% Verified Graded A+
1. Statistics
Answer: Encompasses the mathematical field that allows us to organize, summarize, describe, and interpret
ditterent forms of information
2. Data (datum)
Answer: Small and large sets of information
3. What are statistics important?
Answer: 1) allows data to be described and communicated succinctly and concisely
2) means by which researchers communicate their work with one another and the general public, clear and
understandable
, 3) allow inferences to be drawn about data, particularly when it is not feasible to collect info from all members of a
certain group
4) equip us with the necessary tools needed to make everyday decisions
4. Variable
Answer: Measurable characteristics that can vary in value
5. Qualitative variable
Answer: Non-numerical terms, using labels or categories (religion, ethnicity, eye color, career)
6. Quantitative variable
Answer: Measured in numerical terms (weight, height, hr rate, test score)
7. Discrete variable
Answer: quantitative variable that is organized by whole numbers (0,1,2,3...) (number of people, children,
animals)
8. independent variable
Answer: Variable that is manipulated in an experiment
9. Dependent variable
