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46.What type of variable "pounds of popcorn" served at a

Question : 46.What type of variable "pounds of popcorn" served at a : 1374388

 

46.What type of variable is "pounds of popcorn" served at a movie theater? 
 
 

A. Interval

 

B. Ratio

 

C. Discrete

 

 Continuous

"Pounds of popcorn" can assume any value within a range. There are no "gaps" in the scale.

 

 

 

47.The final rankings of the top 20 NCAA college basketball teams are an example of which level of measurement? 
 
 

A. Nominal

 

 Ordinal

 

C. Interval

 

D. Ratio

While the rankings indicate which team is better than another, they do not measure how much better a team is relative to another.

 

 

 

48.Your height and weight are examples of which level of measurement? 
 
 

A. Nominal

 

B. Ordinal

 

C. Interval

 

 Ratio

Height and weight are ratio variables that have a zero point, and the ratio between two values is meaningful.

 

 

 

49.Shoe style is an example of what level of measurement? 
 
 

 Nominal

 

B. Ordinal

 

C. Interval

 

D. Ratio

Shoe style is a nominal variable because it is a label with no natural order and cannot be ranked or ordered.

 

 

 

50.The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called ____________. 
 
 

 Statistics

 

B. Descriptive statistics

 

C. Inferential statistics

 

D. Levels of measurement

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions.

 

 

 

51.The Nielsen Ratings break down the number of people watching a particular television show by age. What level of measurement is age? 
 
 

A. Nominal

 

B. Ordinal

 

C. Interval

 

 Ratio

Age is a ratio variable because it has a zero point, and the ratio between two values is meaningful.

 

 

 

52.An example of a qualitative variable is _________________. 
 
 

A. Number of children in a family

 

B. Weight of a person

 

 Color of ink in a pen

 

D. Miles between oil changes

Color is a qualitative variable because it is an attribute that can be observed but not measured.

 

 

 

53.Which one of the following is NOT an example of discrete data? 
 
 

A. Number of households watching the Home Shopping Network

 

B. Number of employees reporting in sick

 

 Number of miles between New York City and Chicago

 

D. Number of members of the Denver Lions Club

Discrete variables can assume only certain values and there are "gaps" between the values. Miles is not discrete because it can be measured with any number of decimal points.

 

 

 

54.What level of measurement is a person's "favorite sport"? 
 
 

A. Ratio

 

B. Ordinal

 

C. Interval

 

 Nominal

The variable, person's "favorite sport," is a label with no natural order and cannot be ranked or ordered.

 

 

 

55.A group of women tried five brands of fingernail polish and ranked them according to preference. What level of measurement is this? 
 
 

A. Nominal

 

 Ordinal

 

C. Interval

 

D. Ratio

The rankings are ordinal. While the rankings indicate which brand is preferred over another, they do not measure how much more they are preferred.

 

 

 

56.A university wishes to conduct a student survey. In one of the questions students are asked to mark their gender as either male or female. Gender is an example of the: 
 
 

A. Ordinal scale

 

 Nominal scale

 

C. Ratio scale

 

D. Interval scale

 

 

 

 

57.Income is a variable often used in business and economics. Income is an example of a variable that uses the: 
 
 

A. Ordinal scale

 

B. Nominal scale

 

 Ratio scale

 

D. Interval scale

 

 

 

 

58.When statisticians analyze sample data in order to draw conclusions about the characteristics of a population, this is referred to as: 
 
 

A. Descriptive statistics

 

 Statistical inference

 

C. Data analysis

 

D. Data summarization

 

 

 

 

59.The length of a bridge, measured in meters, is an example of: 
 
 

A. Categorical data

 

B. Either categorical or quantitative data

 

C. Measurement data

 

 Quantitative data

 

 

 

 


 

 

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