Chapter 1.2 Variables & Types of Data
interval
Classify each as nominal level, ordinal level, interval level, or ratio level of measurement. Temperatures of hair dryers
ratio
Classify each as nominal level, ordinal level, interval level, or ratio level of measurement. Weights of suitcases on a commercial airliner
ratio
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Ages of childern in a day care center.
normal
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Categories of magazines in a physician's office (sports, women's, health, men's, news).
ratio
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Number of amps delivered by battery chargers.
ratio
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Pages in the 25 best-selling mystery novels.
oridnal
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Rankings of golfers in a tournament.
ordinal
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Ratings of textbooks (poor, fair, good, excellent).
ratio
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Salaries of the coaches in the NFL.
interval
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Temperatures inside 10 pizza ovens.
ratio
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Times required to complete a chess game.
ratio
Classify each as nominal-level, ordinal-level, intervallevel, or ratio-level measurement. Weights of selected cell phones.
continuous
Classify each variable as discrete or continuous. Ages of people working in a large factory
continuous
Classify each variable as discrete or continuous. Blood pressures of runners in a marathon. (1-2)
continuous
Classify each variable as discrete or continuous. Lifetimes (in hours) of 15 iPod batteries.
discrete
Classify each variable as discrete or continuous. Number of bananas in a bunch at several local supermarkets.
discrete
Classify each variable as discrete or continuous. Number of cups of coffee served at a restaurant
discrete
Classify each variable as discrete or continuous. Number of pizzas sold by Pizza Express each day.
discrete
Classify each variable as discrete or continuous. Number of students each day who make appointments with a math tutor at a local college.
continuous
Classify each variable as discrete or continuous. Relative humidity levels in operating rooms at local hospitals.
continuous
Classify each variable as discrete or continuous. The amount of drug injections into a guinea pig
discrete
Classify each variable as discrete or continuous. The number of gallons of milk sold each day at a grocery store
continuous
Classify each variable as discrete or continuous. The time it takes a student to drive to school
continuous
Classify each variable as discrete or continuous. Weights of the backpacks of first graders on a school bus.
quantitative
Classify each variable as qualitative or quantitative. Ages of people living in a personal care home. (1-2)
quantitative
Classify each variable as qualitative or quantitative. Capacity of the NFL football stadiums.
qualitative
Classify each variable as qualitative or quantitative. Colors of automobiles in a shopping center parking lot.
qualitative
Classify each variable as qualitative or quantitative. Marital status of nurses in a hospital.
quantitative
Classify each variable as qualitative or quantitative. Ounces of ice cream in a large milkshake.
quantitative
Classify each variable as qualitative or quantitative. Time it takes to run a marathon.
quantitative
Classify each variable as qualitative or quantitative. Weights of lobsters in a tank in a restaurant.
nominal
Data that can be classified according to color are measured on what scale? a. Nominal b. Ratio c. Ordinal d. Interval
Ex ordinal level of data
Grades "A, B, C, D, F," judging 1st 2nd 3rd
interval level of data
ranks data; precise differences between units of measure do exist; there is no meaningful zero.
continuous variables
the temperature of airplane interiors at a given airport.
ordinal
Classify each as nominal level, ordinal level, interval level, or ratio level of measurement. Classification of automobiles as subcompact, compact, standard, and luxury
ratio
Classify each as nominal level, ordinal level, interval level, or ratio level of measurement. Number of candy bars sold on a fund drive
normal
Classify each as nominal level, ordinal level, interval level, or ratio level of measurement. Rating of movies as G, PG, and R
Ex interval level of data
SAT score, I-Q, Temperature. All measurements are generic.
true
The lowest level of measurement is the nominal level. true or false
discrete
The number of ads on a one-hour television show is what type of data? a. Nominal b. Qualitative c. Discrete d. Continuous
true
The variable temperature is an example of a quantitative variable. true or false
ratio level of data
possesses all the characteristics of interval measurement, and there exists a true zero.
b
What are the boundaries of 25.6 ounces? a. 25-26 ounces b. 25.55-25.65 ounces c. 25.5-25.7 ounces d. 20-39 ounces
false
When the population of college professors is divided into groups according to their rank (instructor, assistant professor, etc.) and then several are selected from each group to make up a sample, the sample is called a cluster sample. True or False
Ex nominal level of data
ZIPCODES; gender male and female, eye color, political affiliation, religious affiliation, Major field of study, Nationality.
Quantitative variables
are numerical in nature and can be ordered or ranked. Example: age is numerical and the values can be ranked. Example : total cost of textbooks purchased by three student for this semesters classes is an example of _____.
Qualitative variables
are variables that can be placed into distinct categories, according to some characteristic or attribute. Example: A sample of four hair-salon customers were surveyed for their "hair color" and "hometown" Both variables describe some characteristic of the person.
Discrete variables 离散变量
assume values that can be counted.
Continuous variables
can assume all values between any two specific values. They are obtained by measuring. Weight, height.
Quantitative variables
can be further classified into two groups name the term _____?
ordinal level of data
classifies data into categories that can be ranked; precise differences between the ranks do not exist.
nominal level of data
classifies data into mutually exclusive "non-overlapping" categories in which no order or ranking can be imposed on the data.
Ex ratio level of data
height, weight, time, salary, age.
discrete variables
number of cartons of mile manufactured each day.
