Chapter 1.2 Variables & Types of Data

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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.


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