On the next page is a small sample of the 1652009 pickup...

On the next page is a small sample of the 1652009 pickup trucks listed on MPGoMatic.com and available to the buying public. Refer to the table for this exercise (1.31) on page 14. a. What was the population from which this sample was taken? b. How many individuals were in the population? In the sample? c. How many variables? d. Name the qualitative/categorical variables. e. Which of the qualitative variables are nominal? Ordinal? f. $\quad$ Name the quantitative variables. g. Which of the quantitative variables are discrete? Continuous?

On the next page is a small sample of the 1652009 pickup trucks listed on MPGoMatic.com and available to the buying public. Refer to the table for this exercise (1.31) on page 14.
a. What was the population from which this sample was taken?
b. How many individuals were in the population? In the sample?
c. How many variables?
d. Name the qualitative/categorical variables.
e. Which of the qualitative variables are nominal? Ordinal?
f. $\quad$ Name the quantitative variables.
g. Which of the quantitative variables are discrete? Continuous?

Key Concepts

Quantitative Variables

Quantitative variables are numerical characteristics that can be measured and quantified. They provide information about quantities and amounts, and they allow for mathematical computations and statistical analysis.

Qualitative Variables

Qualitative variables, also known as categorical variables, classify subjects into categories based on attributes or qualities. They can be descriptive and are usually non-numeric, representing properties that indicate group membership such as brand or model without implying numerical order.

Continuous Variables

Continuous variables are quantitative variables that can take on an infinite number of values within a given range. They represent measurements where fractions and decimals are possible, such as variables that measure dimensions or time.

Discrete Variables

Discrete variables are quantitative variables that take on countable values, often in whole numbers. They typically arise from counting scenarios where fractional values do not make sense, such as the number of trucks in a sample.

Ordinal Variables

Ordinal variables are qualitative variables in which the categories have a logical or ordered relationship among them. Although the intervals between the categories may not be consistent, the order indicates relative ranking, such as satisfaction levels or size classifications.

Variables

Variables are characteristics or properties that can take on different values among individuals in a population or sample. They are the attributes measured or recorded in a study, serving as the primary data points for analysis.

Sample

A sample is a subset of the population that is selected for analysis. It is used to gather data and make inferences about the population without examining every individual member due to constraints such as time, cost, or accessibility.

Population

The population is the complete set of all subjects or items under consideration in a study. In statistical investigations, it represents the total group about which inferences or conclusions are to be drawn, and in this context, it refers to all pickup trucks available on the website being studied.

Nominal Variables

Nominal variables are a type of qualitative variable that categorizes data without any inherent order or ranking. They simply name or label different groups or categories, such as vehicle type or color, where no category is considered superior to another.

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