Methods for developing useful decision-making information from large data bases is known as

data mining

The process of capturing, storing, and maintaining data is known as

data warehousing

The subject of data mining deals with

methods for developing useful decision-making information from large data bases

In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an example of the

nominal scale

The nominal scale of measurement has the properties of the

None of these alternatives is correct.

The scale of measurement that is used to rank order the observation for a variable is called the

ordinal scale

Some hotels ask their guests to rate the hotel’s services as excellent, very good, good, and poor. This is an example of the

ordinal scale

The ordinal scale of measurement has the properties of the

nominal scale

The ratio scale of measurement has the properties of

the interval scale

Temperature is an example of a variable that uses

the interval scale

The interval scale of measurement has the properties of the

None of these alternatives is correct.

Arithmetic operations are inappropriate for

the nominal scale

Income is an example of a variable that uses the

ratio scale

Data obtained from a nominal scale

can be either numeric or nonnumeric

The scale of measurement that has an inherent zero value defined is the

ratio scale

Arithmetic operations are appropriate for

None of these alternatives is correct

Quantitative data refers to data obtained with a(n)

either interval or ratio scale

Data

are the raw material of statistics

The entities on which data are collected are

elements

The set of measurements collected for a particular element is (are) called

observations

A characteristic of interest for the elements is called a(n)

variable

All the data collected in a particular study are referred to as the

data set

Another name for “observations” is

cases

Quantitative data

are always numeric

In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an example of a

categorical variable

The number of cases will always be the same as the number of

elements

Categorical data

may be either numeric or nonnumeric

Categorical data

are labels used to identify attributes of elements

Ordinary arithmetic operations are meaningful

only with quantitative data

Social security numbers consist of numeric values. Therefore, social security is an example of

a categorical variable

Temperature is an example of

a quantitative variable

For ease of data entry into a university database, 1 denotes that the student is an undergraduate and 2 indicates that the student is a graduate student. In this case data are

categorical

Arithmetic operations are inappropriate for

categorical data

Income is an example of

categorical data

Data collected at the same, or approximately the same, point in time are

crossectional data

Data collected over several time periods are

time series data

Statistical studies in which researchers do not control variables of interest are

observational studies

Statistical studies in which researchers control variables of interest are

experimental studies

The summaries of data, which may be tabular, graphical, or numerical, are referred to as

descriptive statistics

Statistical inference

is the process of drawing inferences about the population based on the information taken from the sample

The collection of all elements of interest in a particular study is

the sampling

A portion of the population selected to represent the population is called

a sample

In a sample of 800 students in a university, 240, or 30%, are Business majors. The 30% is an example of

descriptive statistics

In a sample of 400 students in a university, 80, or 20%, are Business majors. Based on the above information, the school’s paper reported that “20% of all the students at the university are Business majors.” This report is an example of

statistical inference

Five hundred residents of a city are polled to obtain information on voting intentions in an upcoming city election. The five hundred residents in this study is an example of a(n)

sample

A statistics professor asked students in a class their ages. On the basis of this information, the professor states that the average age of all the students in the university is 24 years. This is an example of

statistical inference

The owner of a factory regularly requests a graphical summary of all employees’ salaries. The graphical summary of salaries is an example of

descriptive statistics

The Department of Transportation of a city has noted that on the average there are 17 accidents per day. The average number of accidents is an example of

descriptive statistics

The process of analyzing sample data in order to draw conclusions about the characteristics of a population is called

statistical inference

In a post office, the mailboxes are numbered from 1 to 4,500. These numbers represent

categorical data

The average age in a sample of 190 students at City College is 22. As a result of this sample, it can be concluded that the average age of all the students at City College

could be larger, smaller, or equal to 22

Since a sample is a subset of the population, the sample mean

can be larger, smaller, or equal to the mean of the population

The scale of measurement that is simply a label for the purpose of identifying the attribute of an element is the

nominal scale

In a data set, the number of elements will always be the same as the number of

observations

Which of the following is not a scale of measurement?

primal

Which of the following is a scale of measurement?

ratio

Which of the following variables use the ratio scale of measurement?

nominal

Which of the following variables use the ratio scale of measurement?

income

The weight of a candy bar in ounces is an example of

quantitative data

The height of a building, measured in feet, is an example of

quantitative data

An interviewer has made an error in recording the data. This type of error is known as

a data acquisition error

Census refers to

a survey to collect data on the entire population

In experimental studies, the variable of interest

is controlled

In observational studies, the variable of interest

is not controlled

How many scales of measurement exist?

4

Which of the following can be classified as quantitative data?

interval and ratio

The sample size

is always smaller than the population size

A population is

the collection of all items of interest in a particular study

In a random sample of 200 items, 5 items were defective. An estimate of the percentage of defective items in the population is

2.5%

On a street, the houses are numbered from 300 to 450. The house numbers are examples of

categorical data

A survey to collect data on the entire population is

a census

In Excel, a worksheet that displays the data for the problem and shows the results of the analysis is

a value worksheet

In Excel, a worksheet that displays the formulas used to create the results is a

formula worksheet