Chapter 2 Review

The distinction between "Statistics" with a capital S and "statistics" with a lower case s is:

"Statistics is a tool to help process, summarize, analyze, and interpret data for the purpose of making better decisions in an uncertain environment, while "statistics" refers to summary measure that are computed from a sample to describe a numerical characteristic of the entire population.

The total area of the bars in a relative frequency histogram:

Depends on the width of each bar.

Which of the following variables is an example of a categorical variable?

The geographic region of the country in which you live.

Which of the following is an example of discrete random variable?

The number of people eating at a local café between noon and 2:00 p.m.

A bar chart is created by drawing a rectangle representing each category.

True.

Bar charts focus attention on the frequency of the occurrences of the categories.

True.

The height of each rectangle in a bar chart represents the frequency for a particular category.

True.

The classification of student major (accounting, economics, management, marketing, other) is an example of

a categorical random variable.

The two graphical techniques we usually suet present nominal data are

bar chart and pie chart.

The width of each bar in a histogram corresponds to the

boundaries of the class.

When studying the simultaneous responses to two categorical questions, we should develop a

contingency table.

Professor Mathew graduated from the University of North Dakota with a code value = 1 while professor Hansen graduated from the University of Wisconsin with a code value = 2. The scale of measurement likely represented by this information is:

nominal.

A line graph that connects points that represents the cumulative percentage of observations below the upper limit of each class interval in a cumulative frequency distribution is known as an:

ogive.

In rating the service provided by a restaurant server, the following responses are possible: excellent, above average, below average, and poor. The responses are coded from 1 to 5 being excellent. The scale of measurement these represent is:

ordinal.

When data are collected in a statistical study for only a portion or subset of all elements of interest the researcher is using a:

sample.

The relationship between two interval variables is graphically displayed by a

scatter diagram.

In general, the scatter diagram of two internal variables may reveal that

there is a positive linear relationship, there is a negative linear relationship, there is no relationship at all, or the relationship may be nonlinear.