What is the science of collecting organizing analyzing and interpreting numerical facts?

What is Statistics?

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting

numerical data to assist in making more effective decisions.

Who Uses Statistics?

Statistical techniques are used extensively by marketing, accounting, quality control,

consumers, professional sports people, hospital administrators, educators, politicians, physicians, and many

others.

Types of Statistics

1.Descriptive statistics

2.Inferential Statistics

Descriptive statistics: Methods of organizing, summarizing, and presenting data in an informative way.

Example 1: 35% of the faculty of commerce – English section knows Mr. Ehab

Example 2: According to Consumer Reports, General Electric washing machine owners reported 9 problems per

100 machines during 2001. The statistic 9 describes the number of problems out of every 100 machines.

Inferential Statistics: A decision, estimate, prediction, or generalization about a population, based on a sample.

Example 1: TV networks constantly monitor the popularity of their programs by hiring Nielsen and other

organizations to sample the preferences of TV viewers.

Example 2: The accounting department of a large firm selects a sample of the invoices to check for accuracy for

all the invoices of the company. The firm selects a random sample of 100 invoices and checks each invoice for

accuracy. There is at least one error on five of the invoices; hence the accounting firm estimates that 5 % of the

population of invoices contains at least one error.

Chicago-based market facts asked a sample of 1,960 consumers to try a newly

developed chicken dinner by Boston Market. Of the 1,960 sampled, 1,176 said

they would purchase the dinner if it is marketed

(a)What could market facts report to Boston Market regarding acceptance of the

chicken dinner in the population?

(b)Is this an example of descriptive statistics or inferential statistics? Explain.

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Types of variables

1. Qualitative

2.Quantitative

When the characteristic being studied is nonnumeric, it is called a qualitative variable or an attribute. Examples

of qualitative variables are gender, type of automobile owned, and eye color.

When the variable studied can be reported numerically, the variable is called a quantitative variable. Examples of

quantitative variables are the balance in your checking account, the life of an automobile battery, and the number

of children in the family.

Quantitative variables are either discrete or continuous. Discrete variables can assume only certain values, and

there are usually "gaps" between the values. Examples are the number of bedrooms in a house. A home can have

3 or 4 bedrooms, but it cannot have 3.56 bedrooms. Thus there is a gap between possible values.

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What is the science of collecting organizing and presenting data?

What is the branch of science researchers scientists use to analyze data?

Which of the following branch of science that deals with collecting organizing presenting analyzing and interpreting of data?

What is the branch of mathematics that deals with collecting organizing and interpreting data to address?