Upload
eleanore-lambert
View
213
Download
0
Embed Size (px)
Citation preview
IIC University of TechnologyCourse: Statistics and Probability
Year 2 & 4, semester 1
Lecturer: Mr. Yuk Sovandara
Chapter 1Introduction to Statistics and Data
Collection
What is Statistics?•A branch of mathematics taking and transforming numbers in to useful information for decision makers•Methods for processing and analyzing numbers•Methods for helping reduce the uncertainty in decision making
What can statistics apply to?• Business research• Technical reports• News articles• Magazine articles
Why study Statistics?• Present and describe data and information
properly• Draw conclusion about large groups of
individuals, or items by using information from samples.
• Make reliable forecasts about a business activity
• Improve business processes
In pairs think why you need to know statistics?
To know how to properly………….informationTo know how to draw conclusions about
populations based on sample………..To know how to………processesTo know how to obtain reliable…………..
Type of statistics1. Descriptive statistics—methods of
collecting, summarizing, and describing data Example: Ministry of Economy and Finance reports
that in 2011, the economic growth rate is up to 6.7%
2. Inferential statistics—methods of drawing conclusions or making decision concerning a population based on sample data
Example: Based on a sample (30 students’ scores)
selected from 50 students’ scores of an IT class, more than 15 students got scores higher than 50. Therefore, we can infer that 50% of all students in the IT class pass.
• Population: A collection of all possible individuals or items of interest
• Sample: A portion, or part of the population In the above example, the sample is 30
students’ scores. The population is all scores of students in the IT class.
Example: Beeline company asked a sample of 30,000
Beeline Sim users where they like numbers start with 090. Of 30,000, 2,3000 people said that they like. The company will increase numbers starting with 090 in the market.
Question: Is this example of descriptive statistic or
inferential statistics? Why?
Why collect data?• A marketing research analyst needs to assess
the effectiveness of a new advertisement• An operating manager wants to monitor a
manufacturing process to find out whether the quality of the product being manufactured is conforming to company standards.
• RGC wants to find out whether triangle strategy has reduced the poverty of Cambodian.
Collecting data
Primary data
Observation
Experimentation Survey
Secondary data
Print or Electronic
Types of data
Data
Numerical
Discrete Continuous
Categorical
Categorical data:-Marital status
-Sex-Eye color
Numerical dataDiscrete data:
-Number of children-Number of eggs produced per day
Numerical dataContinuous:
-Weight-Height
Discrete data or continuous data?
• The units of an item in an inventory• The number of persons per household• The weight of a car• The length of time that a car racer uses• The average number of persons in a large
community
Levels of measurementAn ordinal level classifies data in to distinct
categories in which ranking is implied.Example:
-Student grades: A, B, C, D-Satisfaction: Satisfied, neutral, unsatisfied-Standard & Poor’ bond rating: AAA, AA,A, BBB,BB, B, CCC, CC, C,DDD, DD,D
A nominal level classifies data in to distinct categories in which no ranking is implied.
Example: -Internet providers: Angkornet, Online, Camnet -Sex: M, F
An interval level is a level in which the difference between measurements is a meaning full quantity but the measurements do not have a true zero point.
Example: Temperature in FahrenheitAn ratio level is a level in which the difference
between measurements is a meaning full quantity but the measurements have a true zero point.
Example: Height, Age
Identify the types of data and levels of measurement in the following examples:
Example Type of data Level of measurement
Profit($)
Religion
Gender
Managerial level
Height
Rank in army