Statistics
Hi!
Hello!
Let us get to
know each other.
*to recognize terms related to Statistics.
*to collect and present data using different ways.
*to appreciate the uses of Statistics and ways of
collecting and presenting data in office
management.
Objectives:
Describe Me!!!
Describe Me!!!
What is Data?
𝑨 𝒄𝒐𝒍𝒍𝒆𝒄𝒕𝒊𝒐𝒏 𝒐𝒇 𝒇𝒂𝒄𝒕𝒔, 𝒍𝒊𝒌𝒆: words
Measurements
observations
descriptions of things
are pieces of numerical and other
information from which conclusions
may be drawn.
Data
What is Statistics?
The term is derived from
* Latin word statisticum collegium
* Italian word statista
“political state”
or
“government.
The German Statistik, first introduced by
Gottfried Achenwall (1749), originally designated
the analysis of data about the state.
It was introduced into English by Sir John Sinclair
Definitions of Statistics:
A branch of science which deals with the
collection (process of obtaining data)
organization
presentation (ways of organizing data into tables, graphs or
charts)
analysis ( process of extracting relevant information from the
given data from which numerical description can be
formulated)
and interpretation ( task of drawing conclusions from the
analyzed data) of data.
How important is
Statistics in our daily
lives?
General Uses of Statistics
1.Aids in decision making by
 providing comparison
 explaining action that has taken place
 justifying a claim or assertion
 predicting future outcome
 estimating unknown quantities
2. summarizes data for public use
Cite specific uses of Statistics in
your course and future
profession.
Two Branches of Statistics
1. Descriptive Statistics
2. Inferential Statistics
Descriptive Statistics
Descriptive statistics are methods for organizing
and summarizing data.
For example, tables or graphs are used to
organize data, and descriptive values such as the
average score are used to summarize data.
A descriptive value for a population is called a
parameter and a descriptive value for a sample is
called a statistic.
Inferential Statistics
Inferential statistics are methods for using
sample data to make general conclusions
(inferences) about populations.
Because a sample is typically only a part of the
whole population, sample data provide only limited
information about the population. As a result,
sample statistics are generally imperfect
representatives of the corresponding population
parameters.
Descriptive Statistics vs. Inferential Statistics
Descriptive Inferential
 A bowler wants to find his bowling
average for the past 12 games.
 A bowler wants to estimate his chance of
winning a game based on his current
season averages and the averages of his
opponents.
 A housewife wants to determine the
average weekly amount she spent on
groceries in the past 3 months.
 A housewife would like to predict based on
last year’s grocery bills, the average
weekly amount she will spend on groceries
for this year.
 A politician wants to know the exact
number of votes he received in the
last election.
 A politician would like to estimate, based
on an opinion poll, his chance for winning
in the upcoming election.

intro for UL.pptx

  • 1.
  • 2.
    Hi! Hello! Let us getto know each other.
  • 4.
    *to recognize termsrelated to Statistics. *to collect and present data using different ways. *to appreciate the uses of Statistics and ways of collecting and presenting data in office management. Objectives:
  • 5.
  • 6.
  • 7.
    What is Data? 𝑨𝒄𝒐𝒍𝒍𝒆𝒄𝒕𝒊𝒐𝒏 𝒐𝒇 𝒇𝒂𝒄𝒕𝒔, 𝒍𝒊𝒌𝒆: words Measurements observations descriptions of things are pieces of numerical and other information from which conclusions may be drawn. Data
  • 8.
    What is Statistics? Theterm is derived from * Latin word statisticum collegium * Italian word statista “political state” or “government. The German Statistik, first introduced by Gottfried Achenwall (1749), originally designated the analysis of data about the state. It was introduced into English by Sir John Sinclair
  • 9.
    Definitions of Statistics: Abranch of science which deals with the collection (process of obtaining data) organization presentation (ways of organizing data into tables, graphs or charts) analysis ( process of extracting relevant information from the given data from which numerical description can be formulated) and interpretation ( task of drawing conclusions from the analyzed data) of data.
  • 10.
    How important is Statisticsin our daily lives?
  • 11.
    General Uses ofStatistics 1.Aids in decision making by  providing comparison  explaining action that has taken place  justifying a claim or assertion  predicting future outcome  estimating unknown quantities 2. summarizes data for public use
  • 12.
    Cite specific usesof Statistics in your course and future profession.
  • 13.
    Two Branches ofStatistics 1. Descriptive Statistics 2. Inferential Statistics
  • 14.
    Descriptive Statistics Descriptive statisticsare methods for organizing and summarizing data. For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. A descriptive value for a population is called a parameter and a descriptive value for a sample is called a statistic.
  • 15.
    Inferential Statistics Inferential statisticsare methods for using sample data to make general conclusions (inferences) about populations. Because a sample is typically only a part of the whole population, sample data provide only limited information about the population. As a result, sample statistics are generally imperfect representatives of the corresponding population parameters.
  • 16.
    Descriptive Statistics vs.Inferential Statistics Descriptive Inferential  A bowler wants to find his bowling average for the past 12 games.  A bowler wants to estimate his chance of winning a game based on his current season averages and the averages of his opponents.  A housewife wants to determine the average weekly amount she spent on groceries in the past 3 months.  A housewife would like to predict based on last year’s grocery bills, the average weekly amount she will spend on groceries for this year.  A politician wants to know the exact number of votes he received in the last election.  A politician would like to estimate, based on an opinion poll, his chance for winning in the upcoming election.