Business statistics chapter 1, Lecture notes of Business Statistics

This chapter is about the introduction of data collection

Typology: Lecture notes

2017/2018

Uploaded on 09/26/2018

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Chapter 1
Introduction
and Data
Collection
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Chapter 1

Introduction

and Data

Collection

Learning Objectives

The study of this chapter should enable you to:

  • (^) define statistics and other related terms
  • (^) describe the types of statistics
  • (^) describe the types of data and their sources
  • (^) understand the different levels of measurement
  • (^) differentiate between census and sampling
  • (^) describe the types of sampling and various

Types of Statistics

Descriptive Inferential  (^) Collecting, presenting, and characterizing data  (^) Drawing conclusions and/or making decisions concerning a population based only on sample data  (^) Involve either estimation or hypothesis testing

Related Terms in

Statistics

  • (^) POPULATION - All the items or individuals about which you want to draw a conclusion.
  • (^) SAMPLE - The portion of a population selected for analysis.
  • (^) PARAMETER - A numerical measure that describes a characteristic of a population.
  • (^) STATISTIC - A numerical measure that describes a characteristic of a sample.

Types of Data/Variables

Data/Variab les Categorical (Qualitative)

  • Defined categories Examples: Gender, marital status, races Numerical (Quantitative) Discrete
  • counted items Examples: Numbers of accidents Continuous
  • measured characteristics Examples: Weight, temperature

Levels of Measurement

Nomin al

  • (^) Categorical data
  • (^) distinct categories in which no ordering is implied Ordina l
  • (^) Categorical data
  • (^) Categories that can be ordered or ranked (eg: from highest to lowest rating) Interva l
  • (^) Numerical data
  • (^) Values are real numbers
  • (^) Meaningful difference between values – zero is not a true zero Ratio
  • (^) Numerical data
  • (^) Meaningful 0 point

Getting started with

SPSS

In the end of this lessons, students should know:

  • (^) How to start SPSS
  • (^) The windows in SPSS
  • (^) The SPSS main menus and the commands
  • (^) How to prepare Data File
    • (^) name variables
    • (^) key-in data
  • (^) How to save Data File