Statistics for Projects Statistics for Managers. The sample frame should closely agree with the target population……. Sampling error - the difference between.

Slides:

Advertisements

Similar presentations

Chapter 2 Samples and Populations

Advertisements

Organisation and Presentation of Data Hypothesis – This is a statement about the collected data that may or may not be true. The object of using a hypothesis.

Chapter 1 The Where, Why, and How of Data Collection

Selecting Research Participant 1. Sample & Population A population is the entire set of individuals of interest to a researcher. A sample is a set of.

Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides

Statistical Methods Descriptive Statistics Inferential Statistics Collecting and describing data. Making decisions based on sample data.

Experimental Statistics I.  We use data to answer research questions  What evidence does data provide?  How do I make sense of these numbers without.

Thomas Songer, PhD with acknowledgment to several slides provided by M Rahbar and Moataza Mahmoud Abdel Wahab Introduction to Research Methods In the Internet.

Is it what it is. Depending on the data type, we can use different types of display. When dealing with categorical (nominal) data we often use a.

ROLE AND IMPORTANCE OF MARKET RESEARCH  Process of collecting and analyzing data for a good/service in a market  Analyzing consumer reaction to eg.

Statistics - Descriptive statistics 2013/09/23. Data and statistics Statistics is the art of collecting, analyzing, presenting, and interpreting data.

Statistics 300: Introduction to Probability and Statistics Section 2-2.

Data Handling GCSE coursework. Hypothesis Collection of Data Data Handling GCSE coursework Hypothesis.

Copyright © 2012 by Nelson Education Limited.2-1 Chapter 2 Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts, and Graphs.

Chapter 2: Statistics of One Variable

Data Presentation.

Sta220 - Statistics Mr. Smith Room 310 Class #3. Section

Sta220 - Statistics Mr. Smith Room 310 Class #3. Section

Graphing Review Part 2 Types of Graphs.

1.2 Key Terms Statistics:The collection, analysis, interpretation and presentation of data Population: A collection of persons, things or objects under.

Behavior Management: Applications for Teachers (5 th Ed.) Thomas J. Zirpoli Copyright © 2008 by Pearson Education, Inc. All rights reserved. 1 CHAPTER.

1 Course review, syllabus, etc. Chapter 1 – Introduction Chapter 2 – Graphical Techniques Quantitative Business Methods A First Course

BUSINESS STATISTICS Chapter 1 (Page 26). 1.1 What is Business Statistics (Page26) Business Statistics – is a collection of tools and techniques that are.

© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 1-1 Statistics for Managers Using Microsoft ® Excel 4 th Edition Chapter.

Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. 1.1 Chapter Five Data Collection and Sampling.

Chapter Five Data Collection and Sampling Sir Naseer Shahzada.

SEMESTER 1 FINAL EXAM REVIEW Vocabulary Review (All Gathering Data Vocabulary)

Introduction A Review of Descriptive Statistics. Charts When dealing with a larger set of data values, it may be clearer to summarize the data by presenting.

Excel Charts. Column Chart The Column Chart will show the comparison of one or more series of data points. It is specially useful in comparing multiple.

Histograms. Grouped frequency distribution Shows how many values of each variable lie in a class. Some information is lost. When presenting this information.

The hypothesis that most people already think is true. Ex. Eating a good breakfast before a test will help you focus Notation  NULL HYPOTHESIS HoHo.

Total Population of Age (Years) of People. Pie Chart of Males and Females that Smoke Systematic Gender Sample Total Population: 32.

Frequency, Percentage, and Proportion Statistical Based Graphical Displays.

Creating fields in FlexiDATA Enter a title for your data file. Different types of field Different types of data validation.

Copyright © 2010 Pearson Education, Inc Chapter Twenty-Three Report Preparation and Presentation.

4.4 Marketing Research.

AP Statistics Wednesday, 09 September 2015 OBJECTIVE TSW review for Friday’s test over Chapter 1 – 3.

Sampling technique  It is a procedure where we select a group of subjects (a sample) for study from a larger group (a population)

Presenting Research Findings

The Statistical Cycle. (1) Pose questions/ problems (2) Collect data >Populations and samples >Data collection tools : questionnaire, survey, recording.

Market Research. Marketing Issues and Concepts Market research is a broad and far reaching process Not just used to find out if consumers will buy your.

STATISTICAL INVESTIGATION Term 3 Weeks 1-4. STATISTICS OVERVIEW Over the next four weeks you will be completing a statistical investigation To complete.

Random Sampling Error and Sample Size are Related

© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

Statistics Statistics is that field of science concerned with the collection, organization, presentation, and summarization of data, and the drawing of.

CHAPTER 13 Data Processing, Basic Data Analysis, and the Statistical Testing Of Differences Copyright © 2000 by John Wiley & Sons, Inc.

Marketing Research Aaker, Kumar, Leone and Day Eleventh Edition

Target for Today Know what can go wrong with a survey and simulation

Business Research Methods

Chapter 2: Methods for Describing Data Sets

Sample Column Chart- No Data Labels, no lines SOURCE:

Frequency Distributions and Graphs

LESSON 2: FREQUENCY DISTRIBUTION

Language Describing Data by Tables and Graphics Chapter 1 (and 0)

Using Statistics in Biology

Using Statistics in Biology

Data Processing, Basic Data Analysis, and the

Inference for Sampling

Elementary Statistics: Looking at the Big Picture

Constructing and Interpreting Visual Displays of Data

WHY DO WE USE GRAPHS? Graphs help us visualize numerical data.

Experimental Design Experiments Observational Studies

Statistical Tables and Graphs

Chapter One Data Collection

Chapter One Data Collection

Organizing & Visualizing Data

Biostatistics Lecture (2).

Categorical Variables

Statistics in Biology: Standard Error of the Mean & Error Bars

Presentation transcript:

Statistics for Projects Statistics for Managers

The sample frame should closely agree with the target population……. Sampling error - the difference between a numerical descriptor of the population and the corresponding descriptor of the sample. Eg childrens’ height. Undercoverage - occurs when some population units are excluded from the process of selecting the sample. Non response – occurs whenever some of the individuals who were supposed to be included in the sample are not. Observation Error – data values recorded incorrectly Recording error – by respondent or interviewer. Response bias – slanting the question/ sensitive issues

Presentation of data – some examples Why is presentation important? How can you present data meaningfully?

A simple bar chart No of students

Bar Charts It is good way to show relative sizes Scalable within reason Good for comparing Good for showing changes over time or a trend.

Presentation of data - Histogram Weight (kg) Number of bags

Presentation of data – Pie chart

Presentation of data – Cumulative Cum.freq

Multiple bar chart showing the alcoholic preference of the student group.

Component bar chart showing the married or not married status of the student group.

% Component bar. Source: competition commission, 2000

Store choice criteria, grocery shopping Source: Competition Commission, 2000.

Presentation of data - graph