Understanding statistics

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1. Introduction

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Understanding statistics is essential to understand research in the social and behavioural sciences. In this course, you will learn the basics of statistics and how it is being applied in various fields. This course will also prepare you for the next course which is Inferential Statistics. You will learn methods of descriptive statistics. You will learn what variables are and how to organize and present data in an effective way. You will learn how to compute measures of central tendency and measures of dispersion. You will learn how to access relationships between variables. You will also learn the basic calculation and the use of index number. You will also be trained on how to use the statistical functions provided by most standard calculators to help you to generate statistics results. You will also be exposed to some statistical software and how to do a simple statistical report.

 

7. Final Project

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7. Final Project  7.0 Learning Outcomes div class="mv-text-break mv-description" content=" When you have completed this project assignments, you will be able to: LO 7.1 : Understand to design questionnaires. LO 7.2 : Understand how to perform probability sampling and collect data. LO 7.3 : Understand how to organize data using excel or similar...



6. Index Number

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6. Index Number  6.0 Learning Outcomes 6 div class="mv-text-break mv-description" content=" When you have completed this chapter, you will be able to : LO 6.1 : Compute and interpret simple index. LO 6.2 : Describe the difference between a weighted and an weighted index. LO 6.3 : Compute and interpret a Laspeyres index. LO 6.4 : Compute...

5. Correlation

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5. Correlation  5.0 Learning Outcomes 5 div class="mv-text-break mv-description" content=" When you have completed this chapter, you will be able to : LO 5.1 : Define the terms independent variable and dependent variable. LO 5.2 : Construct and interpret a scatter diagram. LO 5.3 : Calculate and interpret the relationship between two variables...
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4. Numerical Descriptive Statistics

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4. Numerical Descriptive Statistics  4.0 Learning Outcomes 4 div class="mv-text-break mv-description" content=" When you have completed this chapter, you will be able to : LO 4.1 : Explain the concept of central tendency. LO 4.2 : Identify and compute sample mean, median and mode. LO 4.3 : Explain and apply measures of dispersion. LO 4.4...

3. Describing Data Using Tables and Graphs

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3. Describing Data Using Tables and Graphs  3.0 Learning Outcomes 3 div class="mv-text-break mv-description" content=" When you have completed this chapter, you will be able to : LO 3.1 : Make a frequency table for a set of data. LO 3.2 : Present a set of data into a bar chart or a pie chart. LO 3.3 : Present data from a frequency distribution...
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3. Describing Data Using Tables and Graphs

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3. Describing Data Using Tables and Graphs  3.0 Learning Outcomes 3 div class="mv-text-break mv-description" content=" When you have completed this chapter, you will be able to : LO 3.1 : Make a frequency table for a set of data. LO 3.2 : Present a set of data into a bar chart or a pie chart. LO 3.3 : Present data from a frequency distribution...

2. Data

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2. Data  2.0 Learning Outcome 2 div class="mv-text-break mv-description" content=" When you have completed this chapter, you will be able to: LO 2.1 : Explain the difference between qualitative and quantitative variables. LO 2.2 : Recognize the levels of measurement in data. LO 2.3 : Compare the different ways of how data are collected. ...
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