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ASC 100: INTRODUCTION TO SOCIOLOGY
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This is a
very exciting course which many social science scholars have termed as the Queen Mother of
all social sciences. Many people not schooled in sociology liken it to socialization which is
incorrect. Socialization is a small part of sociology and shall be covered in due course. In this
course all sociological concepts will be introduced to you. This is an interactive instructional
module that uses both action and collaborative learning styles that provide you with diverse
online learning experiences and effective learning processes. The key purpose of this module
is to expose you basic sociological concepts and knowledge enough to illuminate your interest in social sciences and particularly sociology. The intention is to equip you with the
necessary intellectual infrastructure to analyze societal structures and processes with the aim of creating and furthering positive reform
103 Pages
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Uploaded: 2022-04-19
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UCI 204: Relational database management systems
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It contains all the notes related to database and database management systems.
8857 Views
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1.28 MB
Uploaded: 2022-04-19
LESSON 8: MUTUALLY EXCLUSIVE AND EXHAUSTIVE EVENTS; AND PROBABILITY
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In this lesson we will discuss mutually exclusive and exhaustive events, and also
probability.
8 Pages
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132.5 KB
Uploaded: 2022-04-19
LESSON 5: MOMENTS
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Moments are popularly used to describe the characteristics of a distribution and are measured about a point.
9 Pages
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198.8 KB
Uploaded: 2022-04-19
LESSON 4: MEASURES OF DISPERSION
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The measures of central tendency are not sufficient measures to reveal the shape of the distribution of data set. The measures that show the spread of a data set are called the measures of dispersion. The main measures of dispersion are range, inter quartile range, standard deviation, variance and coefficient of variation. In this lesson we will discuss these measures of dispersion.
9 Pages
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210.71 KB
Uploaded: 2022-04-19
LESSON 1: DEFINITION OF STATISTICS, DATA COLLECTION AND DATA PRESENTATION TECHNIQUES
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Statistics is the science of data. This involves collecting, classifying, summarizing,
organizing, analyzing, and interpreting numerical information.
7 Pages
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Uploaded: 2022-04-19
LESSON 2: MEASURES OF CENTRAL TENDENCY
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One of main objectives of statistical analysis is to obtain one single value that describes the characteristic of the entire mass of unwieldy data. Such a value is called the central value or average value. In this lesson we will consider some of central values which are commonly used.
8 Pages
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Uploaded: 2022-04-19
LESSON 3: MEASURES OF CENTRAL TENDENCY cont..
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In this lesson we will discuss the other measures of location or measures of central tendency namely, geometric mean, harmonic mean, median and mode of given data.
10 Pages
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246.31 KB
Uploaded: 2022-04-19
THEORIES OF LANGUAGE ACQUISITION
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Over the last fifty years, several theories have been put forward to explain the process by which children learn to understand and speak a language. They can be summarised as follows:
4 Pages
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Uploaded: 2022-04-19
SZL 105: LABORATORY METHODS AND TECHNIQUES IN ZOOLOGY
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A laboratory is a closed or isolated environment where scientific experiments and procedures are carried out. Laboratory studies are applied in all areas of science namely. Physics, chemistry,biology, agriculture, health, environment, geology, mining among others.
31 Pages
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11 Downloads
681.05 KB
Uploaded: 2022-04-19
SST 305: Theory of Estimation Notes
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The objective of statistics is to make an inference about a population based on information contained in a sample. Most statistical inference procedures involve either estimation or hypothesis testing. This course looks at estimation.
41 Pages
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7 Downloads
3.41 MB
Uploaded: 2022-04-19
SMA 335: Ordinary Differential Equation 1
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The subject of differential equations constitutes a very important and useful branch of
modern m mathematics. In this lesson we sh all consider some definition of ordinary
differential equations.
156 Pages
8642 Views
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2.32 MB
Uploaded: 2022-04-19
LESSON 7: REGRESSION AND CORRELATION ANALYSIS
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In this lesson we will discuss regression and correlation. Correlation analysis deals with the association between two or more variables; while regression analysis attempts to establish the nature of the relationship between variables.
11 Pages
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1 Downloads
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Uploaded: 2022-04-19
LESSON 6: SKEWNESS AND KURTOSIS
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Skewness refers to lack of symmetry. A skewed distribution is a frequency distribution that is asymmetric (not symmetric). When the longer tail of a distribution extends to the right, it is said to be skewed to the right and when the longer tail of a distribution extends to the left, it said to be skewed to the left.
9 Pages
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Uploaded: 2022-04-19
TISSUES
Cells are the body's smallest functional units they are grouped together to form tissues, each of which has specialized functions eg blood, muscles
105 Pages
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DIFFERENTIAL EQUATIONS OF THE FIRST ORDER
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The order of a differential equation is that of the highest derivative occurring in it; the degree of a differential equation is that to which the derivative of the highest order is raised when the equation is expressed in a rational integral form.
43 Pages
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1 MB
Uploaded: 2022-04-19
PUBLIC FINANCE
Public finance management in kenya is covered in the constitution of kenya 2010, chapter 12 and public finance management act, 2012. this act of parliament provides effective manage ment of public finances by the national and county government; the oversight responsibility of parliament and county assemblies; the different responsibilities of government entities and other bodies and for connected purposes
1 Pages
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Uploaded: 2022-04-19
AGD 100: INTRODUCTION TO GENDER DEVELOPMENT STUDIES
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The differences between women and men within the same households and between cultures that are socially and culturally constructed and change over time. The differences are reflected in: roles, responsibilities, access to and control over resources, constraints, opportunities, needs, perceptions, views etc, held by men and women.
46 Pages
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Uploaded: 2022-04-19
DATA MINING TECHNIQUES
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The paper presents application of data mining techniques to fraud analysis. We
present some classification and prediction data mining techniques which we
consider important to handle fraud detection. There exist a number of data
mining algorithms and we present statistics-based algorithm, decision treebased algorithm and rule-based algorithm. We present Bayesian classification model to detect fraud in automobile insurance. Naïve Bayesian visualization is selected to analyze and interpret the classifier predictions. We illustrate how ROC curves can be deployed for model assessment in order to provide a more intuitive analysis of the models
21 Pages
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Uploaded: 2022-04-19
AGD 303: GENDER AND ENVIRONMENTAL MANAGEMENT
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The purpose of the course is to discuss the concepts that are essential to the subject of natural resource and environmental management and relate them to gendered understanding of environmental challenges and solutions. We hope that you will find this module exciting, educative, and engaging.
61 Pages
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2.37 MB
Uploaded: 2022-04-19