Primary data is described as a data originally collected, in essence, the data gathered is afresh and for the first time. Surveys and Experiments are two important statistical techniques used in research and data collection. When the research type is experimental, experiments are considered as a major source of primary data. On the other end, surveys are performed when the research is descriptive in nature. While surveys collected data, provided by the informants, experiments test various … [Read more...]

## Difference Between Questionnaire and Schedule

People quite commonly use questionnaire and schedule interchangeably, due to much resemblance in their nature; however, there are many differences between these two. While a questionnaire is filled by the informants themselves, enumerators fill schedule on behalf of the respondent. The research process is incomplete without collection of data, which starts after identification of research problem and chalking out research design. The researcher should keep in mind that there are two types of … [Read more...]

## Difference Between Exploratory and Descriptive Research

Exploratory research is one which aims at providing insights into and an understanding of the problem faced by the researcher. Descriptive research, on the other hand, aims at describing something, mainly functions and characteristics. The research design is defined as a framework for carrying out research activities in different fields of study. The research design is classified into two important categories i.e. exploratory and conclusive research. Conclusive research is further subdivided … [Read more...]

## Difference Between T-test and ANOVA

There is a thin line of demarcation amidst t-test and ANOVA, i.e. when the population means of only two groups is to be compared, the t-test is used, but when means of more than two groups are to be compared, ANOVA is preferred. T-test and Analysis of Variance abbreviated as ANOVA, are two parametric statistical techniques used to test the hypothesis. As these are based on the common assumption like the population from which sample is drawn should be normally distributed, homogeneity of … [Read more...]

## Difference Between One Way and Two Way ANOVA

When it comes to research, in the field of business, economics, psychology, sociology, biology, etc. the Analysis of Variance, shortly known as ANOVA is an extremely important tool for analysis of data. It is a technique employed by the researcher to make a comparison between more than two populations and help in performing simultaneous tests. There is a two-fold purpose of ANOVA. In one way ANOVA the researcher takes only one factor. As against, in the case of two-way ANOVA, the researcher … [Read more...]

## Difference Between Expression and Equation

In mathematics, you might have encountered the terms expression and equation very often. As both combines number and/or variables, people often misunderstood an expression for an equation. However, these two mathematical terms are not same, and a big difference lies in their arrangement, that explains what they represent. The best way, to identify, whether a given problem is an expression or equation is that if it contains an equal to sign (=) it is an equation. However, if it does not … [Read more...]

## Difference Between Sequence and Series

In mathematics and statistics, the line that demarcates sequence and series are thin and blurred, due to which many think that these terms are one and the same thing. Nevertheless, the notion of sequence differs from series in the sense that sequence refers to an arrangement in the particular order in which related terms follow each other, i.e. it has an identified first unit, second unit, third unit and so forth. When a sequence follows a particular rule, it is called as progression. It is … [Read more...]

## Difference Between Rational and Irrational Numbers

Mathematics is nothing but a number game. A number is an arithmetical value that can be a figure, word or symbol indicating a quantity, which has many implications like in counting, measurements, calculations, labelling, etc. Numbers can be natural numbers, whole numbers, integers, real numbers, complex numbers. Real numbers are further divided into rational numbers and irrational numbers. Rational numbers are the numbers which are integers and fractions On the other end, Irrational numbers … [Read more...]

## Difference Between Discrete and Continuous Data

In statistics, data is defined as the facts and figures collected together for the purpose of analysis. It is divided into two broad categories, qualitative data, and quantitative data. Further, the qualitative data is cannot be measured in terms of numbers and it is sub-divided into nominal and ordinal data. On the other hand, quantitative data is one that contains numerical values and uses range. It is sub-classified as discrete and continuous data. Discrete data contains finite values that … [Read more...]

## Difference Between Independent and Dependent Variable

In statistics, the most often used word is 'variable' which refers to a characteristic that contains the value, which may vary from one entity to another. It is similar to the variables used in other disciplines like science and mathematics. The two most common types of variable are the dependent variable and independent variable. A variable is said to be independent, whose change influence another variable, while if the variable is dependent, it will change in response to the change in some … [Read more...]

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