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In this video, we will see the types of statistics, basically the statistical tools can be classified

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as descriptive or inferential.

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Let us look at them one by one.

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Descriptive statistics.

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As the name suggests, describe the data, for example, if you have a table containing the summary

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of data collected or a chart showing distribution of people belonging to different countries.

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So suppose we have collected data on students who are doing the schools.

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Descriptive statistics on each variable will tell me the age of youngest student, age of older student,

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and how many students belong to which age group and so on.

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By looking at this, I can understand the target audience of the course and probably grade the examples

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so that examples are more meaningful for most of my audience.

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Below is the list of commonly used tools for describing the data.

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We will discuss them in detail in the coming lectures.

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I will just read them out for now.

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First are the measures of center.

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That is.

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These will tell you where the center of the data.

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One such center as you may be doing is average value, which is also known as mean others Interzone

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median and more than the measures of dispersion.

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How dispersed is our data or how distributed is it?

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Range and standard deviation are two values which tell us about this.

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Then we will discuss frequency distributions for qualitative data and also discuss budgets, which are

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used to display frequency distribution graphically.

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Similarly for quantitative data, we will discuss histograms.

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Singing babies inferential statistics.

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As the name suggests, this is used to make inferences from the data.

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So usually we have a sample of observations and bases.

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These observations, we may want to make decisions or predictions about other cases of the population.

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There are several inferential techniques available below the smallest of four such techniques, since

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this is, of course, about regression, we will be covering only the last one, which is a regression.

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We will also be covering the basic descriptive statistic tools, because you must know these.