# Using Statistical Software and Summarizing Data

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Update now 02:03
Using Statistical Software and Summarizing Data 13:22
Statistical Software Packages 09:29
Planning the Analysis 16:28
Types of Data 18:39
Summarizing Quantitative and Categorical Data 12:12
Diagrams and Graphs

Lecture´s Description

Want to gain a comprehensive explanation on how to use statistical software? We present this sqadia.com medical video lecture, on using statistical software and summarizing data, to serve the purpose. From conversing about various statistical software packages, missing data to variable, statistics along with the types of data have been discussed. Moreover, interval and ratio scale, summarizing quantitative and categorical data in conjunction with the types of graphs, positively and negatively skewed data has been expansively talked about.

## Statistical Software Packages

Educator starts this section with statistical software packages. Then moves to telling what do statistical packages do? Following this, explanation is given on how packages work? After that menu-driven packages are discussed. Subsequently, command-driven packages are pursued. Furthermore, elucidation of using a package is given. The discussion continues on to transferring data between packages. Lastly, potential problems in transferring data are reported.

## Planning the Analysis

Section two is about ‘’Planning the Analysis’’. Initially, educator talk about planning the analysis. After that information about extracting the relevant results is conveyed. Then missing data is explained. Moreover, educator tells what is variable. In the end, statistic is elaborated.

## Types of Data

Section three is about ‘’Types of Data’’. Educator starts this section by introducing quantitative and categorical data. After that quantitative data is discussed in detail. Then interval scale is focused. This is followed by ratio scale. Later, ordinal data is explained. Moving onward, categorical data comes under consideration. Following this educator gives information on categorical data: ordering. Lastly, categorizing continuous data is thoroughly discussed.

## Summarizing Quantitative and Categorical Data

In the beginning, educator tells the purpose of summarizing data and summarizing quantitative data. This is followed by thorough explanation of mean, median, mode along with the standard deviation, range and inter-quartile range. Furthermore, percentiles, choosing summary measure for quantitative data alongside centre of distribution is highlighted. This is followed by discussion on spread of distribution, summarizing categorical data and unordered categories (nominal data). Then ordered categories (ordinal data) and cross tabulations are discussed.

## Diagrams and Graphs

Section five is about ‘’Diagrams and Graphs’’. Educator's first theme of discussion is histogram. After that stem and leaf plot is explained. Following this, box and whisker plot is presented. Then dot plot is elaborated. Next, shapes of distributions are focused. After that positively skewed data and negatively skewed data are reported respectively. Moving onward, displaying them are discussed in detail. Lastly, educator gives information on producing charts. 