Using Statistical Software and Summarizing Data

by Osama, Muhammad

Medical Statistics

Your browser is too old

We can't provide a great video experience on old browser

Update now
Uowxhuvxq0wwb8rzsdef 180807 s0 osama muhammad using statistical software and summarizing data intro
02:04
Using Statistical Software and Summarizing Data
27ft4yntgatdy8duq5sc 180807 s1 osama muhammad statistical software packages
13:22
Statistical Software Packages
Ikhyujsdrro5cflknh1x 180807 s2 osama muhammad planning the analysis
09:29
Planning the Analysis
Hbgn1nehs62c3kh4gs2k 180807 s3 osama muhammad types of data
16:28
Types of Data
8zf6dba5r8ewapbqkxyf 180807 s4 osama muhammad summarizing quantitative and categorical data
18:39
Summarizing Quantitative and Categorical Data
Kzbovjjds7yfoeuvhhyo 180807 s5 osama muhammad diagrams and graphs
12:12
Diagrams and Graphs

Lecture´s Description

Statistical Software Packages
In this lecture ´´Using Statistical Software and Summarizing Data´´ is explained. Section one is 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 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 on, 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
Section four is about ‘’Summarizing Quantitative and Categorical Data’’. In the beginning, educator tells the purpose of summarizing data. Then gives information about summarizing quantitative data. This is followed by thorough explanation of mean, median, and mode. After that standard deviation is discussed. Subsequently, range is elucidated along with inter-quartile range. Furthermore, percentiles are focused. Next focus is choosing summary measure for quantitative data. Afterwards, centre of distribution is highlighted. This is followed by spread of distribution. The discussion continues on summarizing categorical data. Moving onward, unordered categories (nominal data) are presented. Then ordered categories (ordinal data) are reported. Finally, 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 categorical data is elaborated. Then bar charts and pie charts come under consideration. Both of them are discussed in detail. Lastly, educator gives information on producing charts. Educator tells that producing charts both bar and pie charts can be easily produced using software packages.

Studies have shown that V-Learning™ increases student's learning and passing rate Significantly.

Studies have shown that V-Learning™ increases student's learning and passing rate Significantly.

100% satisfaction guaranteed, join us & boost your medical Knowledge