Discussion Note: Demo wireless sensor network using MicaZ Crossbow

Actually after i discuss with Mr. Fajar at his laboratory on sunday, it’s definitely clear about the research interest and focus. Mr. Fajar will develop software generator for facilitate the typology wireless sensor network based on Micaz X-bow, he said that his software will provide easy user interface to make embedded code which it will upload to our device, According to mr fajar information there are consist of 3 kind of device in wsn which it need to embedded code:

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Lecture note Biostatistic #4: Probability

This is my fourth lecture notes about biostatistic, the previous notes, told us about the data presentation ( graphs, polygon, bar chart, histogram and etc. Probability topic will discuss about what happen when we roll a die or tossing a coin, in my opinion this topic will use to help us when we estimate the real distribution in population using several sample. the professor said that this topic is useful to expect the probability when we doing research in large population and doesn’t know about the real population distribution.

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Lecture Note: Presenting Data, tables, graph, summary

This morning is the 3rd meeting in this class, the material is more specific in how to process our data and the objective is we can understand about the whole general future of data.  After we knew about many type of data, the next step is make analysis using tables, graph and summary.

Tables

Tables show the frequency distribution, for nominal and ordinal data, a frequency distribution consist of a set od classes or categories along with numerical counts. If we using tables for our data presentation it will help us to show either summary or details data. the aims of summary data is showing numerical data and dont’ forget to show the number of samples examines, not only presenting the ration but also number of samples.

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Lecture note: Biostatistic #2: Types of Data

This is lecture note for 2nd meeting, Tuesday, Oct 12th 2011. Today we study about Biostatistics and techniques in this kind of knowledge. like the previous post, statistic is the activity involving obtain data, analyze data, and present data.

Statistic is the summary of  information (data) in a meaningful fashion, and its appropriate presentation.

Statistic is the population if a plausible model explaining the mechanism that generates the data, with the ultimate goal to extrapolate and predict data under circumstance beyond the current experiment.

Biostatistic is the segment of statistic that deals with data arising from biological process or medical experiments

We start to know about descriptive statistic, the professor said that this is the point in descriptive statistic

  • A means of organizing and summarizing observations
  • They provide us with an overview of the general futures of data, this point like the quotes above ( predict and forecast).
  • Tables, graphs, and numerical summary measures. Tables and graph is uses for make us easy to understand about the summary that we made.