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Hello, Statistic body. I'm yoga. Welcome to

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competition. All statistic subject. Okay, in this

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section I will tell you about data collection, the

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objectives off the session, our definition off data types

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, off data primary and secondary data and the last

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IHS data collection techniques. Okay, Now I start

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from definition off data, as we know from the

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previous chapter that statistics is important and closely related to

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data. Now, I will explain about the definition

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off data itself. In definition one, data are

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plain facts usually roll numbers and in the definition to

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data are individual pieces off, factual information recorded and

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used for the purpose off analysis. So from the

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two definitions, we know that data is the part

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off information. Now, I will explain about types

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off data data is divided into two kinds, namely

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qualitative and quantitative. Qualitative data itself is divided into

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nominal and or denial for quantitative is defected into inter

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file and rescue each off. The inter fall and

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rescue have discrete data and continuous data. Okay,

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Now I will explain more detail about the types off

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data. Qualitative. Okay. Qualitative is a data

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concerned with descriptions which can be observed but cannot be

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computed. And as we know, that qualitative data

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is divided into nominal an orginal scale. No,

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I will explain about the nominal scale nominal scale called

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simply because levels you can check the examples below to

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understand what the nominal is now for the orginal scale

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, the orginal scale have order off the values.

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The order is important and significant, but the differences

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between each one is not really known. And you

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can see the example below. Okay. Now its

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quantitative quantitative is the one that focus on numbers and

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mathematical calculations and can be calculated and computed and quantitative

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. Uh huh. Toe rescue. The first is

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interval scale and interval skills are numbering skills in which

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we know both the order and the exact differences between

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the values and second is ratio skills. Raise your

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skills are data measurement skills because they tell us about

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the order. They tell us the exact value between

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units, and they also have a new absolute zero

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, which allows for a wide range off both descriptive

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and inferential statistics to be applied now I will explain

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about discrete and continuous data for discrete data can only

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take certain values. And that's the example, the

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number off student and the number that appear after you

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rolling dies and continuous data for continuous data can take

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any value within a range. And the examples are

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the first is a person's hey and then the time

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in a race. And then a talks waked and

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the length off a leaf. No, If there's

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a question how we to get the data, the

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answer is they're too option to get data. First

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is get the data by ourselves. For example,

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a researcher conduct some research, and he gathered the

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data by himself. We called the data as primary

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data. Second is Katie data from another source.

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For example, I collect the data from Internet or

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I ask my fellow researcher to give his data.

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The data that I get is called secondary data,

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and there are many techniques to get the data.

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But in this session I only mentioned five techniques,

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namely, record station senses, survey experiment and observation

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. Registration is a method which in places more on

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structured recording through various institutions, and census is a

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complete way off collecting data where all elements in the

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population that are object off the research are investigated or

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enumerated one by one. And then the next ISS

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survey survey is collecting information from a sample group to

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learn about the entire population and next ISS experiment.

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An experimental study has the researcher purposely attempting to influence

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the result. The goal is to do their mind

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what effect a particular treatment has on the outcome.

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Researchers take measurements or surface off the sample population,

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and you can read the example below. No,

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the observational in the observational study, the simple population

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being studied ISS miserable or surveilled as it ISS.

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The researcher observes the subjects and missiles variables but doesn't

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influence the population in any way or attempt to intervene

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in the study. There is no manipulation by the

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researcher, and the last is that those that we

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can use to collect the data. You can use

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questionnaire in their view checklist or any digital tools.

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Okay, I think enough for the session. I

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hope you enjoy that. And CIA