Session Sixteen

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10 Terms

1
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Is the electromagnetic spectrum regulated?

Very strictly regulated electromagnetic channels  

  • Highest bidders are willing to pay even up to $13M to get the ability to use these channels 

    • Version, AT&T, T Mobile  

2
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What are the three reasons why we are interested in electromagnetic waves?

  • travel long distance w/lim power supply

  • can penetrate obstacles

  • slow attenuation = eweaken slowly over time over distance

3
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1G

Analog cell networks for voice comm  

  • Don't have to stay at your desk  

  • Big clunky phones  

  • Analog = voice recorded with device sim to tape recorder so voice quality low, security low, expense high  

4
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2G

digi wireless networks primarily for voice comm lim data capability  

  • Voice recording via more mp3 device so better vocal quality  

  • 2g tower is very tall steel looking tower = might disguise them through tree like vibes  

5
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3G

high speed mobile supports vid and other rich media always on transmission for email web browing instant message  

  • Max speed 144 kbps – 2 mbps 

  • narrow band v broad band 

    • Dedicated add broadwith for data communication 

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4G

the thing here is packet switching fastest best mobility support  

  • Max speed 100 mbps –1 gbps 

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5G

  • current standards, low latency, up to 20 gbps  

    • Most common standard reqs faster connection speed and lower latency (delay) 

    • Each country dif vibes for this the above point is the most common stuff between  

    • Use channels w/no traffic = improves speeds –but why haven't we done this before? 

      • Bc only electromagnetic can go long distance and penetrate objects  

8
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How did billy outpreform alice in each of the yrs but underpreform her overall?

  • Depending on the analysis your data analysis team can slice and dice the data in certain ways so you should know what questions to ask  

  • This is called the simpsons paradox 

9
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Simpsons paradox

when discovering gender gap at UC Berkley in 1973 = female applicants lower admission rate but when look at data by dept other way around male applicants harder to get into dept  

10
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Why do we use two way data tables and data anlaysis

We don't have the tools to handle data past two ways