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Question.1860 - This week marks the end of our learning journey! We have learned about descriptive and inferential statistics and - hopefully - challenged ourselves to think about how statistics can help us in our current/future careers. As we begin to prepare for Exam 3 and the cumulative final, I thought it would be great to use this discussion board as a space to ask questions, answer questions, share similar frustrations, etc.! For the initial post, please share 2-3 concepts/tests you learned about. You can ask questions, share definitions of specific concepts and/or tests, and offer helpful tips for your colleagues to better understand material from chapters 1-10. Have a jingle to help you remember key concepts? Share it! Have a creative way of organizing the content (e.g., poster, flash cards)? Let us know!

Answer Below:

I xxxxxxx learning xxxxxxxxxx throughout xxx semester xxxxx from xxx basics xx statistics xxxx and xxx statistics xxxxxx be xxxx till xxxxxxx correlation xxx regression x enjoyed xxxxxxx with xxxx analyzing xxx interpreting xxxx Two xx the xxxx exciting xxxxxxxx were xx Chapter xxx graphical xxxxxxxxxxxxxx of xxxx and xxxxxxx Measures xx central xxxxxxxx and xxxxxxxxxx In xxxxxxx I xxxxxxx about xxxxxxxxxx and xxxxxxxxxxx data xxxxxxxxx distribution xxxxx count xxx number xx data xxxx provided xx find xxx percentages xxx proportions x also xxxxxxx about xxx terminologies xxxxxxxxxx frequency xxxxxxxxxxxx which xxxxx the xxx of xxxxxxxxxxx and xxx the xxxxxx below xxxx and xxxxxxxxxx percentage xxxxxxxxxxxx which xxxxx the xxxxxxxxxx of xxxxxxxxxxx and xxx the xxxxxx below xxxx Chapter xxxx discusses xxx graphical xxxxxxxxxxxx Some xxxxxxx pie xxxxxx line xxxxxx histograms xxx graphs xxx time xxxxxx charts xxxxx graphs xxxxxxxxx the xxxxxxx of xxxx With xxxxxxx to xxxxxxx I xxxxxxx about xxx three xxxxxxxx of xxxxxxx tendency xxx five xxxxxxxx of xxxxxxxxxx Mean xx the xxxxxxx of xxx data xxxxxx is xxx middle xxxxxx of xxxx and xxxx is xxx frequency xx a xxxxxx in xxx data xxxxx variance xxxxxxxx deviation xxxxx of xxxxxxx variation xxx interquartile xxxxx are xxx measures xx dispersion xxxxxxx It xxx a xxxxx learning

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