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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>Learn Something New</title><link>https://www.spreaker.com/podcast/learn-something-new--7116000</link><description><![CDATA[Each episode breaks down a new topic in an engaging and accessible way, making learning enjoyable for students, professionals, and curious minds alike.]]></description><atom:link href="https://www.spreaker.com/show/7116000/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Education</category><copyright>Copyright Marthinusbaloyi</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg</url><title>Learn Something New</title><link>https://www.spreaker.com/podcast/learn-something-new--7116000</link></image><lastBuildDate>Fri, 21 Aug 2026 08:16:18 +0000</lastBuildDate><itunes:author>Marthinusbaloyi</itunes:author><itunes:owner><itunes:name>Marthinusbaloyi</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:subtitle>Each episode breaks down a new topic in an engaging and accessible way, making learning enjoyable for students, professionals, and curious minds alike.</itunes:subtitle><itunes:summary><![CDATA[Each episode breaks down a new topic in an engaging and accessible way, making learning enjoyable for students, professionals, and curious minds alike.]]></itunes:summary><itunes:category text="Education"/><itunes:explicit>false</itunes:explicit><podcast:guid>4a354633-493d-56aa-9227-fa5007433e86</podcast:guid><itunes:type>episodic</itunes:type><item><title>Understanding Mean, Median, Mode, Percentiles &amp; Quartiles</title><link>https://www.spreaker.com/episode/understanding-mean-median-mode-percentiles-quartiles--74444406</link><description><![CDATA[This podcast explores the fundamental measures used to summarize and interpret numerical data, including mean, median, mode, percentiles, and quartiles. It walks through Problem 3-1B, helping learners understand how these measures are calculated and how they describe the center and relative position of values within a dataset. Perfect for students, educators, researchers, and anyone looking to strengthen their foundation in descriptive statistics.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74444406</guid><pubDate>Tue, 13 Oct 2020 15:25:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74444406/statistics_module_3_mean_median_mode_percentiles_and_quartiles_problem_3_1b_ftmvn_dt7y4_2.mp3" length="17811079" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/e66a8966-50dc-4107-9d4a-19bccb6bd5b4/e66a8966-50dc-4107-9d4a-19bccb6bd5b4.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/e66a8966-50dc-4107-9d4a-19bccb6bd5b4/e66a8966-50dc-4107-9d4a-19bccb6bd5b4.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/e66a8966-50dc-4107-9d4a-19bccb6bd5b4/e66a8966-50dc-4107-9d4a-19bccb6bd5b4.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores the fundamental measures used to summarize and interpret numerical data, including mean, median, mode, percentiles, and quartiles. It walks through Problem 3-1B, helping learners understand how these measures are calculated and...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the fundamental measures used to summarize and interpret numerical data, including mean, median, mode, percentiles, and quartiles. It walks through Problem 3-1B, helping learners understand how these measures are calculated and how they describe the center and relative position of values within a dataset. Perfect for students, educators, researchers, and anyone looking to strengthen their foundation in descriptive statistics.]]></itunes:summary><itunes:duration>1114</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Skills That Can Change Your Life</title><link>https://www.spreaker.com/episode/skills-that-can-change-your-life--72597057</link><description><![CDATA[From communication and critical thinking to time management and problem-solving, we explore practical skills that can help you grow personally and professionally.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72597057</guid><pubDate>Sat, 13 Jun 2020 09:50:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72597057/three_scientific_reasons_why_we_dream.mp3" length="15649782" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/2aa33d68-5bc0-449e-b67a-5b5f44d66cd7/2aa33d68-5bc0-449e-b67a-5b5f44d66cd7.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2aa33d68-5bc0-449e-b67a-5b5f44d66cd7/2aa33d68-5bc0-449e-b67a-5b5f44d66cd7.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2aa33d68-5bc0-449e-b67a-5b5f44d66cd7/2aa33d68-5bc0-449e-b67a-5b5f44d66cd7.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>From communication and critical thinking to time management and problem-solving, we explore practical skills that can help you grow personally and professionally.</itunes:subtitle><itunes:summary><![CDATA[From communication and critical thinking to time management and problem-solving, we explore practical skills that can help you grow personally and professionally.]]></itunes:summary><itunes:duration>979</itunes:duration><itunes:keywords>education</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Science of Everyday Things</title><link>https://www.spreaker.com/episode/the-science-of-everyday-things--72597056</link><description><![CDATA[Have you ever wondered how common objects and daily activities work? In this episode, we uncover the fascinating science behind everyday life and reveal the hidden principles all around us.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72597056</guid><pubDate>Mon, 13 Apr 2020 15:15:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72597056/how_your_brain_safely_hallucinates_reality.mp3" length="14837688" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/893f240c-3d1a-48d2-99b3-e67e887383da/893f240c-3d1a-48d2-99b3-e67e887383da.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/893f240c-3d1a-48d2-99b3-e67e887383da/893f240c-3d1a-48d2-99b3-e67e887383da.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/893f240c-3d1a-48d2-99b3-e67e887383da/893f240c-3d1a-48d2-99b3-e67e887383da.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>Have you ever wondered how common objects and daily activities work? In this episode, we uncover the fascinating science behind everyday life and reveal the hidden principles all around us.</itunes:subtitle><itunes:summary><![CDATA[Have you ever wondered how common objects and daily activities work? In this episode, we uncover the fascinating science behind everyday life and reveal the hidden principles all around us.]]></itunes:summary><itunes:duration>928</itunes:duration><itunes:keywords>education</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding Data Distribution</title><link>https://www.spreaker.com/episode/understanding-data-distribution--74444405</link><description><![CDATA[This podcast explores measures of shape and relative location and how they help describe the distribution and position of values within a dataset. It walks through Problem 3-3B, helping learners understand concepts such as skewness, percentiles, z-scores, and the relative standing of individual observations. Perfect for students, educators, researchers, and anyone looking to strengthen their understanding of descriptive statistics and data interpretation.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74444405</guid><pubDate>Tue, 17 Mar 2020 12:35:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74444405/statistics_module_3_measures_of_shape_and_relative_location_problem_3_3b_xalckkkuhvy.mp3" length="25759822" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/65500167-7389-4c00-b146-707ee0ef425d/65500167-7389-4c00-b146-707ee0ef425d.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/65500167-7389-4c00-b146-707ee0ef425d/65500167-7389-4c00-b146-707ee0ef425d.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/65500167-7389-4c00-b146-707ee0ef425d/65500167-7389-4c00-b146-707ee0ef425d.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores measures of shape and relative location and how they help describe the distribution and position of values within a dataset. It walks through Problem 3-3B, helping learners understand concepts such as skewness, percentiles,...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores measures of shape and relative location and how they help describe the distribution and position of values within a dataset. It walks through Problem 3-3B, helping learners understand concepts such as skewness, percentiles, z-scores, and the relative standing of individual observations. Perfect for students, educators, researchers, and anyone looking to strengthen their understanding of descriptive statistics and data interpretation.]]></itunes:summary><itunes:duration>1610</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Measuring Relationships Between Two Variables</title><link>https://www.spreaker.com/episode/measuring-relationships-between-two-variables--74444404</link><description><![CDATA[This podcast explores how statistical measures can be used to understand and quantify relationships between two variables. It walks through Problem 3-4B, introducing concepts such as correlation, association, and interpreting the strength and direction of relationships within datasets. Perfect for students, educators, researchers, business analysts, and anyone developing practical skills in statistical data analysis.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74444404</guid><pubDate>Sun, 15 Apr 2018 06:07:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74444404/statistics_module_3_measures_of_relationships_between_two_variables_problem_3_4b_eo_43brcgke.mp3" length="28008450" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/2a77832f-eb53-4267-a9e1-c6c0c9977ecd/2a77832f-eb53-4267-a9e1-c6c0c9977ecd.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2a77832f-eb53-4267-a9e1-c6c0c9977ecd/2a77832f-eb53-4267-a9e1-c6c0c9977ecd.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2a77832f-eb53-4267-a9e1-c6c0c9977ecd/2a77832f-eb53-4267-a9e1-c6c0c9977ecd.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores how statistical measures can be used to understand and quantify relationships between two variables. It walks through Problem 3-4B, introducing concepts such as correlation, association, and interpreting the strength and...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how statistical measures can be used to understand and quantify relationships between two variables. It walks through Problem 3-4B, introducing concepts such as correlation, association, and interpreting the strength and direction of relationships within datasets. Perfect for students, educators, researchers, business analysts, and anyone developing practical skills in statistical data analysis.]]></itunes:summary><itunes:duration>1751</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding Relationships in Statistics</title><link>https://www.spreaker.com/episode/understanding-relationships-in-statistics--74444408</link><description><![CDATA[This podcast explores statistical methods for measuring and interpreting relationships between two variables. It walks through Problem 3-4B, helping learners understand correlation, the strength and direction of associations, and how relationships between variables can be analyzed using statistical data. Perfect for students, educators, researchers, business analysts, and anyone developing practical data analysis skills.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74444408</guid><pubDate>Thu, 13 Jul 2017 07:40:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74444408/statistics_module_3_measures_of_relationships_between_two_variables_problem_3_4b_eo_43brcgke_2.mp3" length="22302053" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/fcb3e150-6870-40c3-9eaf-452212224640/fcb3e150-6870-40c3-9eaf-452212224640.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/fcb3e150-6870-40c3-9eaf-452212224640/fcb3e150-6870-40c3-9eaf-452212224640.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/fcb3e150-6870-40c3-9eaf-452212224640/fcb3e150-6870-40c3-9eaf-452212224640.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores statistical methods for measuring and interpreting relationships between two variables. It walks through Problem 3-4B, helping learners understand correlation, the strength and direction of associations, and how relationships...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores statistical methods for measuring and interpreting relationships between two variables. It walks through Problem 3-4B, helping learners understand correlation, the strength and direction of associations, and how relationships between variables can be analyzed using statistical data. Perfect for students, educators, researchers, business analysts, and anyone developing practical data analysis skills.]]></itunes:summary><itunes:duration>1394</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Shape, Position &amp; Relative Location in Statistics</title><link>https://www.spreaker.com/episode/shape-position-relative-location-in-statistics--74444403</link><description><![CDATA[This podcast explores measures of shape and relative location and how they help describe the distribution and position of data within a dataset. It walks through Problem 3-3B, covering concepts such as skewness, percentiles, z-scores, and other techniques for interpreting how individual values compare with the overall distribution. Perfect for students, educators, researchers, and anyone looking to strengthen their understanding of descriptive statistics and data interpretation.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74444403</guid><pubDate>Thu, 14 Apr 2016 13:30:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74444403/statistics_module_3_measures_of_shape_and_relative_location_problem_3_3b_xalckkkuhvy_2.mp3" length="26706082" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/605d5b9f-73e0-42ae-b58f-760dca5551cf/605d5b9f-73e0-42ae-b58f-760dca5551cf.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/605d5b9f-73e0-42ae-b58f-760dca5551cf/605d5b9f-73e0-42ae-b58f-760dca5551cf.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/605d5b9f-73e0-42ae-b58f-760dca5551cf/605d5b9f-73e0-42ae-b58f-760dca5551cf.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores measures of shape and relative location and how they help describe the distribution and position of data within a dataset. It walks through Problem 3-3B, covering concepts such as skewness, percentiles, z-scores, and other...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores measures of shape and relative location and how they help describe the distribution and position of data within a dataset. It walks through Problem 3-3B, covering concepts such as skewness, percentiles, z-scores, and other techniques for interpreting how individual values compare with the overall distribution. Perfect for students, educators, researchers, and anyone looking to strengthen their understanding of descriptive statistics and data interpretation.]]></itunes:summary><itunes:duration>1670</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
