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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>Pages &amp; Perspectives</title><link>https://www.spreaker.com/podcast/pages-perspectives--7275659</link><description><![CDATA[Explore books from different perspectives, uncovering powerful themes, memorable characters, and the ideas that make great stories worth discussing.]]></description><atom:link href="https://www.spreaker.com/show/7275659/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Books</category><copyright>Copyright Marthinusbaloyi</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg</url><title>Pages &amp; Perspectives</title><link>https://www.spreaker.com/podcast/pages-perspectives--7275659</link></image><lastBuildDate>Fri, 21 Aug 2026 12:03:41 +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/yellow_square_mic.jpg"/><itunes:subtitle>Explore books from different perspectives, uncovering powerful themes, memorable characters, and the ideas that make great stories worth discussing.</itunes:subtitle><itunes:summary><![CDATA[Explore books from different perspectives, uncovering powerful themes, memorable characters, and the ideas that make great stories worth discussing.]]></itunes:summary><itunes:category text="Arts"><itunes:category text="Books"/></itunes:category><itunes:explicit>false</itunes:explicit><podcast:guid>59067556-9f69-5dbb-9fd7-77ea50e8d389</podcast:guid><itunes:type>episodic</itunes:type><item><title>The Power of a Different Perspective</title><link>https://www.spreaker.com/episode/the-power-of-a-different-perspective--74251648</link><description><![CDATA[The same story can feel completely different depending on who tells it. We explore how authors use different viewpoints, experiences, and voices to challenge assumptions and broaden our understanding.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74251648</guid><pubDate>Wed, 13 Feb 2019 05:15:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74251648/why_fiction_is_the_ultimate_empathy_machine.mp3" length="18216470" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/4d848143-b8fe-40a9-bf67-c3bf06478284/4d848143-b8fe-40a9-bf67-c3bf06478284.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/4d848143-b8fe-40a9-bf67-c3bf06478284/4d848143-b8fe-40a9-bf67-c3bf06478284.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/4d848143-b8fe-40a9-bf67-c3bf06478284/4d848143-b8fe-40a9-bf67-c3bf06478284.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>The same story can feel completely different depending on who tells it. We explore how authors use different viewpoints, experiences, and voices to challenge assumptions and broaden our understanding.</itunes:subtitle><itunes:summary><![CDATA[The same story can feel completely different depending on who tells it. We explore how authors use different viewpoints, experiences, and voices to challenge assumptions and broaden our understanding.]]></itunes:summary><itunes:duration>1139</itunes:duration><itunes:keywords>book</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Why Stories Stay With Us</title><link>https://www.spreaker.com/episode/why-stories-stay-with-us--74251649</link><description><![CDATA[Some books entertain us, while others change the way we see the world. In this episode, we explore why certain stories remain in our minds long after the final page and what makes them truly unforgettable.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74251649</guid><pubDate>Tue, 16 Oct 2018 06:35:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74251649/real_emotions_for_fictional_people.mp3" length="17654315" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/494e1f77-f566-4e8a-ad63-fed514e0211f/494e1f77-f566-4e8a-ad63-fed514e0211f.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/494e1f77-f566-4e8a-ad63-fed514e0211f/494e1f77-f566-4e8a-ad63-fed514e0211f.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/494e1f77-f566-4e8a-ad63-fed514e0211f/494e1f77-f566-4e8a-ad63-fed514e0211f.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>Some books entertain us, while others change the way we see the world. In this episode, we explore why certain stories remain in our minds long after the final page and what makes them truly unforgettable.</itunes:subtitle><itunes:summary><![CDATA[Some books entertain us, while others change the way we see the world. In this episode, we explore why certain stories remain in our minds long after the final page and what makes them truly unforgettable.]]></itunes:summary><itunes:duration>1104</itunes:duration><itunes:keywords>book</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Expected Value &amp; Variance Explained</title><link>https://www.spreaker.com/episode/expected-value-variance-explained--74450329</link><description><![CDATA[This podcast explores expected value and variance as fundamental concepts for describing the center and variability of a probability distribution. It walks through Problem 5-3C, helping learners understand how to calculate the expected value of a random variable and measure how far possible outcomes vary from that expected value. Perfect for students, educators, researchers, data analysts, and anyone looking to strengthen their understanding of probability and statistical analysis.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74450329</guid><pubDate>Fri, 13 Apr 2018 07:25:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74450329/statistics_module_5_expected_value_and_variance_problem_5_3c_8dqbsrcnu00.mp3" length="17674388" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/d492a052-e133-41b5-b2ff-5faf00752f72/d492a052-e133-41b5-b2ff-5faf00752f72.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d492a052-e133-41b5-b2ff-5faf00752f72/d492a052-e133-41b5-b2ff-5faf00752f72.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/d492a052-e133-41b5-b2ff-5faf00752f72/d492a052-e133-41b5-b2ff-5faf00752f72.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores expected value and variance as fundamental concepts for describing the center and variability of a probability distribution. It walks through Problem 5-3C, helping learners understand how to calculate the expected value of a...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores expected value and variance as fundamental concepts for describing the center and variability of a probability distribution. It walks through Problem 5-3C, helping learners understand how to calculate the expected value of a random variable and measure how far possible outcomes vary from that expected value. Perfect for students, educators, researchers, data analysts, and anyone looking to strengthen their understanding of probability and statistical analysis.]]></itunes:summary><itunes:duration>1105</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding the Poisson Distribution</title><link>https://www.spreaker.com/episode/understanding-the-poisson-distribution--74450330</link><description><![CDATA[This podcast explores the Poisson probability distribution and how it is used to model the number of events occurring within a fixed interval of time, space, or another measurable unit. It walks through Problem 5-6A, helping learners understand event rates, probability calculations, and the assumptions behind Poisson models. Perfect for students, educators, researchers, data analysts, and anyone looking to strengthen their practical understanding of probability distributions.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74450330</guid><pubDate>Sat, 09 Apr 2016 18:10:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74450330/statistics_module_5_poisson_probability_distribution_problem_5_6a_ab7kmvadusy.mp3" length="16236613" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/7a628fbc-97c4-4f2d-a10e-9ae45955b801/7a628fbc-97c4-4f2d-a10e-9ae45955b801.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/7a628fbc-97c4-4f2d-a10e-9ae45955b801/7a628fbc-97c4-4f2d-a10e-9ae45955b801.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/7a628fbc-97c4-4f2d-a10e-9ae45955b801/7a628fbc-97c4-4f2d-a10e-9ae45955b801.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores the Poisson probability distribution and how it is used to model the number of events occurring within a fixed interval of time, space, or another measurable unit. It walks through Problem 5-6A, helping learners understand event...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the Poisson probability distribution and how it is used to model the number of events occurring within a fixed interval of time, space, or another measurable unit. It walks through Problem 5-6A, helping learners understand event rates, probability calculations, and the assumptions behind Poisson models. Perfect for students, educators, researchers, data analysts, and anyone looking to strengthen their practical understanding of probability distributions.]]></itunes:summary><itunes:duration>1015</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding the SAP Business One Audit Trail Report</title><link>https://www.spreaker.com/episode/understanding-the-sap-business-one-audit-trail-report--74450354</link><description><![CDATA[This podcast explores the Audit Trail Report in SAP Business One SP2408 and how it supports transparency, accountability, and monitoring of changes within business records. It helps learners and SAP Business One users understand how audit information can be reviewed to track changes, investigate activities, and support internal controls and compliance requirements. Perfect for SAP consultants, accountants, auditors, administrators, business owners, and professionals working with ERP systems.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74450354</guid><pubDate>Tue, 15 Mar 2016 14:15:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74450354/audit_trail_report_in_sap_business_one_sp2408_ypaa6d8w_bw.mp3" length="29914720" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/4eaf6655-2201-448e-9284-ce882bd5450d/4eaf6655-2201-448e-9284-ce882bd5450d.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/4eaf6655-2201-448e-9284-ce882bd5450d/4eaf6655-2201-448e-9284-ce882bd5450d.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/4eaf6655-2201-448e-9284-ce882bd5450d/4eaf6655-2201-448e-9284-ce882bd5450d.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores the Audit Trail Report in SAP Business One SP2408 and how it supports transparency, accountability, and monitoring of changes within business records. It helps learners and SAP Business One users understand how audit information...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the Audit Trail Report in SAP Business One SP2408 and how it supports transparency, accountability, and monitoring of changes within business records. It helps learners and SAP Business One users understand how audit information can be reviewed to track changes, investigate activities, and support internal controls and compliance requirements. Perfect for SAP consultants, accountants, auditors, administrators, business owners, and professionals working with ERP systems.]]></itunes:summary><itunes:duration>1870</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding Discrete Distributions</title><link>https://www.spreaker.com/episode/understanding-discrete-distributions--74450331</link><description><![CDATA[This podcast explores discrete probability distributions and how they describe the possible values of a discrete random variable and the probability associated with each outcome. It walks through Problem 5-2A, helping learners understand probability distributions, random variables, expected outcomes, and how to interpret discrete probability models. Perfect for students, educators, researchers, data analysts, and anyone building a strong foundation in probability and statistical reasoning.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74450331</guid><pubDate>Thu, 12 Feb 2015 11:05:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74450331/statistics_module_5_discrete_probability_distributions_problem_5_2a_7r0begss0do.mp3" length="19929284" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/20d98356-6642-4542-b63e-83621f3e52bd/20d98356-6642-4542-b63e-83621f3e52bd.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/20d98356-6642-4542-b63e-83621f3e52bd/20d98356-6642-4542-b63e-83621f3e52bd.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/20d98356-6642-4542-b63e-83621f3e52bd/20d98356-6642-4542-b63e-83621f3e52bd.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores discrete probability distributions and how they describe the possible values of a discrete random variable and the probability associated with each outcome. It walks through Problem 5-2A, helping learners understand probability...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores discrete probability distributions and how they describe the possible values of a discrete random variable and the probability associated with each outcome. It walks through Problem 5-2A, helping learners understand probability distributions, random variables, expected outcomes, and how to interpret discrete probability models. Perfect for students, educators, researchers, data analysts, and anyone building a strong foundation in probability and statistical reasoning.]]></itunes:summary><itunes:duration>1246</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
