<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
        xmlns:xhtml="http://www.w3.org/1999/xhtml"
        xmlns:video="http://www.google.com/schemas/sitemap-video/1.1"
        xmlns:image="http://www.google.com/schemas/sitemap-image/1.1">
    
    <url>
        <loc>https://www.khanacademy.org/math/class-12-tg/x6469e28db15923ec:probability/x6469e28db15923ec:independent-and-dependent-events-conditional-probability-multiplication-theorem-and-baye-s-theorem-part-1/v/conditional-probability-using-combinatorics</loc>
        
        <xhtml:link rel="alternate" hreflang="en"
                    href="https://www.khanacademy.org/math/class-12-tg/x6469e28db15923ec:probability/x6469e28db15923ec:independent-and-dependent-events-conditional-probability-multiplication-theorem-and-baye-s-theorem-part-1/v/conditional-probability-using-combinatorics" />
        
        <lastmod>2025-06-01T14:50:00.385158177Z</lastmod>
        
        <PageMap xmlns="http://www.google.com/schemas/sitemap-pagemap/1.0">
            <DataObject type="document" id="conditional-probability-using-combinatorics">
            <Attribute name="title">Conditional probability using combinatorics</Attribute>
            <Attribute name="description">This video demonstrates how to use combinatorics (combinations) to solve conditional probability problems. We&#39;ll work through an example where a committee of 4 students is selected from a group of 8 boys and 4 girls. Given that there is at least one girl on the committee, we will calculate the probability that there are exactly 2 girls on the committee using the conditional probability formula and combinations to find the probabilities of the relevant events.</Attribute>
            <Attribute name="author">Ashish Gupta</Attribute>
            <Attribute name="type">video</Attribute>
            
            </DataObject>
        </PageMap>
        
        <video:video>
            <video:thumbnail_loc>https://cdn.kastatic.org/googleusercontent/ZCdwTudJg6e6n-P2gsaUborP4izvMsGo71pvEVlX9dNYWcLXcP7VHkWpn2grt4TUP1KoJLQP9NswyHBuBLSFTBw</video:thumbnail_loc>
            <video:title>Conditional probability using combinatorics</video:title>
            <video:description>This video demonstrates how to use combinatorics (combinations) to solve conditional probability problems. We&#39;ll work through an example where a committee of 4 students is selected from a group of 8 boys and 4 girls. Given that there is at least one girl on the committee, we will calculate the probability that there are exactly 2 girls on the committee using the conditional probability formula and combinations to find the probabilities of the relevant events.</video:description>
            <video:player_loc>https://cdn.kastatic.org/ka-youtube-converted/Eek402g9kfA.mp4/Eek402g9kfA.mp4</video:player_loc>
            <video:duration>296</video:duration>
            <video:category>Applications of conditional probability</video:category>
        </video:video>
        
    </url>
    
    <url>
        <loc>https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/e/conditional-probability-using-combinatorics</loc>
        
        <xhtml:link rel="alternate" hreflang="en"
                    href="https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/e/conditional-probability-using-combinatorics" />
        
        <lastmod>2025-08-08T02:45:51.78671331Z</lastmod>
        
        <PageMap xmlns="http://www.google.com/schemas/sitemap-pagemap/1.0">
            <DataObject type="document" id="conditional-probability-using-combinatorics">
            <Attribute name="title">Conditional probability using combinatorics</Attribute>
            <Attribute name="description">Conditional probability using combinatorics</Attribute>
            <Attribute name="author">Ashish Gupta</Attribute>
            <Attribute name="type">exercise</Attribute>
            
            </DataObject>
        </PageMap>
        
    </url>
    
    <url>
        <loc>https://www.khanacademy.org/math/class-12-tg/x6469e28db15923ec:probability/x6469e28db15923ec:independent-and-dependent-events-conditional-probability-multiplication-theorem-and-baye-s-theorem-part-1/v/conditional-probability-two-children-problem</loc>
        
        <xhtml:link rel="alternate" hreflang="en"
                    href="https://www.khanacademy.org/math/class-12-tg/x6469e28db15923ec:probability/x6469e28db15923ec:independent-and-dependent-events-conditional-probability-multiplication-theorem-and-baye-s-theorem-part-1/v/conditional-probability-two-children-problem" />
        
        <lastmod>2025-06-01T14:50:00.385158177Z</lastmod>
        
        <PageMap xmlns="http://www.google.com/schemas/sitemap-pagemap/1.0">
            <DataObject type="document" id="conditional-probability-two-children-problem">
            <Attribute name="title">Conditional probability - two children problem</Attribute>
            <Attribute name="description">In this video, we analyze the classic &#34;&#34;two children problem&#34;&#34; using conditional probability, assuming each child is equally likely to be a boy or a girl. We&#39;ll determine the conditional probability that both children are girls given that: (i) the youngest child is a girl, and (ii) at least one of the children is a girl. We&#39;ll list the sample space and identify the relevant events to apply the conditional probability formula.</Attribute>
            <Attribute name="author">Ashish Gupta</Attribute>
            <Attribute name="type">video</Attribute>
            
            </DataObject>
        </PageMap>
        
        <video:video>
            <video:thumbnail_loc>https://cdn.kastatic.org/googleusercontent/ZCdwTudJg6e6n-P2gsaUborP4izvMsGo71pvEVlX9dNYWcLXcP7VHkWpn2grt4TUP1KoJLQP9NswyHBuBLSFTBw</video:thumbnail_loc>
            <video:title>Conditional probability - two children problem</video:title>
            <video:description>In this video, we analyze the classic &#34;&#34;two children problem&#34;&#34; using conditional probability, assuming each child is equally likely to be a boy or a girl. We&#39;ll determine the conditional probability that both children are girls given that: (i) the youngest child is a girl, and (ii) at least one of the children is a girl. We&#39;ll list the sample space and identify the relevant events to apply the conditional probability formula.</video:description>
            <video:player_loc>https://cdn.kastatic.org/ka-youtube-converted/ZcqoMojpfLQ.mp4/ZcqoMojpfLQ.mp4</video:player_loc>
            <video:duration>296</video:duration>
            <video:category>Applications of conditional probability</video:category>
        </video:video>
        
    </url>
    
    <url>
        <loc>https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/v/elementary-events-are-not-equally-likely</loc>
        
        <xhtml:link rel="alternate" hreflang="en"
                    href="https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/v/elementary-events-are-not-equally-likely" />
        
        <lastmod>2025-06-01T14:50:00.385158177Z</lastmod>
        
        <PageMap xmlns="http://www.google.com/schemas/sitemap-pagemap/1.0">
            <DataObject type="document" id="elementary-events-are-not-equally-likely">
            <Attribute name="title">Elementary events are not equally likely</Attribute>
            <Attribute name="description">In this video, we tackle conditional probability problems where the elementary events in the sample space are not equally likely. We&#39;ll analyze experiments like tossing a coin, where subsequent actions (like tossing again or throwing a die) depend on the outcome, leading to varied probabilities for final outcomes. We will calculate conditional probabilities such as the die showing a number greater than 4 given there is at least one tail. Another example involves throwing a die with follow-up actions based on whether a multiple of 3 appears.</Attribute>
            <Attribute name="author">Ashish Gupta</Attribute>
            <Attribute name="type">video</Attribute>
            
            </DataObject>
        </PageMap>
        
        <video:video>
            <video:thumbnail_loc>https://cdn.kastatic.org/googleusercontent/ZCdwTudJg6e6n-P2gsaUborP4izvMsGo71pvEVlX9dNYWcLXcP7VHkWpn2grt4TUP1KoJLQP9NswyHBuBLSFTBw</video:thumbnail_loc>
            <video:title>Elementary events are not equally likely</video:title>
            <video:description>In this video, we tackle conditional probability problems where the elementary events in the sample space are not equally likely. We&#39;ll analyze experiments like tossing a coin, where subsequent actions (like tossing again or throwing a die) depend on the outcome, leading to varied probabilities for final outcomes. We will calculate conditional probabilities such as the die showing a number greater than 4 given there is at least one tail. Another example involves throwing a die with follow-up actions based on whether a multiple of 3 appears.</video:description>
            <video:player_loc>https://cdn.kastatic.org/ka-youtube-converted/cBuAqsQaY_g.mp4/cBuAqsQaY_g.mp4</video:player_loc>
            <video:duration>468</video:duration>
            <video:category>Applications of conditional probability</video:category>
        </video:video>
        
    </url>
    
    <url>
        <loc>https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/e/elementary-events-are-not-equally-likely</loc>
        
        <xhtml:link rel="alternate" hreflang="en"
                    href="https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/e/elementary-events-are-not-equally-likely" />
        
        <lastmod>2025-08-08T02:45:51.78671331Z</lastmod>
        
        <PageMap xmlns="http://www.google.com/schemas/sitemap-pagemap/1.0">
            <DataObject type="document" id="elementary-events-are-not-equally-likely">
            <Attribute name="title">Elementary events are not equally likely</Attribute>
            <Attribute name="description">Elementary events are not equally likely</Attribute>
            <Attribute name="author">Ashish Gupta</Attribute>
            <Attribute name="type">exercise</Attribute>
            
            </DataObject>
        </PageMap>
        
    </url>
    
    <url>
        <loc>https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/v/complementary-events-and-conditional-probability</loc>
        
        <xhtml:link rel="alternate" hreflang="en"
                    href="https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/v/complementary-events-and-conditional-probability" />
        
        <lastmod>2025-06-01T14:50:00.385158177Z</lastmod>
        
        <PageMap xmlns="http://www.google.com/schemas/sitemap-pagemap/1.0">
            <DataObject type="document" id="complementary-events-and-conditional-probability">
            <Attribute name="title">Complementary events and conditional probability</Attribute>
            <Attribute name="description">This video focuses on solving probability problems that involve complementary events (like &#39;not A&#39; or &#39;not B&#39;) in the context of conditional probability. We&#39;ll work through several examples that require using formulas for unions, intersections, and conditional probabilities to find values like P(B complement intersect A) or P(A complement intersect B complement).</Attribute>
            <Attribute name="author">Ashish Gupta</Attribute>
            <Attribute name="type">video</Attribute>
            
            </DataObject>
        </PageMap>
        
        <video:video>
            <video:thumbnail_loc>https://cdn.kastatic.org/googleusercontent/ZCdwTudJg6e6n-P2gsaUborP4izvMsGo71pvEVlX9dNYWcLXcP7VHkWpn2grt4TUP1KoJLQP9NswyHBuBLSFTBw</video:thumbnail_loc>
            <video:title>Complementary events and conditional probability</video:title>
            <video:description>This video focuses on solving probability problems that involve complementary events (like &#39;not A&#39; or &#39;not B&#39;) in the context of conditional probability. We&#39;ll work through several examples that require using formulas for unions, intersections, and conditional probabilities to find values like P(B complement intersect A) or P(A complement intersect B complement).</video:description>
            <video:player_loc>https://cdn.kastatic.org/ka-youtube-converted/3J0KXN9q3z8.mp4/3J0KXN9q3z8.mp4</video:player_loc>
            <video:duration>473</video:duration>
            <video:category>Applications of conditional probability</video:category>
        </video:video>
        
    </url>
    
    <url>
        <loc>https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/e/complementary-events-and-conditional-probability</loc>
        
        <xhtml:link rel="alternate" hreflang="en"
                    href="https://www.khanacademy.org/math/ka-math-class-12/x6f66cbee9a2f805b:probability-ncert-new/x6f66cbee9a2f805b:applications-of-conditional-probability/e/complementary-events-and-conditional-probability" />
        
        <lastmod>2025-08-08T02:45:51.78671331Z</lastmod>
        
        <PageMap xmlns="http://www.google.com/schemas/sitemap-pagemap/1.0">
            <DataObject type="document" id="complementary-events-and-conditional-probability">
            <Attribute name="title">Complementary events and conditional probability</Attribute>
            <Attribute name="description">Complementary events and conditional probability</Attribute>
            <Attribute name="author">Ashish Gupta</Attribute>
            <Attribute name="type">exercise</Attribute>
            
            </DataObject>
        </PageMap>
        
    </url>
    
</urlset>
