======Coin Toss Genetics====== **Materials: **{{$demo.materials_description}}\\ **Difficulty: **{{$demo.difficulty_description}}\\ **Safety: **{{$demo.safety_description}}\\ \\ **Categories:** {{$demo.categories}} \\ **Alternative titles:** Genetic Probability with Coins ====Summary==== {{$demo.summary}} ====Procedure==== - Begin with probability exercises: predict the chance of heads or tails in single and double coin tosses, then test and record results. - With a partner, toss two coins simultaneously to simulate gametes combining. Record results as possible genotypes (AA, Aa, aa). - Repeat coin tosses until 100 results are obtained, then total the genotypes. - Combine class results for larger data sets. - Determine phenotypic ratios: dominant phenotype (AA + Aa) versus recessive phenotype (aa). - Compare actual ratios with the predicted Mendelian 3:1 ratio. - Discuss sources of variation between predicted and observed results. ====Links==== Coin Flip Heredity Video Explanation - Robert Woodruff: {{youtube>KkVmY49XBpA?}}\\ 📄 Coin Toss Genetics - Southern Biological: [[https://www.southernbiological.com/coin-toss-genetics/?srsltid=AfmBOop-S1S90zzuPRzqqxtA5uaHmZ9pa81wlcJeid4R_mXFvTdbaPBU]]\\ ====Variations==== * Increase the number of tosses to see how ratios approach expected probabilities. * Simulate a dihybrid cross using two different types of coins. * Use dice instead of coins to simulate multiple alleles or more complex inheritance. ====Safety Precautions==== * Ensure coins are handled safely (no throwing). * Emphasize accurate recording of data rather than competition. ====Questions to Consider==== * Why do actual coin toss results sometimes differ from predicted ratios? (Because of chance variation in small sample sizes.) * How does increasing the number of trials affect the accuracy of results? (Larger data sets reduce the effect of chance and approximate theoretical ratios more closely.) * How does tossing a coin represent meiosis and allele segregation? (Each coin side represents one allele randomly assigned to a gamete.) * Why do we use probability to predict inheritance patterns? (Genetic crosses follow probability rules because allele distribution is random.) * How could this model be extended to study more complex inheritance patterns? (By using multiple coins or dice to simulate dihybrid or polygenic traits.)