A Detailed Lesson Plan in Biology I. Objectives: At the end of the lesson‚ students are expected to: a. use a Punnett Square to solve monohybrid crosses; b. employ the steps for solving monohybrid cross using the Punnett Square; and c. determine the genotypes and phenotypes of the offspring; II. Subject Matter: a. Topic: Monohybrid Cross Using a Punnett Square b. Reference: * Exploring Life through Science – Biology By: John Donnie Ramos‚ et. Al. pp. 381-397
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How does the concept of chance relate to knowledge and knowing? When did something happen to you unexpectedly or by chance? A good number of things in everyday life might seem like a coincidence‚ or a lucky chance‚ also known as serendipity. Chance affects our everyday thinking. How much safer is it to travel by car than by bike? Should I drink another beer? Should I take a risk? We might claim we know something if it is very likely or highly probable. For example‚ in your study of science you
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1 Introduction of Probability Instructor: 1. In a poll‚ respondents were asked if they have traveled to Europe. 68 respondents indicated that they have traveled to Europe and 124 respondents said that they have not traveled to Europe. If one of these respondents is randomly selected‚ what is the probability of getting someone who has traveled to Europe? Outcome: selecting someone who has been to Europe 68 and not been to Europe 124. Probabilities: P (traveled to Europe)
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The T-Distribution and T-Test “In probability and statistics‚ Student ’s t-distribution (or simply the t-distribution) is a continuous probability distribution that arises when estimating the mean of a normally distributed population in situations where the sample size is small” (Narasimhan ‚ 1996). Similar to the normal distribution‚ the t-distribution is symmetric and bell-shaped‚ but has heavier tails‚ meaning that it is more likely to produce values far from its mean. This makes the t-distribution
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suspended and where just about anything can happen. One way they show this is by defying the laws of probability. Rosencrantz and Guildenstern flip coins‚ only to find that more than a hundred heads turn up repeatedly. The irony applied there is that probability of “coins” (Rosencrantz‚ Act I) landing on a specific side is generally 50-50‚ something less than absolute as the scene makes the coins appear. However‚ by having that many heads turn up‚ it makes the illusion of absolute truth appear tangible
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coined the term probability‚ or probabilis? (Latin: probabilis credible) Cicero’s principal legacy in the field of randomness is the term he used‚ probabilis‚ which is the origin of the term we employ today. But it is one part of the Roman code of law‚ the Digest‚ compiled by Emperor Justinian in the sixth century‚ that is the first document in which probability appears as an everyday term of art 2. What is the rule for compounding probabilities? How to compute probability that one event and
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first coin flipping section. Guildenstern says to Rosencrantz “This is not the first time we have spun coins!” to which Rosencrantz replies “Oh‚ no---we’ve
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what it is‚ and the fact that though they may not have believed in it before it appears to be acting upon them now. In the beginning of the play the two play a coin game in which one of them flips a coin. If it lands on heads‚ Rosencrantz gets it‚ if tails then it goes to Guildenstern. The coin came up heads every time‚ for more than sixty flips and Guildenstern examines the law of averages. He says‚ “. . .if six monkeys were thrown up in the air for long enough they would land on their tails about as
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is the probability that it will rain on the day of my daughter’s birthday party given the current weather forecast. The April average for total rainfall plus snowfall in Middletown‚ CT is eleven days( n.d.) An extended (10 day) weather forecast shows a 40% chance of rain on April 9‚ 2011 ( n.d.). According to the National Oceanic and Atmospheric Administration (NOAA)‚ the accuracy of 6-10 day precipitation forecasts for the continuous United States stands at 40%. Using probability statistical
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Sample Term Test 2A 1. A variable X has a distribution which is described by the density curve shown below: What proportion of values of X fall between 1 and 6? (A) 0.550 (B) 0.575 (C) 0.600 (D) 0.625 (E) 0.650 2. Which of the following statements about a normal distribution is true? (A) The value of µ must always be positive. (B) The value of σ must always be positive. (C) The shape of a normal distribution depends on the value of µ. (D) The possible values of a standard normal variable
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