classical probability distribution. Learning Outcomes of the Course On completion of the module‚ students should be able to ILO1. distinguish between population and sample; apply the different sampling techniques to select a sample; ILO2. compute central tendency measures as the arithmetic mean‚ median and mode; ILO3. compute dispersion measures as the range‚ interquartile range‚ standard deviation and variance; ILO4. define probability of a simple event; correctly use the concepts of conditional‚ independent
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Duty of Care Q2. “Do you feel that the nurses caring for Scott fulfilled the duty of care that was owed him? The NMC: The Code requires nurses and midwifes to treat people as individuals. They must treat them kindly with consideration and respect their dignity. They must act as an advocate for people in their care and provide them with support and information access to health and social care needs. I don’t feel that Scott was treated in this way. According to Scott he was not given
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Robotic Emotions Time will inevitably affects the way we view the world around us. As time moves on so to does ones opinions and views on the world around. Transitioning through age also affects our view on reality. In Alison Gopnik’s “Possible Worlds: Why Do Children Pretend?” she shows us the difference between how children and adults perceive things. At the same time in Sherry Turkle’s “Alone Together” we are shown how growing technology affects are views on reality. When one combines the ideas
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idea of probability to describe the outcomes of real life phenomena has been an invaluable tool for many different fields. The concern of the present discussion is blackjack. Though to some a seemingly trivial topic‚ the use of probabilistic strategies in blackjack and other gambling games has earned many players a fair amount of reward (Thompson‚ 2009). Indeed‚ some of the earliest applications of probability were motivated by gambling games (Jardine‚ 2000). In blackjack‚ the use of probability underlies
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‚ respectively; (b) the correlation coefficient of X and Y is independent if and only if (c) σ2 2 ( x − µ 1 )‚ (1 − ρ 2 )σ 2 ; σ1 the conditional distribution of X‚ given Y = y‚ is N µ1 + ρ (e) ρ = 0; the conditional distribution of Y‚ given X = x‚ is Nµ2 + ρ (d) ρ XY = ρ‚ and X and Y are σ1 ( y − µ 2 )‚ (1 − ρ 2 )σ 12 . σ2 a X + b Y is normally distributed with mean E(aX + bY)
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Probability and Statistics Research Project Name: Lakeisha M. Henderson ID: @02181956 Spring 2007 Abstract Table of Contents Principle Component Analysis (PCA) Definition .4 Uses of PCA 5 Illustrative Example of PCA 5 Method to Determine PCA ..6 Basic Analysis of Variance (ANOVA) Purpose and Definition of ANOVA 12 Illustrative Example of ANOVA
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25.2 26.5 28.0 28.2 32.6 32.9 70.1 76.1 84.5 The position of the 60th percentile is Conditional probability is the probability that an event will occur given that another has already occurred. If A and B are two events‚ then the conditional probability A given B is written as P ( A | B ) and read as “the probability of A given that B has already occurred.” We are to calculate the probability of the intersection of the events F and G. P(F and G) = P(F) P(G |F) P(F) = 13/40 P(G
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Shridharan PRACTICE PROBLEMS 1. (a) What is the probability that a leap year selected at random will contain 53 Tuesdays? (b) What is the probability that a leap year selected at random will contain 53 Sundays or 53 Mondays? 2. A bag contains 8 black‚ 3 red and 9 white balls. If 3 balls are drawn at random ‚ find the probability that (a) all are black‚ (b) 2 are black and 1 is white‚ (c) 1 of each colour‚ (d)
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213 Problem Set Solve each of the following problems. 1. A coin is tossed four times. What is the probability that at least 2 heads will occur? 2. A pair of dice is rolled. What is the probability that the sum is equal to the following? a. 5 b. 10 c. at most 9 d. at least 8 3. A chip is drawn at random from a jar containing 8 red‚ 2 blue‚ 3 green‚ 4 yellow‚ and 3 white chips. Determine the probability that it is: a. Red b. Yellow or red c. Not orange 4. In a graduating class of 300 students‚ 162 studied
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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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