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    Group B

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    appropriate probability distribution. (Round your answers to 2 decimal places.) x        P(X = x) 0    1    2    b. What is the probability that he makes no more than one of the shots? (Round your answer to 2 decimal places.) P( no more than one shot) = P(X=0)+P(X=1) = 0.36+0.14 = 0.50   Probability    c. What is the probability that he makes at least one of the shots? (Round your answer to 2 decimal places.) P( atleast one ) = 1 – P( no shot) = 1 – P(X=0) = 1 – 0.36 = 0.64   Probability   

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    ASSIGNMENT

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    100 but less than or equal to Rs 150. (iii) monthly income greater than Rs 250. 2. The demand of a product is approximately normally distributed with an average demand of 300 units per month. The probability of demand being less than 280 units is 0.025. What is the probability that demand is more than 315 units? 3. Approximately 30% of the time demand of a product is more than 250 units‚ and 20% of the time demand is less than 200 units. What is the average demand?

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    Polling Probability Worksheet New Competencia Demographic Data 1. Assuming that no calls have been made to New Competencia residents yet‚ what is the probability that the first phone call will be to someone in McGovern’s target population? If there are no calls that have been made to New Competencia residents yet‚ it means that Total population=11356 Let the 18-25 years old population represented by letter A‚ and small business owners by letter B‚ and P stands for probability. Therefore‚ the probability

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    Chapter 2 11. a) Mean is 2 b) Median is 2 c) Sum of square deviations is 56. d) Variance is 2.666 or 2.7 e) Standard deviation is 1.632 or 1.6 12. a) Mean is 1312.4 or 1312 b) Median is 1361 c) Sum of square deviations is 76092.2 d) Variance is 15218.44 e) Standard deviation is 123.363 13. a) Mean is 3.166 b) Median is 3.25 c) Sum of square deviations is 0.44738 d) Variance is 0.074 e) Standard deviation is 0.272 16. a) Governor-Mean

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    Probability refers to the likelihood or relative frequency for something to happen. Blaise Pascal is referred to as the father of probability. Pascal contributed to the branch of mathematics known as probability in 1653. Through his work in probability‚ Pascal invented the binomial coefficients which are now known as Pascal’s Triangle. Pascal’s major input to the philosophy of mathematics came with his “Of the Geometric Spirit””.1 Blaise Pascal was also a major contributor to the founding of Statistics

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    Hrm/531 Week 3 Quiz

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    what is the probability that he actually is infected? (A) 0.93 (B) 0.83 (C) 0.063 (D) 0.0587 4. A study shows that employees that begin their work day at 9:00 a.m. vary their times of arrival uniformly from 8:40 a.m. to 9:30 a.m. The probability that a randomly chosen employee reports to work between 9:00 and 9:10 is: (A) 40% (B) 20% (C)10% (D) 30% (E)16.7% 5. If A and B are events such that P(A) = 0.20‚ P(B) = 0.40. Assuming that A and B are independent‚ what is the probability that none of

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    Chapter 1: Permutations 1. In how many ways can three different awards be distributed among 20 students in the following situations? a. No student may receive more than one award. b. There is no limit on the number of awards won by one student. Answer: a) 6840 b)8000 2. Consider the word BASKETBALL: a. How many permutations are there? b. How many permutations begin with the letter K? c. How many permutations

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    Q-1 STATISTICS PLAYS A VITTAL ROLE IN ALMOST EVERY FACET OF HUMAN LIFE.DECRIBE THE FUNCTIONS OF STATISTIC.EXPLAIN THE APPLICATION OF STATISTICS. ANS- MEANING OF STATISTICS- ACCORDING TO SELIGMAN “STATISTIC IS A SCIENCE WHICH DEALS WITH THE METHOD OF COLLECTING‚ CLASSIFYING‚ PRESENTING‚ COMPARING & INTERPRETING THE NUMERICAL DATA TO THROW LIGHT ON ENQUIRY.” ACCORDING TO CROXTON & COWDEN- “STATISTICS IS THE SCIENCE OF COLLECTION‚ PRESENTATION‚ ANALYSIS & INTERPRETATION OF NUMERICAL DATA FROM LOGICAL

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    Gambler’s fallacy 1 Gambler’s fallacy The Gambler’s fallacy‚ also known as the Monte Carlo fallacy (because its most famous example happened in a Monte Carlo Casino in 1913)[1] . Also referred to as the fallacy of the maturity of chances‚ which is the belief that if deviations from expected behaviour are observed in repeated independent trials of some random process‚ future deviations in the opposite direction are then more likely. For example‚ if a fair coin is tossed repeatedly and tails

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    help the management staff try and improve patients overall experience. 1. The probability of a patient responding “Dissatisfied” in each of the three different regions. In Sky Hospital Consortium there are three regions which are East‚ Central and West. In the West Region there are 16 hospitals that had 63‚791 patients visit it last year. In that year there were 5‚316 dissatisfied claims in the region. The probability of patients responding dissatisfied is 5‚316/ 63‚791=0.08333. In the Central Region

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