here are a total of 50 multiple-choice questions. Each question carries 2 marks and the full mark of the exam is 100 marks. Each question has 3 possible answers and only one of them is correct. Assume that a student attempted the exam by random guessing the answer of each question. Correct your answers to 4 decimal places. Find the probability that the student obtains at most 6 marks given that the student gets at least 45 questions wrong.Answer in 4d.p. Use the normal distribution as an approximation to the binomial distribution to estimate the probability that the student gets more than 30 marks.Answer Use the result of (b) to estimate the probability that at least three out of 8 students who choose the answer to each question randomly will get more than 30 marks. You need to use the EXACT value that you obtained from (b) to
here are a total of 50 multiple-choice questions. Each question carries 2 marks and the full mark of the exam is 100 marks. Each question has 3 possible answers and only one of them is correct. Assume that a student attempted the exam by random guessing the answer of each question. Correct your answers to 4 decimal places. Find the probability that the student obtains at most 6 marks given that the student gets at least 45 questions wrong.Answer in 4d.p. Use the normal distribution as an approximation to the binomial distribution to estimate the probability that the student gets more than 30 marks.Answer Use the result of (b) to estimate the probability that at least three out of 8 students who choose the answer to each question randomly will get more than 30 marks. You need to use the EXACT value that you obtained from (b) to
here are a total of 50 multiple-choice questions. Each question carries 2 marks and the full mark of the exam is 100 marks. Each question has 3 possible answers and only one of them is correct. Assume that a student attempted the exam by random guessing the answer of each question. Correct your answers to 4 decimal places. Find the probability that the student obtains at most 6 marks given that the student gets at least 45 questions wrong.Answer in 4d.p. Use the normal distribution as an approximation to the binomial distribution to estimate the probability that the student gets more than 30 marks.Answer Use the result of (b) to estimate the probability that at least three out of 8 students who choose the answer to each question randomly will get more than 30 marks. You need to use the EXACT value that you obtained from (b) to
there are a total of 50 multiple-choice questions. Each question carries 2 marks and the full mark of the exam is 100 marks. Each question has 3 possible answers and only one of them is correct. Assume that a student attempted the exam by random guessing the answer of each question. Correct your answers to 4 decimal places.
Find the probability that the student obtains at most 6 marks given that the student gets at least 45 questions wrong.Answer in 4d.p.
Use the normal distribution as an approximation to the binomial distribution to estimate the probability that the student gets more than 30 marks.Answer
Use the result of (b) to estimate the probability that at least three out of 8 students who choose the answer to each question randomly will get more than 30 marks. You need to use the EXACT value that you obtained from (b) to do this question. That is, do not use the rounded value to do this question.Answer
---------------------------------------------------------------- Suppose a random sample of 22 is obtained from a population that is normally distributed with mean 300 and variance 227. Find the probability that the sample standard deviation is larger than 110% of the population standard deviation. Correct your answer to 4 decimal places.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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